subject:(stochastic simulation)

University of New South Wales

1. AKL, Amany Mohamed Mamdouh. Simulation Assisted Evolutionary Algorithms for Stochastic Optimization.

Degree: Engineering & Information Technology, 2019, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/64897

► Stochastic optimization is a well-known challenging research topic. As of the literature, simulation-assisted optimization is a popular approach for solving stochastic optimization problems, in which… (more)

▼ Stochastic optimization is a well-known challenging research topic. As of the literature, simulation-assisted optimization is a popular approach for solving stochastic optimization problems, in which the simulation and optimization approaches are applied independently with very little interaction between them. For it, the main challenge is to obtain high quality stochastic solutions, by minimizing computational cost to a reasonable level. Furthermore, reliability of the solutions of such problems is a vital requirement, especially for studies under worst-case scenarios. The objective of this thesis, is to propose a number of new simulation budget control strategies that improve the effectiveness of Simulation-assisted Evolutionary Algorithms, and to also provide a reliable framework in the presence of stochastic constraints. The algorithm is known as Simulation Optimization (Sim-Opt) Algorithm. This thesis considers Stochastic Constrained Optimization Problems (SCOPs), while Monte-Carlo Simulation (MCS) is considered as the simulation approach and Differential Evolution (DE) as the optimization approach. Chance Constrained Programming (CCP) is also considered as an alternative approach for handling constraints’ uncertainty for SCOPs. However, the main emphasis is to reduce the simulation budget in the Sim-Opt approach and to provide reliable and high fidelity solutions. Firstly, a novel Computational Budget Control (CBC) scheme is designed to reduce the computational cost in the proposed Simulation-assisted Differential Evolution (Sim-DE) algorithm, by maintaining an appropriate level of solution fidelity. Secondly, an Adaptive Segment Based Scheme (ASBS) is proposed for effective allocation of the simulation budget in the Sim-DE algorithm. Thirdly, a new two-stage Sim-DE with Reliable CCP (RCCP) algorithm (two-stage DE-CCP/RCCP) is proposed to deal with stochastic parameters in constraints. The performance of the proposed algorithms is compared with other state-of-the-art simulation budget allocation techniques, by solving a modified set of IEEE-CEC’2006 test problems and a wind-thermal power system application. The experimental results reveal that the first two algorithms are able to substantially reduce the simulation budget, with an insignificant effect on solution fidelity. While the third algorithm’s experimental results showed, that it is able to provide solutions with minimum possible infeasibility risk levels and high reliability levels. Advisors/Committee Members: Sarker, Ruhul, Engineering & Information Technology, UNSW Canberra, UNSW, Essam, Daryl, Engineering & Information Technology, UNSW Canberra, UNSW.

Subjects/Keywords: Stochastic optimization; Simulation-assisted optimization

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APA (6^th Edition):

AKL, A. M. M. (2019). Simulation Assisted Evolutionary Algorithms for Stochastic Optimization. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/64897

Chicago Manual of Style (16^th Edition):

AKL, Amany Mohamed Mamdouh. “Simulation Assisted Evolutionary Algorithms for Stochastic Optimization.” 2019. Doctoral Dissertation, University of New South Wales. Accessed March 07, 2021. http://handle.unsw.edu.au/1959.4/64897.

MLA Handbook (7^th Edition):

AKL, Amany Mohamed Mamdouh. “Simulation Assisted Evolutionary Algorithms for Stochastic Optimization.” 2019. Web. 07 Mar 2021.

Vancouver:

AKL AMM. Simulation Assisted Evolutionary Algorithms for Stochastic Optimization. [Internet] [Doctoral dissertation]. University of New South Wales; 2019. [cited 2021 Mar 07]. Available from: http://handle.unsw.edu.au/1959.4/64897.

Council of Science Editors:

AKL AMM. Simulation Assisted Evolutionary Algorithms for Stochastic Optimization. [Doctoral Dissertation]. University of New South Wales; 2019. Available from: http://handle.unsw.edu.au/1959.4/64897

University of Texas – Austin

2. Moon, Jae Sang. Approaches to stochastic simulation of waked wind fields in wind turbine arrays.

Degree: PhD, Civil Engineering, 2016, University of Texas – Austin

URL: http://hdl.handle.net/2152/68305

► Wind turbines in a wind plant do not always experience free-stream flow fields. The flow fields inside a wind plant or wind farm, waked by… (more)

▼ Wind turbines in a wind plant do not always experience free-stream flow fields. The flow fields inside a wind plant or wind farm, waked by upwind turbines, exhibit different dynamic characteristics. The International Electrotechnical Commission (IEC) standard 61400-1 for the design of wind turbines only considers a deterministic wake model for the design of a wind plant. This study is focused on the stochastic modeling of waked wind fields for assessing turbine loads using a regression-based approach. The waked wind velocity field is generated using Large-Eddy Simulation (LES). Stochastic characteristics of the generated waked wind velocity field, including the mean and turbulence components, are analyzed. Proper orthogonal decomposition (POD) and spectral methods are proposed to develop reduced-order engineering model-based wind velocity fields as alternatives to the LES-generated waked fields. The reduced-order model-based simulation employs either a subset of the POD eigenmodes or Fourier-based spectral simulation with parameters derived from LES in illustrations with a wake-generating turbine. With the spectral model, wake-related spectral parameters are estimated using Multivariate Multiple Linear Regression (MMLR). To validate the simulated wind fields based on the reduced-order models, wind turbine tower and blade loads are generated using aeroelastic simulation for a utility-scale wind turbine model and compared with those based on LES. This study also discusses the construction of a stochastic expanded-wake model for wind turbines experiencing fully and partially waked situations. The study's overall objective is to offer efficient stochastic approaches that are computationally tractable, when assessing the performance and loads of turbines operating in wakes. Validation studies are carried out by comparion with loads computed directly from LES wake fields. Advisors/Committee Members: Manuel, Lance (advisor), John L. Tassoulas, John L (committee member), Novoselac, Atila (committee member), Tinney, Charles (committee member), Veers, Paul (committee member).

Subjects/Keywords: Stochastic simulation; Wake; Wind turbine

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APA (6^th Edition):

Moon, J. S. (2016). Approaches to stochastic simulation of waked wind fields in wind turbine arrays. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68305

Chicago Manual of Style (16^th Edition):

Moon, Jae Sang. “Approaches to stochastic simulation of waked wind fields in wind turbine arrays.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed March 07, 2021. http://hdl.handle.net/2152/68305.

MLA Handbook (7^th Edition):

Moon, Jae Sang. “Approaches to stochastic simulation of waked wind fields in wind turbine arrays.” 2016. Web. 07 Mar 2021.

Vancouver:

Moon JS. Approaches to stochastic simulation of waked wind fields in wind turbine arrays. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2152/68305.

Council of Science Editors:

Moon JS. Approaches to stochastic simulation of waked wind fields in wind turbine arrays. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/68305

George Mason University

3. Farley, Susan. Top- K Algorithms for SimQL: A Decision Guidance Query Language Based on Stochastic Simulation .

Degree: 2014, George Mason University

URL: http://hdl.handle.net/1920/9073

► Many applications in diverse areas such as manufacturing systems and sustainable energy systems require making complex decision based on stochastic data. Probabilistic and statistical databases… (more)

Subjects/Keywords: Simulation Optimization; Stochastic Simulation; Top K Algorithms

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APA (6^th Edition):

Farley, S. (2014). Top- K Algorithms for SimQL: A Decision Guidance Query Language Based on Stochastic Simulation . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/9073

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Farley, Susan. “Top- K Algorithms for SimQL: A Decision Guidance Query Language Based on Stochastic Simulation .” 2014. Thesis, George Mason University. Accessed March 07, 2021. http://hdl.handle.net/1920/9073.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Farley, Susan. “Top- K Algorithms for SimQL: A Decision Guidance Query Language Based on Stochastic Simulation .” 2014. Web. 07 Mar 2021.

Vancouver:

Farley S. Top- K Algorithms for SimQL: A Decision Guidance Query Language Based on Stochastic Simulation . [Internet] [Thesis]. George Mason University; 2014. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1920/9073.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Farley S. Top- K Algorithms for SimQL: A Decision Guidance Query Language Based on Stochastic Simulation . [Thesis]. George Mason University; 2014. Available from: http://hdl.handle.net/1920/9073

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Guelph

4. Ahmad, Saira. A Genetic Algorithm Approach to Exploring Simulation Parameters.

Degree: MS, Department of Computing and Information Science, 2012, University of Guelph

URL: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3996

► Simulation of animal disease spread is essential for understanding and controlling the outbreak of disease among herds of livestock (in particular cattle and poultry). Using… (more)

Subjects/Keywords: Genetic Algorithm; animal disease spread simulator; stochastic simulation; simulation; simulation parameters

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APA (6^th Edition):

Ahmad, S. (2012). A Genetic Algorithm Approach to Exploring Simulation Parameters. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3996

Chicago Manual of Style (16^th Edition):

Ahmad, Saira. “A Genetic Algorithm Approach to Exploring Simulation Parameters.” 2012. Masters Thesis, University of Guelph. Accessed March 07, 2021. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3996.

MLA Handbook (7^th Edition):

Ahmad, Saira. “A Genetic Algorithm Approach to Exploring Simulation Parameters.” 2012. Web. 07 Mar 2021.

Vancouver:

Ahmad S. A Genetic Algorithm Approach to Exploring Simulation Parameters. [Internet] [Masters thesis]. University of Guelph; 2012. [cited 2021 Mar 07]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3996.

Council of Science Editors:

Ahmad S. A Genetic Algorithm Approach to Exploring Simulation Parameters. [Masters Thesis]. University of Guelph; 2012. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3996

5. Moraes, Alvaro. Simulation and Statistical Inference of Stochastic Reaction Networks with Applications to Epidemic Models.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2015, King Abdullah University of Science and Technology

URL: http://hdl.handle.net/10754/344375

► Epidemics have shaped, sometimes more than wars and natural disasters, demo- graphic aspects of human populations around the world, their health habits and their economies.… (more)

▼ Epidemics have shaped, sometimes more than wars and natural disasters, demo- graphic aspects of human populations around the world, their health habits and their economies. Ebola and the Middle East Respiratory Syndrome (MERS) are clear and current examples of potential hazards at planetary scale. During the spread of an epidemic disease, there are phenomena, like the sudden extinction of the epidemic, that can not be captured by deterministic models. As a consequence, stochastic models have been proposed during the last decades. A typical forward problem in the stochastic setting could be the approximation of the expected number of infected individuals found in one month from now. On the other hand, a typical inverse problem could be, given a discretely observed set of epidemiological data, infer the transmission rate of the epidemic or its basic reproduction number. Markovian epidemic models are stochastic models belonging to a wide class of pure jump processes known as Stochastic Reaction Networks (SRNs), that are intended to describe the time evolution of interacting particle systems where one particle interacts with the others through a finite set of reaction channels. SRNs have been mainly developed to model biochemical reactions but they also have applications in neural networks, virus kinetics, and dynamics of social networks, among others. 4 This PhD thesis is focused on novel fast simulation algorithms and statistical inference methods for SRNs. Our novel Multi-level Monte Carlo (MLMC) hybrid simulation algorithms provide accurate estimates of expected values of a given observable of SRNs at a prescribed final time. They are designed to control the global approximation error up to a user-selected accuracy and up to a certain confidence level, and with near optimal computational work. We also present novel dual-weighted residual expansions for fast estimation of weak and strong errors arising from the MLMC methodology. Regarding the statistical inference aspect, we first mention an innovative multi- scale approach, where we introduce a deterministic systematic way of using up-scaled likelihoods for parameter estimation while the statistical fittings are done in the base model through the use of the Master Equation. In a di↵erent approach, we derive a new forward-reverse representation for simulating stochastic bridges between con- secutive observations. This allows us to use the well-known EM Algorithm to infer the reaction rates. The forward-reverse methodology is boosted by an initial phase where, using multi-scale approximation techniques, we provide initial values for the EM Algorithm. Advisors/Committee Members: Tempone, Raul (advisor), Knio, Omar (committee member), Bisetti, Fabrizio (committee member), Genton, Marc G. (committee member), Giles, Michael B. (committee member).

Subjects/Keywords: stochastic numerics; stochastic processes; multi-level monte carlo; stochastic reaction networks; Simulation; statistical inference

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APA (6^th Edition):

Moraes, A. (2015). Simulation and Statistical Inference of Stochastic Reaction Networks with Applications to Epidemic Models. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/344375

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Moraes, Alvaro. “Simulation and Statistical Inference of Stochastic Reaction Networks with Applications to Epidemic Models.” 2015. Thesis, King Abdullah University of Science and Technology. Accessed March 07, 2021. http://hdl.handle.net/10754/344375.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Moraes, Alvaro. “Simulation and Statistical Inference of Stochastic Reaction Networks with Applications to Epidemic Models.” 2015. Web. 07 Mar 2021.

Vancouver:

Moraes A. Simulation and Statistical Inference of Stochastic Reaction Networks with Applications to Epidemic Models. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2015. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10754/344375.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Moraes A. Simulation and Statistical Inference of Stochastic Reaction Networks with Applications to Epidemic Models. [Thesis]. King Abdullah University of Science and Technology; 2015. Available from: http://hdl.handle.net/10754/344375

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Rochester Institute of Technology

6. Saripalli, Surya. A Dynamic inventory optimization method applied to printer fleet management.

Degree: Industrial and Systems Engineering, 2011, Rochester Institute of Technology

URL: https://scholarworks.rit.edu/theses/5696

► Current optimization methods for inventory management of toner cartridges for printer fleets typically focus on aggregate cartridge demand. However, with the development of printer technology,… (more)

Subjects/Keywords: Inventory management; Optimization; Printers; Simulation; Stochastic

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APA (6^th Edition):

Saripalli, S. (2011). A Dynamic inventory optimization method applied to printer fleet management. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/5696

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Saripalli, Surya. “A Dynamic inventory optimization method applied to printer fleet management.” 2011. Thesis, Rochester Institute of Technology. Accessed March 07, 2021. https://scholarworks.rit.edu/theses/5696.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Saripalli, Surya. “A Dynamic inventory optimization method applied to printer fleet management.” 2011. Web. 07 Mar 2021.

Vancouver:

Saripalli S. A Dynamic inventory optimization method applied to printer fleet management. [Internet] [Thesis]. Rochester Institute of Technology; 2011. [cited 2021 Mar 07]. Available from: https://scholarworks.rit.edu/theses/5696.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Saripalli S. A Dynamic inventory optimization method applied to printer fleet management. [Thesis]. Rochester Institute of Technology; 2011. Available from: https://scholarworks.rit.edu/theses/5696

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Cornell University

7. Waeber, Rolf. Probabilistic Bisection Search For Stochastic Root-Finding.

Degree: PhD, Operations Research, 2013, Cornell University

URL: http://hdl.handle.net/1813/33929

► The goal of a stochastic root-finding algorithm is to locate a point x* such that g (x* ) = 0 for a given function g… (more)

▼ The goal of a stochastic root-finding algorithm is to locate a point x* such that g (x* ) = 0 for a given function g that can only be observed with noise. In this thesis we investigate the performance of the Probabilistic Bisection Algorithm (PBA), which is a one-dimensional stochastic root-finding algorithm motivated by the wellknown bisection search method. In each step, the PBA queries the function g as to whether the root lies to the left or right of a prescribed point x. Due to observational noise, the answer to each query has probability 1 [-] p(x) of being incorrect. To account for such possibilities of incorrect observations, the algorithm updates in each iteration a probability density that represents, in some sense, one's belief about the true location of the root x* . The PBA was first introduced in Horstein (1963) under the setting where p([MIDDLE DOT]) is constant and known. While the method works extremely well in this case, very little is known to date about its theoretical properties or potential extensions beyond the current setting for p([MIDDLE DOT]). The first part of this thesis provides several key findings about the PBA where p([MIDDLE DOT]) is constant and known. Collectively, they lead to the first main conclusion that the expected absolute residuals of successive search results converge to 0 at a geometric rate. In the second part, we consider the case where p([MIDDLE DOT]) is unknown and varies with x. At each query point, the function g is evaluated repeatedly until a lower bound on the probability of obtaining a correct updating signal is achieved. We first construct a true confidence interval for x* and prove that its length converges to 0 in the number of query points. Next, we show that, provided a reasonable conjecture ˆ holds, the PBA can be used to construct a sequence of estimators (XT )T such that ˆ the expected absolute residuals E[|XT [-] x* |] converge to 0 at the rate O(T [-]1/2+[epsilon] ) for any [epsilon] > 0, where T is the number of overall function evaluations. This rate is only slightly slower than O(T [-]1/2 ), which is the well-established upper bound on the convergence rate of stochastic root-finding problems. Advisors/Committee Members: Henderson, Shane G. (chair), Frazier, Peter (coChair), Jarrow, Robert A. (committee member), Todd, Michael Jeremy (committee member).

Subjects/Keywords: Probabilistic Bisection; Stochastic Root-Finding; Simulation-Optimization

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APA (6^th Edition):

Waeber, R. (2013). Probabilistic Bisection Search For Stochastic Root-Finding. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/33929

Chicago Manual of Style (16^th Edition):

Waeber, Rolf. “Probabilistic Bisection Search For Stochastic Root-Finding.” 2013. Doctoral Dissertation, Cornell University. Accessed March 07, 2021. http://hdl.handle.net/1813/33929.

MLA Handbook (7^th Edition):

Waeber, Rolf. “Probabilistic Bisection Search For Stochastic Root-Finding.” 2013. Web. 07 Mar 2021.

Vancouver:

Waeber R. Probabilistic Bisection Search For Stochastic Root-Finding. [Internet] [Doctoral dissertation]. Cornell University; 2013. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1813/33929.

Council of Science Editors:

Waeber R. Probabilistic Bisection Search For Stochastic Root-Finding. [Doctoral Dissertation]. Cornell University; 2013. Available from: http://hdl.handle.net/1813/33929

Cornell University

8. Popov, Pavel. Advances In Particle/Finite Volume Algorithms For Turbulent Reactive Flows.

Degree: PhD, Aerospace Engineering, 2013, Cornell University

URL: http://hdl.handle.net/1813/33920

► In the field of turbulent reactive flow simulations, hybrid particle/finite volume large eddy simulation/probability density function (LES/PDF) methods have been shown to be highly accurate… (more)

▼ In the field of turbulent reactive flow simulations, hybrid particle/finite volume large eddy simulation/probability density function (LES/PDF) methods have been shown to be highly accurate in simulating laboratory-scale flames. Their strengths lie in the combination of the large eddy simulation procedure's ability to resolve the large, non-universal scales of turbulence, combined with the fact that probability density function models for turbulent combustion require no closure for the highly non-linear chemistry source term. This work presents advances in such hybrid particle/finite volume LES/PDF algorithms for turbulent reactive flows. New time stepping, interpolation, and coupling schemes have been proposed with the goal of reducing particle mass consistency (PMC) error (defined as the discrepancy between particle mass density and resolved finite volume density) and overall simulation error. The Multi-step Second-order Runge-Kutta (MRK2) integration scheme is an ODE integration scheme designed for reducing PMC errors when applied to discontinuous velocity fields. When applied to a discontinuous velocity field such as might be produced by a state-of-the art velocity interpolation scheme, MRK2 preserves the continuity of the Lagrangian position mapping and is second-order convergent in time, as opposed to a standard second-order Runge-Kutta scheme, which is only first-order convergent in time when applied to a discontinuous velocity field. The Direct Richardson p-th order (DRp) is a conceptually new family of SDE integration schemes which are weakly p-th order accurate in time, where p is an arbitrary positive integer. Unlike standard SDE integration schemes, which are based on matching appropriate terms in the Ito-Taylor expansion of the stochastic process, the DRp schemes work via Richardson extrapolation between the probability density functions of a set of first-order accurate Euler approximations with differing time steps. In the context of the Large Eddy Simulation/Probability Density Function (LES/PDF) code developed by the Turbulence and Combustion Group at Cornell University, a PDF to LES density coupling scheme via a transported specific volume (TSV) has been developed. While coupling approaches similar to TSV have been used previously in LES/PDF application, the present implementation is the first to allow overall second-order accuracy of the LES/PDF code in space and time. New implicit and explicit schemes for PMC error reduction schemes have been developed and tested in the context of the Sandia-Sydney bluff-body flame. Implicit PMC preservation schemes include new velocity and diffusivity interpolation algorithms, and explicit PMC error correction is achieved via a corrective velocity. While corrective velocity schemes have been used previously, the present algorithm, featuring a smoothed version of the PMC error field, is capable of maintaining the same PMC error levels with a corrective velocity of lower magnitude. Finally, the LES/PDF algorithm, developed by the Turbulence and Combustion group at… Advisors/Committee Members: Pope, Stephen Bailey (chair), Vladimirsky, Alexander B. (committee member), Caughey, David Alan (committee member).

Subjects/Keywords: numerical algorithms; turbulent reactive flows; stochastic simulation

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APA (6^th Edition):

Popov, P. (2013). Advances In Particle/Finite Volume Algorithms For Turbulent Reactive Flows. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/33920

Chicago Manual of Style (16^th Edition):

Popov, Pavel. “Advances In Particle/Finite Volume Algorithms For Turbulent Reactive Flows.” 2013. Doctoral Dissertation, Cornell University. Accessed March 07, 2021. http://hdl.handle.net/1813/33920.

MLA Handbook (7^th Edition):

Popov, Pavel. “Advances In Particle/Finite Volume Algorithms For Turbulent Reactive Flows.” 2013. Web. 07 Mar 2021.

Vancouver:

Popov P. Advances In Particle/Finite Volume Algorithms For Turbulent Reactive Flows. [Internet] [Doctoral dissertation]. Cornell University; 2013. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1813/33920.

Council of Science Editors:

Popov P. Advances In Particle/Finite Volume Algorithms For Turbulent Reactive Flows. [Doctoral Dissertation]. Cornell University; 2013. Available from: http://hdl.handle.net/1813/33920

Cornell University

9. Wen, Bin. Stochastic Multiscale Modeling Of Polycrystalline Materials.

Degree: PhD, Aerospace Engineering, 2013, Cornell University

URL: http://hdl.handle.net/1813/33822

► Mechanical properties of engineering materials are sensitive to the underlying random microstructure. Quantification of mechanical property variability induced by microstructure variation is essential for the… (more)

▼ Mechanical properties of engineering materials are sensitive to the underlying random microstructure. Quantification of mechanical property variability induced by microstructure variation is essential for the prediction of extreme properties and microstructure-sensitive design of materials. Recent advances in high throughput characterization of polycrystalline microstructures have resulted in huge data sets of microstructural descriptors and image snapshots. To utilize these large scale experimental data for computing the resulting variability of macroscopic properties, appropriate mathematical representation of microstructures is needed. By exploring the space containing all admissible microstructures that are statistically similar to the available data, one can estimate the distribution/envelope of possible properties by employing efficient stochastic simulation methodologies along with robust physics-based deterministic simulators. The focus of this thesis is on the construction of lowdimensional representations of random microstructures and the development of efficient physics-based simulators for polycrystalline materials. By adopting appropriate stochastic methods, such as Monte Carlo and Adaptive Sparse Grid Collocation methods, the variability of microstructure-sensitive properties of polycrystalline materials is investigated. The primary outcomes of this thesis include: • Development of data-driven reduced-order representations of microstruc- ture variations to construct the admissible space of random polycrystalline microstructures. • Development of accurate and efficient physics-based simulators for the estimation of material properties based on mesoscale microstructures. • Investigating property variability of polycrystalline materials using efficient stochastic simulation methods in combination with the above two developments. The uncertainty quantification framework developed in this work integrates information science and materials science, and provides a new outlook to multiscale materials modeling accounting for microstructure and process uncertainties. Predictive materials modeling will accelerate the development of new materials and processes for critical applications in industry. Advisors/Committee Members: Zabaras, Nicholas John (chair), Earls, Christopher J (committee member), Warner, Derek H. (committee member).

Subjects/Keywords: Stochastic simulation; Multiscale modeling; Polycrystalline materials

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APA (6^th Edition):

Wen, B. (2013). Stochastic Multiscale Modeling Of Polycrystalline Materials. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/33822

Chicago Manual of Style (16^th Edition):

Wen, Bin. “Stochastic Multiscale Modeling Of Polycrystalline Materials.” 2013. Doctoral Dissertation, Cornell University. Accessed March 07, 2021. http://hdl.handle.net/1813/33822.

MLA Handbook (7^th Edition):

Wen, Bin. “Stochastic Multiscale Modeling Of Polycrystalline Materials.” 2013. Web. 07 Mar 2021.

Vancouver:

Wen B. Stochastic Multiscale Modeling Of Polycrystalline Materials. [Internet] [Doctoral dissertation]. Cornell University; 2013. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1813/33822.

Council of Science Editors:

Wen B. Stochastic Multiscale Modeling Of Polycrystalline Materials. [Doctoral Dissertation]. Cornell University; 2013. Available from: http://hdl.handle.net/1813/33822

University of Saskatchewan

10. Guo, Qi 1993-. Logistic Operator Equation and the Induced Stochastic Process for Complex System Modelling.

Degree: 2018, University of Saskatchewan

URL: http://hdl.handle.net/10388/11224

► The logistic operator equation (LOE) is a type of a multidimensional system of nonlinear ordinary differential equations developed from the classical logistic equation (LE), which… (more)

Subjects/Keywords: Complex networks; Operator equation; Stochastic process; Simulation

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APA (6^th Edition):

Guo, Q. 1. (2018). Logistic Operator Equation and the Induced Stochastic Process for Complex System Modelling. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/11224

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Guo, Qi 1993-. “Logistic Operator Equation and the Induced Stochastic Process for Complex System Modelling.” 2018. Thesis, University of Saskatchewan. Accessed March 07, 2021. http://hdl.handle.net/10388/11224.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Guo, Qi 1993-. “Logistic Operator Equation and the Induced Stochastic Process for Complex System Modelling.” 2018. Web. 07 Mar 2021.

Vancouver:

Guo Q1. Logistic Operator Equation and the Induced Stochastic Process for Complex System Modelling. [Internet] [Thesis]. University of Saskatchewan; 2018. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10388/11224.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Guo Q1. Logistic Operator Equation and the Induced Stochastic Process for Complex System Modelling. [Thesis]. University of Saskatchewan; 2018. Available from: http://hdl.handle.net/10388/11224

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

11. Ashirgade, Shriram (author). A Particle-based Approach for Stochastic Modelling of Waves in the Near-shore Region.

Degree: 2019, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:89ae611d-cf7b-4911-adee-58cbdfccff94

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Processes occurring in the near-shore region operates on a small spatial and temporal scale. Simulations of these processes have long posed challenges for computational science,… (more)

▼

Processes occurring in the near-shore region operates on a small spatial and temporal scale. Simulations of these processes have long posed challenges for computational science, and to have accurate representations require a higher resolution. This results in computationally expensive models. This project aimed to investigate the possibility of a new stochastic model, simulate these processes with higher computational efficiency, and estimate the energy density and spectral properties of waves in the near-shore region. The gist of the particle model is to discretize the energy flux into several packets of finite energy, propagating in the domain, and governed by the equations derived from the wave dynamics. These particles correspond to a particular wave component at a particular location and, therefore, are defined by these wave properties. The equations of particle motion are derived from the wave dynamics by treating energy density as probability density and the energy balance equation as a Fokker-Planck equation while the energy dissipation is modelled with exponential decay of particle energy with a location-dependent rate. An iterative approach is taken to accommodate the dissipation processes resulting from the wave interactions. These particles were treated as independent to create prospects of asynchronous computation and providing the scope of computational optimization. The phenomena of shoaling, refraction, bottom friction, and depth-induced surf breaking are included in the implementation for both monochromatic waves and irregular waves described by a two-dimensional wave spectrum. The model is tested for its performance and accuracy by comparing with the estimations from other existing models. The ability to provide control over processes in computations made SWAN a perfect candidate as a benchmark. The results showed a high degree of accuracy on comparison while the computational time was of the same order or lower to that of the SWAN model for most of the cases with a great scope of improvement. It was also observed that high computational efficiency could be achieved by sacrificing little accuracy. Additional dominant processes were identified affecting the accuracy in certain conditions by comparing the model with lab measurement data. Non-linear wave-wave interactions play an important role in the evolution of the spectrum, while diffraction becomes dominant for the flow over a shoal in two-dimension. These processes are considered as future scope of the project. The results show that with a stochastic model, it is possible to simulate real-life situations and does need further development to include additional processes and make the model computationally robust.

Applied Mathematics

Advisors/Committee Members: Verlaan, Martin (mentor), Reniers, Ad (graduation committee), Heemink, Arnold (graduation committee), van der Lugt, Marlies (graduation committee), Groeneweg, Jacco (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: Wave modeling; Stochastic Simulation; Near-shore; Particles

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APA (6^th Edition):

Ashirgade, S. (. (2019). A Particle-based Approach for Stochastic Modelling of Waves in the Near-shore Region. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:89ae611d-cf7b-4911-adee-58cbdfccff94

Chicago Manual of Style (16^th Edition):

Ashirgade, Shriram (author). “A Particle-based Approach for Stochastic Modelling of Waves in the Near-shore Region.” 2019. Masters Thesis, Delft University of Technology. Accessed March 07, 2021. http://resolver.tudelft.nl/uuid:89ae611d-cf7b-4911-adee-58cbdfccff94.

MLA Handbook (7^th Edition):

Ashirgade, Shriram (author). “A Particle-based Approach for Stochastic Modelling of Waves in the Near-shore Region.” 2019. Web. 07 Mar 2021.

Vancouver:

Ashirgade S(. A Particle-based Approach for Stochastic Modelling of Waves in the Near-shore Region. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://resolver.tudelft.nl/uuid:89ae611d-cf7b-4911-adee-58cbdfccff94.

Council of Science Editors:

Ashirgade S(. A Particle-based Approach for Stochastic Modelling of Waves in the Near-shore Region. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:89ae611d-cf7b-4911-adee-58cbdfccff94

Macquarie University

12. Gretz, Friedrich. Semantics and loop invariant synthesis for probabilistic programs.

Degree: 2015, Macquarie University

URL: http://hdl.handle.net/1959.14/1051765

►

"A thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy in the Department of Computing, Faculty of Science and Engineering,… (more)

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"A thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy in the Department of Computing, Faculty of Science and Engineering, Macquarie University".

"2014".

Bibliography: pages 75-82.

1. Introduction – 2. Linking operational and denotational semantics – 3. Conditional probabilities and expectations – 4. Automated analysis – Chapter 5. Conclusion and future work – Appendices.

In this thesis we consider sequential probabilistic programs. Such programs are a means to model randomised algorithms in computer science. They facilitate the formal analysis of performance and correctness of algorithms or security aspects of protocols. We develop an operational semantics for probabilistic programs and show it to be equivalent to the expectation transformer semantics due to McIver and Morgan. This connection between the two kinds of semantics provides a deeper understanding of the behaviour of probabilistic programs and is instrumental to transfer results between communities that use transition systems such as Markov decision processes to reason about probabilistic behaviour and communities that focus on deductive verification techniques based on expectation transformers. As a next step, we add the concept of observations and extend both semantics to facilitate the calculation of expectations which are conditioned on the fact that no observation is violated during the program's execution. Our main contribution here is to explore issues that arise with non-terminating, non-deterministic or infeasible programs and provide semantics that are generally applicable. Additionally, we discuss several program transformation to facilitate the understanding of conditioning in probabilistic programming. In the last part of the thesis we turn our attention to the automated verification of probabilistic programs. We are interested in automating inductive verification techniques. As usual the main obstacle in program analysis are loops which require either the calculation of fixed points or the generation of inductive invariants for their analysis. This task, which is already hard for standard, i.e. non-probabilistic, programs, becomes even more challenging as our reasoning becomes quantitative. We focus on a technique to generate quantitative loop invariants from user defined templates. This approach is implemented in a software tool called Prinsys and evaluated on several examples.

1 online resource (x, 85 pages) illustrations (some coloured)

Advisors/Committee Members: Macquarie University. Department of Computing.

Subjects/Keywords: Probabilities – Computer simulation; Stochastic analysis; Computer algorithms

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APA (6^th Edition):

Gretz, F. (2015). Semantics and loop invariant synthesis for probabilistic programs. (Doctoral Dissertation). Macquarie University. Retrieved from http://hdl.handle.net/1959.14/1051765

Chicago Manual of Style (16^th Edition):

Gretz, Friedrich. “Semantics and loop invariant synthesis for probabilistic programs.” 2015. Doctoral Dissertation, Macquarie University. Accessed March 07, 2021. http://hdl.handle.net/1959.14/1051765.

MLA Handbook (7^th Edition):

Gretz, Friedrich. “Semantics and loop invariant synthesis for probabilistic programs.” 2015. Web. 07 Mar 2021.

Vancouver:

Gretz F. Semantics and loop invariant synthesis for probabilistic programs. [Internet] [Doctoral dissertation]. Macquarie University; 2015. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1959.14/1051765.

Council of Science Editors:

Gretz F. Semantics and loop invariant synthesis for probabilistic programs. [Doctoral Dissertation]. Macquarie University; 2015. Available from: http://hdl.handle.net/1959.14/1051765

Virginia Tech

13. Liu, Weigang. A Gillespie-Type Algorithm for Particle Based Stochastic Model on Lattice.

Degree: MS, Computer Science, 2019, Virginia Tech

URL: http://hdl.handle.net/10919/96455

► Computer simulation has been developed for almost one century. Stochastic lattice model, which follows the physics concept of lattice, is defined as a kind of… (more)

Subjects/Keywords: Gillespie algorithm; stochastic simulation; lattice model

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APA (6^th Edition):

Liu, W. (2019). A Gillespie-Type Algorithm for Particle Based Stochastic Model on Lattice. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/96455

Chicago Manual of Style (16^th Edition):

Liu, Weigang. “A Gillespie-Type Algorithm for Particle Based Stochastic Model on Lattice.” 2019. Masters Thesis, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/96455.

MLA Handbook (7^th Edition):

Liu, Weigang. “A Gillespie-Type Algorithm for Particle Based Stochastic Model on Lattice.” 2019. Web. 07 Mar 2021.

Vancouver:

Liu W. A Gillespie-Type Algorithm for Particle Based Stochastic Model on Lattice. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/96455.

Council of Science Editors:

Liu W. A Gillespie-Type Algorithm for Particle Based Stochastic Model on Lattice. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/96455

University of New South Wales

14. Pei, Yang. An investigation of methodologies for stochastic simulation of helicopter accidents under autorotation scenarios.

Degree: Mechanical & Manufacturing Engineering, 2016, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/56911 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42023/SOURCE02?view=true

► Traditionally investigation into helicopter accidents has focused heavily on building complex, deterministic FE models and attempting to validate them with a small number of full… (more)

▼ Traditionally investigation into helicopter accidents has focused heavily on building complex, deterministic FE models and attempting to validate them with a small number of full size crash tests. One of the major drawbacks of this methodology is that it does not address the dissimilarity of loads generated in nominally identical crashes. To take into account inherent uncertainties in the helicopter crashes, the classic deterministic approach has been replaced in this work by simulation using stochastic algorithms. The chaotic nature, due to complexity in helicopter accidents, requires a much more robust simulation framework to capture a broad spectrum of potential crash scenarios.The thesis aims to investigate helicopter accidents resulting from engine failure by using stochastic simulation methods. An innovative, hierarchical block structure for a stochastic simulation is developed for investigating the variability in a full crash event reduced to two phases: flight emergency simulation and structure crash simulation. Non-parametric analysis is performed on the stochastic injury responses which attempt to predict the severity of the occupant’s injuries caused by helicopter accidents. The modelling framework establishes correlations between the critical parameters prior to helicopter accidents and possible occupant injury metrics. To achieve this aim, various stochastic algorithms are performed throughout the stochastic framework for the typical helicopter accidents. An investigation into helicopter accidents after engine failure is investigated by simulating auto-rotational flight within a range of sampled pre-event flight conditions to establish the correlation between initial flight parameters and the impact response. The structural crash simulation uses impact loads randomly selected from within the boundary of the flight simulation results to determine accelerations at the seat position. The potential injury is predicted by the stochastically generated acceleration peak-values the human body is subjected to and is evaluated by the resulting robust solution based on a computational geometry algorithm.A highly flexible, hierarchical, stochastic simulation framework has been established for investigating helicopter accidents. It has been demonstrated for the case of complete engine failure during flight leading to autorotation. The significance of this approach is the resulting combination of a complete crash event into a single framework which can be robustly analysed to study the limits of occupant harm. This work will lead to strategies for minimizing occupant harm and maximizing survivability for a wide range of helicopter accident scenarios by both structural modification and flight procedural changes. Some techniques supporting the stochastic analysis are successfully used offering the possibility of projecting the methodology into other engineering domains. Advisors/Committee Members: Page, John, Mechanical & Manufacturing Engineering, Faculty of Engineering, UNSW, Pearce, Garth, Mechanical & Manufacturing Engineering, Faculty of Engineering, UNSW.

Subjects/Keywords: Non-parametric analysis; Stochastic simulation; Helicopter accident

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Pei, Y. (2016). An investigation of methodologies for stochastic simulation of helicopter accidents under autorotation scenarios. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/56911 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42023/SOURCE02?view=true

Chicago Manual of Style (16^th Edition):

Pei, Yang. “An investigation of methodologies for stochastic simulation of helicopter accidents under autorotation scenarios.” 2016. Doctoral Dissertation, University of New South Wales. Accessed March 07, 2021. http://handle.unsw.edu.au/1959.4/56911 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42023/SOURCE02?view=true.

MLA Handbook (7^th Edition):

Pei, Yang. “An investigation of methodologies for stochastic simulation of helicopter accidents under autorotation scenarios.” 2016. Web. 07 Mar 2021.

Vancouver:

Pei Y. An investigation of methodologies for stochastic simulation of helicopter accidents under autorotation scenarios. [Internet] [Doctoral dissertation]. University of New South Wales; 2016. [cited 2021 Mar 07]. Available from: http://handle.unsw.edu.au/1959.4/56911 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42023/SOURCE02?view=true.

Council of Science Editors:

Pei Y. An investigation of methodologies for stochastic simulation of helicopter accidents under autorotation scenarios. [Doctoral Dissertation]. University of New South Wales; 2016. Available from: http://handle.unsw.edu.au/1959.4/56911 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42023/SOURCE02?view=true

Virginia Tech

15. Chen, Minghan. Stochastic Modeling and Simulation of Multiscale Biochemical Systems.

Degree: PhD, Computer Science and Applications, 2019, Virginia Tech

URL: http://hdl.handle.net/10919/90898

► Modeling and simulation of biochemical networks faces numerous challenges as biochemical networks are discovered with increased complexity and unknown mechanisms. With improvement in experimental techniques,… (more)

▼ Modeling and simulation of biochemical networks faces numerous challenges as biochemical networks are discovered with increased complexity and unknown mechanisms. With improvement in experimental techniques, biologists are able to quantify genes and proteins and their dynamics in a single cell, which calls for quantitative stochastic models, or numerical models based on probability distributions, for gene and protein networks at cellular levels that match well with the data and account for randomness. This dissertation studies a stochastic model in space and time of a bacterium’s life cycle— Caulobacter. A two-dimensional model based on a natural pattern mechanism is investigated to illustrate the changes in space and time of a key protein population. However, stochastic simulations are often complicated by the expensive computational cost for large and sophisticated biochemical networks. The hybrid stochastic simulation algorithm is a combination of traditional deterministic models, or analytical models with a single output for a given input, and stochastic models. The hybrid method can significantly improve the efficiency of stochastic simulations for biochemical networks that contain both species populations and reaction rates with widely varying magnitude. The populations of some species may become negative in the simulation under some circumstances. This dissertation investigates negative population estimates from the hybrid method, proposes several remedies, and tests them with several cases including a realistic biological system. As a key factor that affects the quality of biological models, parameter estimation in stochastic models is challenging because the amount of observed data must be large enough to obtain valid results. To optimize system parameters, the quasi-Newton algorithm for stochastic optimization (QNSTOP) was studied and applied to a stochastic (budding) yeast life cycle model by matching different distributions between simulated results and observed data. Furthermore, to reduce model complexity, this dissertation simplifies the fundamental molecular binding mechanism by the stochastic Hill equation model with optimized system parameters. Considering that many parameter vectors generate similar system dynamics and results, this dissertation proposes a general α-β-γ rule to return an acceptable parameter region of the stochastic Hill equation based on QNSTOP. Different optimization strategies are explored targeting different features of the observed data. Advisors/Committee Members: Cao, Young (committeechair), Watson, Layne T. (committeechair), Tyson, John J. (committee member), Kang, Hye Won (committee member), Sandu, Adrian (committee member).

Subjects/Keywords: Caulobacter cell cycle model; hybrid stochastic simulation algorithm; stochastic parameter optimization

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APA (6^th Edition):

Chen, M. (2019). Stochastic Modeling and Simulation of Multiscale Biochemical Systems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/90898

Chicago Manual of Style (16^th Edition):

Chen, Minghan. “Stochastic Modeling and Simulation of Multiscale Biochemical Systems.” 2019. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/90898.

MLA Handbook (7^th Edition):

Chen, Minghan. “Stochastic Modeling and Simulation of Multiscale Biochemical Systems.” 2019. Web. 07 Mar 2021.

Vancouver:

Chen M. Stochastic Modeling and Simulation of Multiscale Biochemical Systems. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/90898.

Council of Science Editors:

Chen M. Stochastic Modeling and Simulation of Multiscale Biochemical Systems. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/90898

University of Illinois – Urbana-Champaign

16. Chen, Xu. Techniques for stochastic simulation of complex electromagnetic and circuit systems with uncertainties.

Degree: PhD, Electrical & Computer Engr, 2018, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/101666

► This thesis presents a set of tools and methodologies that perform fast stochastic characterization and simulation of uncertainties in electromagnetic and circuit systems. Background information… (more)

Subjects/Keywords: stochastic; modeling; simulation; latency insertion method; circuit simulation; packaging; uncertainty quantification; stochastic galerkin method; stochastic collocation; monte carlo

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APA (6^th Edition):

Chen, X. (2018). Techniques for stochastic simulation of complex electromagnetic and circuit systems with uncertainties. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/101666

Chicago Manual of Style (16^th Edition):

Chen, Xu. “Techniques for stochastic simulation of complex electromagnetic and circuit systems with uncertainties.” 2018. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed March 07, 2021. http://hdl.handle.net/2142/101666.

MLA Handbook (7^th Edition):

Chen, Xu. “Techniques for stochastic simulation of complex electromagnetic and circuit systems with uncertainties.” 2018. Web. 07 Mar 2021.

Vancouver:

Chen X. Techniques for stochastic simulation of complex electromagnetic and circuit systems with uncertainties. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2018. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2142/101666.

Council of Science Editors:

Chen X. Techniques for stochastic simulation of complex electromagnetic and circuit systems with uncertainties. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/101666

University of Arizona

17. Zhou, Zhihong. Multistage Stochastic Decomposition and its Applications .

Degree: 2012, University of Arizona

URL: http://hdl.handle.net/10150/222892

► In this dissertation, we focus on developing sampling-based algorithms for solving stochastic linear programs. The work covers both two stage and multistage versions of stochastic… (more)

▼ In this dissertation, we focus on developing sampling-based algorithms for solving stochastic linear programs. The work covers both two stage and multistage versions of stochastic linear programs. In particular, we first study the two stage stochastic decomposition (SD) algorithm and present some extensions associated with SD. Specifically, we study two issues: a) are there conditions under which the regularized version of SD generates a unique solution? and b) in cases where a user is willing to sacrifice optimality, is there a way to modify the SD algorithm so that a user can trade-off solution times with solution quality? Moreover, we present our preliminary approach to address these questions. Secondly, we investigate the multistage stochastic linear programs and propose a new approach to solving multistage stochastic decision models in the presence of constraints. The motivation for proposing the multistage stochastic decomposition algorithm is to handle large scale multistage stochastic linear programs. In our setting, the deterministic equivalent problems of the multistage stochastic linear program are too large to be solved exactly. Therefore, we seek an asymptotically optimum solution by simulating the SD algorithmic process, which was originally designed for two-stage stochastic linear programs (SLPs). More importantly, when SD is implemented in a time-staged manner, the algorithm begins to take the flavor of a simulation leading to what we refer to as optimization simulation. As for multistage stochastic decomposition, there are a couple of advantages that deserve mention. One of the benefits is that it can work directly with sample paths, and this feature makes the new algorithm much easier to be integrated within a simulation. Moreover, compared with other sampling-based algorithms for multistage stochastic programming, we also overcome certain limitations, such as a stage-wise independence assumption. Advisors/Committee Members: Sen, Suvrajeet (advisor), Bayraksan, Guzin (advisor), Son, Young Jun (committeemember), Lin, Wei Hua (committeemember), Sen, Suvrajeet (committeemember), Bayraksan, Guzin (committeemember).

Subjects/Keywords: Optimization Simulation; Stage-wise Independence; Stochastic Decomposition; Stochastic Dual Dynamic Programming; Systems & Industrial Engineering; Multistage Stochastic Decomposition; Multistage Stochastic Program

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APA (6^th Edition):

Zhou, Z. (2012). Multistage Stochastic Decomposition and its Applications . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/222892

Chicago Manual of Style (16^th Edition):

Zhou, Zhihong. “Multistage Stochastic Decomposition and its Applications .” 2012. Doctoral Dissertation, University of Arizona. Accessed March 07, 2021. http://hdl.handle.net/10150/222892.

MLA Handbook (7^th Edition):

Zhou, Zhihong. “Multistage Stochastic Decomposition and its Applications .” 2012. Web. 07 Mar 2021.

Vancouver:

Zhou Z. Multistage Stochastic Decomposition and its Applications . [Internet] [Doctoral dissertation]. University of Arizona; 2012. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10150/222892.

Council of Science Editors:

Zhou Z. Multistage Stochastic Decomposition and its Applications . [Doctoral Dissertation]. University of Arizona; 2012. Available from: http://hdl.handle.net/10150/222892

Cranfield University

18. Mesogitis, Tassos. Stochastic simulation of the cure of advanced composites.

Degree: PhD, 2015, Cranfield University

URL: http://dspace.lib.cranfield.ac.uk/handle/1826/9216

► This study focuses on the development of a stochastic simulation methodology to study the effects of cure kinetics uncertainty, in plane fibre misalignment and boundary… (more)

▼ This study focuses on the development of a stochastic simulation methodology to study the effects of cure kinetics uncertainty, in plane fibre misalignment and boundary conditions uncertainty on the cure process of composite materials. Differential Scanning Calorimetry was used to characterise cure kinetics variability of a commercial epoxy resin used in aerospace applications. It was found that cure kinetics uncertainty is associated with variations in the initial degree of cure, activation energy and reaction order. Image analysis was employed to characterise in plane fibre misalignment in a carbon fibre ±45º non-crimp fabric. The experimental results showed that variability in tow orientation was significant with a standard deviation of about 1.2º. A set of experiments using an infusion set-up was carried out to quantify boundary conditions uncertainty related to tool temperature, ambient temperature and surface heat transfer coefficient using thermocouples (tool/ambient temperature) and heat flux sensors (surface heat transfer coefficient). It was concluded that boundary conditions uncertainty can show considerable short term and long term variability. Conventional Monte Carlo and Probabilistic Collocation Method were integrated with a thermo-mechanical cure simulation model in order to investigate the effect of cure kinetics, fibre misalignment and boundary conditions variability on process outcome. The cure model was developed and implemented using a finite element model incorporating appropriate material sub-models of cure kinetics, specific heat capacity, thermal conductivity, moduli, thermal expansion and cure shrinkage. The effect of cure kinetics uncertainty on the temperature overshoot of a thick carbon fibre epoxy flat panel was investigated using the two stochastic simulation schemes. The stochastic simulation results showed that variability in cure kinetics can introduce a significant scatter in temperature overshoot, presenting a coefficient of variation of about 30%. Furthermore, it was shown that the collocation method can offer an efficient solution with significantly lower computational cost compared to Monte Carlo at comparable accuracy. Stochastic simulation of the cure of an angle shaped carbon fibre-epoxy component within the Monte Carlo scheme showed that fibre misalignment can cause considerable variability in the process outcome. The coefficient of variation of maximum residual stress can reach up to approximately 2% (standard deviation of 1 MPa) whilst qualitative and quantitative variations in final distortion of the cured part occur with the standard deviation in twist and corner angle reaching values of 0.4 º and 0.05º respectively. Simulation of the cure of a thin carbon fibre-epoxy panel within the Monte Carlo scheme indicated that surface heat transfer and tool temperature variability dominate variability in cure time, resulting in a coefficient of variation of about 22%. In addition to Monte Carlo, the effect of surface heat transfer coefficient…

Subjects/Keywords: Stochastic Simulation; Cure simulation; Uncertainty; Monte Carlo; Probabilistic Collocation Method; Statistics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Mesogitis, T. (2015). Stochastic simulation of the cure of advanced composites. (Doctoral Dissertation). Cranfield University. Retrieved from http://dspace.lib.cranfield.ac.uk/handle/1826/9216

Chicago Manual of Style (16^th Edition):

Mesogitis, Tassos. “Stochastic simulation of the cure of advanced composites.” 2015. Doctoral Dissertation, Cranfield University. Accessed March 07, 2021. http://dspace.lib.cranfield.ac.uk/handle/1826/9216.

MLA Handbook (7^th Edition):

Mesogitis, Tassos. “Stochastic simulation of the cure of advanced composites.” 2015. Web. 07 Mar 2021.

Vancouver:

Mesogitis T. Stochastic simulation of the cure of advanced composites. [Internet] [Doctoral dissertation]. Cranfield University; 2015. [cited 2021 Mar 07]. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/9216.

Council of Science Editors:

Mesogitis T. Stochastic simulation of the cure of advanced composites. [Doctoral Dissertation]. Cranfield University; 2015. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/9216

19. Aupetit, Benjamin. Calcul d'indicateurs de sûreté de fonctionnement de modèles AltaRica 3.0 par simulation stochastique : Assessment of reliability indicators of AltaRica 3.0 models by stochastic simulation.

Degree: Docteur es, Informatique, 2020, université Paris-Saclay

URL: http://www.theses.fr/2020UPASC004

►

Dans un contexte de conception d'un système critique complexe, les études de sûreté de fonctionnement permettent de faire des choix de solutions techniques.Le langage de… (more)

▼

Dans un contexte de conception d'un système critique complexe, les études de sûreté de fonctionnement permettent de faire des choix de solutions techniques.Le langage de modélisation choisi doit avoir un pouvoir d'expression suffisant pour représenter les différents comportements envisagés : dans ces travaux, AltaRica 3.0 est utilisé.Mais le calcul d'indicateurs de sûreté de fonctionnement sur des modèles complexes est alors difficile : une solution est l'utilisation de la simulation stochastique pour les estimer.Il est alors nécessaire pour l'analyste de décrire quels sont les indicateurs qu'il souhaite estimer, et quelles sont leurs relations avec le modèle : un ensemble de mesures, couvrant les besoins classiques en sûreté de fonctionnement, est proposé.La qualité des estimations est liée au nombre de mesures, et donc à la performance de l'outil logiciel de simulateur stochastique : des améliorations de la simulation stochastique de modèles AltaRica 3.0 ont été implémentées dans l'outil de la plateforme OpenAltaRica.L'utilisation d'outils de calcul logiciel dans un contexte de certification doit faire l'objet d'une évaluation sur leur qualité : une méthodologie d'évaluation de simulateurs stochastiques de sûreté de fonctionnement, non limitée à AltaRica 3.0, est présentée.Enfin, une étude de cas d'un système mécatronique complexe permet de présenter les possibilités de la simulation stochastique et du langage AltaRica 3.0 pour une étude de sûreté de fonctionnement de cette classe de systèmes.

Safety assessment of a critical and complex system allows choices of technical solutions.The chosen modelling language for those assessments must have sufficient power of expression to represent the different behaviours envisaged: AltaRica 3.0 is here used.But computation of dependability indicators on complex models is then difficult: stochastic simulation is a solution, but only allow to estimate values.It is then necessary for the analyst to describe which indicators he wishes to estimate, and what their relations with the model are: a set of measures, covering the conventional needs in dependability, is proposed.The estimation quality is related to the number of measurements, and therefore to the performances of the stochastic simulator software tool: improvements of stochastic simulation of AltaRica 3.0 models have been implemented in the tool of the OpenAltaRica platform.The use of software computation tools in a certification context must be evaluated on their quality: a stochastic simulator reliability evaluation methodology, not limited to AltaRica 3.0, is presented.Finally, a case study of a complex mechatronic system presents the possibilities of stochastic simulation and AltaRica 3.0 for a safety study of this class of systems.

Advisors/Committee Members: Rauzy, Antoine (thesis director), Roussel, Jean-Marc (thesis director).

Subjects/Keywords: AltaRica; MBSA; Simulation stochastique; AltaRica; MBSA; Stochastic simulation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Aupetit, B. (2020). Calcul d'indicateurs de sûreté de fonctionnement de modèles AltaRica 3.0 par simulation stochastique : Assessment of reliability indicators of AltaRica 3.0 models by stochastic simulation. (Doctoral Dissertation). université Paris-Saclay. Retrieved from http://www.theses.fr/2020UPASC004

Chicago Manual of Style (16^th Edition):

Aupetit, Benjamin. “Calcul d'indicateurs de sûreté de fonctionnement de modèles AltaRica 3.0 par simulation stochastique : Assessment of reliability indicators of AltaRica 3.0 models by stochastic simulation.” 2020. Doctoral Dissertation, université Paris-Saclay. Accessed March 07, 2021. http://www.theses.fr/2020UPASC004.

MLA Handbook (7^th Edition):

Aupetit, Benjamin. “Calcul d'indicateurs de sûreté de fonctionnement de modèles AltaRica 3.0 par simulation stochastique : Assessment of reliability indicators of AltaRica 3.0 models by stochastic simulation.” 2020. Web. 07 Mar 2021.

Vancouver:

Aupetit B. Calcul d'indicateurs de sûreté de fonctionnement de modèles AltaRica 3.0 par simulation stochastique : Assessment of reliability indicators of AltaRica 3.0 models by stochastic simulation. [Internet] [Doctoral dissertation]. université Paris-Saclay; 2020. [cited 2021 Mar 07]. Available from: http://www.theses.fr/2020UPASC004.

Council of Science Editors:

Aupetit B. Calcul d'indicateurs de sûreté de fonctionnement de modèles AltaRica 3.0 par simulation stochastique : Assessment of reliability indicators of AltaRica 3.0 models by stochastic simulation. [Doctoral Dissertation]. université Paris-Saclay; 2020. Available from: http://www.theses.fr/2020UPASC004

20. Nussle, Thomas. Theoretical and computational studies of the thermomechanics of magnetic materials : Thermo-mécanique dynamique à grande échelle des matériaux magnétiques.

Degree: Docteur es, Physique, 2019, Université François-Rabelais de Tours

URL: http://www.theses.fr/2019TOUR4007

►

Le magnétisme est l'un des plus anciens phénomènes rapportés de l'histoire des sciences naturelles et probablement l'un des plus fascinants. Véritable manifestation macroscopique de la… (more)

▼

Le magnétisme est l'un des plus anciens phénomènes rapportés de l'histoire des sciences naturelles et probablement l'un des plus fascinants. Véritable manifestation macroscopique de la physique quantique, il subit en s'y couplant, l'influence de nombreux réservoirs énergétiques et statistiques, dont ceux de la thermique et de la mécanique.En remarquant qu'un moment magnétique élémentaire est un objet composite formé grâce à des variables anticommutantes inobservables, on peut engendrer une dynamique Hamiltonienne couplant ce degré de liberté à ceux provenant des autres réservoirs, eux-mêmes décrits par la dynamique de variables aléatoires.La première étape est d'étudier la dynamique d'un moment magnétique, vu comme un spin classique dans de tels bains. A cette fin on considère un bain magnétique afin d'évaluer la possibilité de mimer les effets de couplage entre moments magnétique ainsi que le couplage magnétoélastique par un tel modèle effectif.Par la suite, nous montrons que la précession d'un spin classique peut être modélisée par une dynamique de Nambu qui facilite la description de la nature, additive ou multiplicative, des couplages stochastiques. La dynamique ainsi produite est d'abord étudiée numériquement de façon stochastique en moyennant les différentes réalisations obtenues; ensuite un modèle déterministe sur la hiérarchie des moments statistiques est établi puis fermé afin de développer une méthode à la fois plus rapide mais également déterministe de déduction des propriétés magnétiques.Finalement, pour illustrer la pertinence tangible de toutes ces notions, nous construisons une dynamique étendue de particules ``fictives'' portant à la fois un moment magnétique et une déformation mécanique locaux exprimant la magnétoélasticité, d'une part dans une approche Lagrangienne puis Hamiltonienne. Pour chacune des deux approches nous étudierons la dynamique du retournement ultra-rapide d'aimantation pour NiO, oxyde antiferromagnétique prototype, sous sollicitations mécanique et électrique.Le formalisme, exposé ici, aussi bien conceptuel qu’informatique, ne sert pas, seulement, comme un exemple de l’état de l’art, mais permet une description des propriétés des milieux magnétiques, qui est fondamentale aussi bien pour la conception de nouveaux matériaux, que comme modèle pour aborder d’autres questions portant sur l’interaction entre bruit et variables dynamiques, plus généralement.

One of the utmost interesting properties of matter is magnetism. This property, which is a macroscopic consequence of quantum physics, is subjected and couples to several reservoirs. Among them, two are most relevant, namely the thermal and mechanical reservoirs. We build a Hamiltonian model for the coupling between – classical – magnetism and elasticity, which relies on the – underlying – anticommuting nature of spin, so as to describe the coupled dynamics of these degrees of freedom.The first step is to study the behavior of the classical spin – or magnetic moment – when coupled to different – stochastic – baths. First a…

Advisors/Committee Members: Nicolis, Stamatios (thesis director).

Subjects/Keywords: Magnétoélasticité; Simulation; Stochastique; Spin; Magnétostriction; Magnetoelasticity; Magnetostriction; Simulation; Spin; Stochastic

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Nussle, T. (2019). Theoretical and computational studies of the thermomechanics of magnetic materials : Thermo-mécanique dynamique à grande échelle des matériaux magnétiques. (Doctoral Dissertation). Université François-Rabelais de Tours. Retrieved from http://www.theses.fr/2019TOUR4007

Chicago Manual of Style (16^th Edition):

Nussle, Thomas. “Theoretical and computational studies of the thermomechanics of magnetic materials : Thermo-mécanique dynamique à grande échelle des matériaux magnétiques.” 2019. Doctoral Dissertation, Université François-Rabelais de Tours. Accessed March 07, 2021. http://www.theses.fr/2019TOUR4007.

MLA Handbook (7^th Edition):

Nussle, Thomas. “Theoretical and computational studies of the thermomechanics of magnetic materials : Thermo-mécanique dynamique à grande échelle des matériaux magnétiques.” 2019. Web. 07 Mar 2021.

Vancouver:

Nussle T. Theoretical and computational studies of the thermomechanics of magnetic materials : Thermo-mécanique dynamique à grande échelle des matériaux magnétiques. [Internet] [Doctoral dissertation]. Université François-Rabelais de Tours; 2019. [cited 2021 Mar 07]. Available from: http://www.theses.fr/2019TOUR4007.

Council of Science Editors:

Nussle T. Theoretical and computational studies of the thermomechanics of magnetic materials : Thermo-mécanique dynamique à grande échelle des matériaux magnétiques. [Doctoral Dissertation]. Université François-Rabelais de Tours; 2019. Available from: http://www.theses.fr/2019TOUR4007

Delft University of Technology

21. Corstanje, Marc (author). Likelihood-based Inference on Nonlinear spaces: Using Diffusion Processes on Riemannian Manifolds.

Degree: 2019, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:7a7fad85-d29d-414e-a254-7b864c4e5042

►

When data in higher dimensions with a certain constraint on it, say a set of locations on a sphere, is encountered, some classical statistical analysis… (more)

Subjects/Keywords: Diffusion Process; Riemannian manifold; Diffusion Bridge; Stochastic Differential Equations; Stochastic Simulation; Geometric Statistics

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APA (6^th Edition):

Corstanje, M. (. (2019). Likelihood-based Inference on Nonlinear spaces: Using Diffusion Processes on Riemannian Manifolds. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:7a7fad85-d29d-414e-a254-7b864c4e5042

Chicago Manual of Style (16^th Edition):

Corstanje, Marc (author). “Likelihood-based Inference on Nonlinear spaces: Using Diffusion Processes on Riemannian Manifolds.” 2019. Masters Thesis, Delft University of Technology. Accessed March 07, 2021. http://resolver.tudelft.nl/uuid:7a7fad85-d29d-414e-a254-7b864c4e5042.

MLA Handbook (7^th Edition):

Corstanje, Marc (author). “Likelihood-based Inference on Nonlinear spaces: Using Diffusion Processes on Riemannian Manifolds.” 2019. Web. 07 Mar 2021.

Vancouver:

Corstanje M(. Likelihood-based Inference on Nonlinear spaces: Using Diffusion Processes on Riemannian Manifolds. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://resolver.tudelft.nl/uuid:7a7fad85-d29d-414e-a254-7b864c4e5042.

Council of Science Editors:

Corstanje M(. Likelihood-based Inference on Nonlinear spaces: Using Diffusion Processes on Riemannian Manifolds. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:7a7fad85-d29d-414e-a254-7b864c4e5042

University of Illinois – Urbana-Champaign

22. Michelotti, Matthew. Binning for efficient stochastic particle simulations.

Degree: MS, 0112, 2013, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/42127

► Gillespie's Stochastic Simulation Algorithm (SSA) is an exact procedure for simulating the evolution of a collection of discrete, interacting entities, such as coalescing aerosol particles… (more)

Subjects/Keywords: stochastic; Markov process; coalescence; atmospheric aerosol; stochastic simulation algorithm; tau leaping; particle resolved

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APA (6^th Edition):

Michelotti, M. (2013). Binning for efficient stochastic particle simulations. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/42127

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Michelotti, Matthew. “Binning for efficient stochastic particle simulations.” 2013. Thesis, University of Illinois – Urbana-Champaign. Accessed March 07, 2021. http://hdl.handle.net/2142/42127.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Michelotti, Matthew. “Binning for efficient stochastic particle simulations.” 2013. Web. 07 Mar 2021.

Vancouver:

Michelotti M. Binning for efficient stochastic particle simulations. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2013. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2142/42127.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Michelotti M. Binning for efficient stochastic particle simulations. [Thesis]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/42127

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Southern California

23. Wu, Teng. A stochastic employment problem.

Degree: PhD, Industrial and Systems Engineering, 2013, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/245624/rec/370

► This dissertation studied a Stochastic Assignment Problem, called “A Stochastic Employment Problem(SEP)”. There are n boxes having quota S =(S₁...Sn), that is box i needs… (more)

Subjects/Keywords: stochastic; assignment problem; sequential decision process; dynamic programming; simulation; optimization; applied probability modeling; stochastic dominance

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Wu, T. (2013). A stochastic employment problem. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/245624/rec/370

Chicago Manual of Style (16^th Edition):

Wu, Teng. “A stochastic employment problem.” 2013. Doctoral Dissertation, University of Southern California. Accessed March 07, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/245624/rec/370.

MLA Handbook (7^th Edition):

Wu, Teng. “A stochastic employment problem.” 2013. Web. 07 Mar 2021.

Vancouver:

Wu T. A stochastic employment problem. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2021 Mar 07]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/245624/rec/370.

Council of Science Editors:

Wu T. A stochastic employment problem. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/245624/rec/370

University of Lethbridge

24. University of Lethbridge. Faculty of Arts and Science. Delayed stochastic modelling of prokaryotic transcription with abortive initiation .

Degree: 2017, University of Lethbridge

URL: http://hdl.handle.net/10133/4806

► A quantitative model for gene transcription should treat two main features: stochastic fluctuations due to low copy numbers, and time delays resulting from the lengthy… (more)

Subjects/Keywords: abortive initiation; delay stochastic simulation model; prokaryotic transcription; rise time; RNA polymerase arrest; stochastic simulations

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APA (6^th Edition):

Science, U. o. L. F. o. A. a. (2017). Delayed stochastic modelling of prokaryotic transcription with abortive initiation . (Thesis). University of Lethbridge. Retrieved from http://hdl.handle.net/10133/4806

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Science, University of Lethbridge. Faculty of Arts and. “Delayed stochastic modelling of prokaryotic transcription with abortive initiation .” 2017. Thesis, University of Lethbridge. Accessed March 07, 2021. http://hdl.handle.net/10133/4806.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Science, University of Lethbridge. Faculty of Arts and. “Delayed stochastic modelling of prokaryotic transcription with abortive initiation .” 2017. Web. 07 Mar 2021.

Vancouver:

Science UoLFoAa. Delayed stochastic modelling of prokaryotic transcription with abortive initiation . [Internet] [Thesis]. University of Lethbridge; 2017. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10133/4806.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Science UoLFoAa. Delayed stochastic modelling of prokaryotic transcription with abortive initiation . [Thesis]. University of Lethbridge; 2017. Available from: http://hdl.handle.net/10133/4806

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Virginia Tech

25. Ahn, Tae-Hyuk. Computational Techniques for the Analysis of Large Scale Biological Systems.

Degree: PhD, Computer Science, 2016, Virginia Tech

URL: http://hdl.handle.net/10919/77162

► An accelerated pace of discovery in biological sciences is made possible by a new generation of computational biology and bioinformatics tools. In this dissertation we… (more)

▼ An accelerated pace of discovery in biological sciences is made possible by a new generation of computational biology and bioinformatics tools. In this dissertation we develop novel computational, analytical, and high performance simulation techniques for biological problems, with applications to the yeast cell division cycle, and to the RNA-Sequencing of the yellow fever mosquito. Cell cycle system evolves stochastic effects when there are a small number of molecules react each other. Consequently, the stochastic effects of the cell cycle are important, and the evolution of cells is best described statistically. Stochastic simulation algorithm (SSA), the standard stochastic method for chemical kinetics, is often slow because it accounts for every individual reaction event. This work develops a stochastic version of a deterministic cell cycle model, in order to capture the stochastic aspects of the evolution of the budding yeast wild-type and mutant strain cells. In order to efficiently run large ensembles to compute statistics of cell evolution, the dissertation investigates parallel simulation strategies, and presents a new probabilistic framework to analyze the performance of dynamic load balancing algorithms. This work also proposes new accelerated stochastic simulation algorithms based on a fully implicit approach and on stochastic Taylor expansions. Next Generation RNA-Sequencing, a high-throughput technology to sequence cDNA in order to get information about a sample's RNA content, is becoming an efficient genomic approach to uncover new genes and to study gene expression and alternative splicing. This dissertation develops efficient algorithms and strategies to find new genes in Aedes aegypti, which is the most important vector of dengue fever and yellow fever. We report the discovery of a large number of new gene transcripts, and the identification and characterization of genes that showed male-biased expression profiles. This basic information may open important avenues to control mosquito borne infectious diseases. Advisors/Committee Members: Sandu, Adrian (committeechair), Zhang, Liqing (committee member), Tu, Zhijian Jake (committee member), Baumann, William T. (committee member), Shaffer, Clifford A. (committee member).

Subjects/Keywords: Stochastic simulation algorithm (SSA); Parallel load balancing; Cell cycle; RNA-Sequencing; Stochastic differential equations (SDEs)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ahn, T. (2016). Computational Techniques for the Analysis of Large Scale Biological Systems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77162

Chicago Manual of Style (16^th Edition):

Ahn, Tae-Hyuk. “Computational Techniques for the Analysis of Large Scale Biological Systems.” 2016. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/77162.

MLA Handbook (7^th Edition):

Ahn, Tae-Hyuk. “Computational Techniques for the Analysis of Large Scale Biological Systems.” 2016. Web. 07 Mar 2021.

Vancouver:

Ahn T. Computational Techniques for the Analysis of Large Scale Biological Systems. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/77162.

Council of Science Editors:

Ahn T. Computational Techniques for the Analysis of Large Scale Biological Systems. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/77162

University of Miami

26. Xu, Zhouyi. Stochastic Modeling and Simulation of Gene Networks.

Degree: PhD, Electrical and Computer Engineering (Engineering), 2010, University of Miami

URL: https://scholarlyrepository.miami.edu/oa_dissertations/645

► Recent research in experimental and computational biology has revealed the necessity of using stochastic modeling and simulation to investigate the functionality and dynamics of… (more)

▼ Recent research in experimental and computational biology has revealed the necessity of using stochastic modeling and simulation to investigate the functionality and dynamics of gene networks. However, there is no sophisticated stochastic modeling techniques and efficient stochastic simulation algorithms (SSA) for analyzing and simulating gene networks. Therefore, the objective of this research is to design highly efficient and accurate SSAs, to develop stochastic models for certain real gene networks and to apply stochastic simulation to investigate such gene networks. To achieve this objective, we developed several novel efficient and accurate SSAs. We also proposed two stochastic models for the circadian system of Drosophila and simulated the dynamics of the system. The K-leap method constrains the total number of reactions in one leap to a properly chosen number thereby improving simulation accuracy. Since the exact SSA is a special case of the K-leap method when K=1, the K-leap method can naturally change from the exact SSA to an approximate leap method during simulation if necessary. The hybrid tau/K-leap and the modified K-leap methods are particularly suitable for simulating gene networks where certain reactant molecular species have a small number of molecules. Although the existing tau-leap methods can significantly speed up stochastic simulation of certain gene networks, the mean of the number of firings of each reaction channel is not equal to the true mean. Therefore, all existing tau-leap methods produce biased results, which limit simulation accuracy and speed. Our unbiased tau-leap methods remove the bias in simulation results that exist in all current leap SSAs and therefore significantly improve simulation accuracy without sacrificing speed. In order to efficiently estimate the probability of rare events in gene networks, we applied the importance sampling technique to the next reaction method (NRM) of the SSA and developed a weighted NRM (wNRM). We further developed a systematic method for selecting the values of importance sampling parameters. Applying our parameter selection method to the wSSA and the wNRM, we get an improved wSSA (iwSSA) and an improved wNRM (iwNRM), which can provide substantial improvement over the wSSA in terms of simulation efficiency and accuracy. We also develop a detailed and a reduced stochastic model for circadian rhythm in Drosophila and employ our SSA to simulate circadian oscillations. Our simulations showed that both models could produce sustained oscillations and that the oscillation is robust to noise in the sense that there is very little variability in oscillation period although there are significant random fluctuations in oscillation peeks. Moreover, although average time delays are essential to simulation of oscillation, random changes in time delays within certain range around fixed average time delay cause little variability in the oscillation period. Our simulation results also showed that both models are robust to parameter variations and that… Advisors/Committee Members: Xiaodong Cai, James W. Modestino, Akmal Younis, Dimitris Papamichail, Kamal Premaratne.

Subjects/Keywords: Circadian Rhythm; Importance Sampling; Weighted Stochastic Simulation Algorithm; Unbiased Tau-leap Method; K-leap Method; Stochastic Simulation Algorithm

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APA (6^th Edition):

Xu, Z. (2010). Stochastic Modeling and Simulation of Gene Networks. (Doctoral Dissertation). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_dissertations/645

Chicago Manual of Style (16^th Edition):

Xu, Zhouyi. “Stochastic Modeling and Simulation of Gene Networks.” 2010. Doctoral Dissertation, University of Miami. Accessed March 07, 2021. https://scholarlyrepository.miami.edu/oa_dissertations/645.

MLA Handbook (7^th Edition):

Xu, Zhouyi. “Stochastic Modeling and Simulation of Gene Networks.” 2010. Web. 07 Mar 2021.

Vancouver:

Xu Z. Stochastic Modeling and Simulation of Gene Networks. [Internet] [Doctoral dissertation]. University of Miami; 2010. [cited 2021 Mar 07]. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/645.

Council of Science Editors:

Xu Z. Stochastic Modeling and Simulation of Gene Networks. [Doctoral Dissertation]. University of Miami; 2010. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/645

27. Zhao, Xudong. Simulation mésoscopique pour le transport d'électrolytes asymétriques en taille et en charge : Mesoscopic simulation of transport of asymmetric electrolyte in solution.

Degree: Docteur es, Chimie physique et Chimie Analytique, 2016, Université Pierre et Marie Curie – Paris VI

URL: http://www.theses.fr/2016PA066420

►

L'objectif de cette thèse est d'étendre le champ d'application d'une méthode de simulation mésoscopique, appelée " Stochastic Rotation Dynamics " (SRD), au cas des électrolytes… (more)

Subjects/Keywords: Simulation mésoscopique; Nanoparticule chargée; Diffusion; Interaction hydrodynamique; Electrolytes asymétriques; Stochastic rotation dynamics; Mesoscopic simulation; Stochastic rotation dynamics; Charged nanoparticles; 541.3

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zhao, X. (2016). Simulation mésoscopique pour le transport d'électrolytes asymétriques en taille et en charge : Mesoscopic simulation of transport of asymmetric electrolyte in solution. (Doctoral Dissertation). Université Pierre et Marie Curie – Paris VI. Retrieved from http://www.theses.fr/2016PA066420

Chicago Manual of Style (16^th Edition):

Zhao, Xudong. “Simulation mésoscopique pour le transport d'électrolytes asymétriques en taille et en charge : Mesoscopic simulation of transport of asymmetric electrolyte in solution.” 2016. Doctoral Dissertation, Université Pierre et Marie Curie – Paris VI. Accessed March 07, 2021. http://www.theses.fr/2016PA066420.

MLA Handbook (7^th Edition):

Zhao, Xudong. “Simulation mésoscopique pour le transport d'électrolytes asymétriques en taille et en charge : Mesoscopic simulation of transport of asymmetric electrolyte in solution.” 2016. Web. 07 Mar 2021.

Vancouver:

Zhao X. Simulation mésoscopique pour le transport d'électrolytes asymétriques en taille et en charge : Mesoscopic simulation of transport of asymmetric electrolyte in solution. [Internet] [Doctoral dissertation]. Université Pierre et Marie Curie – Paris VI; 2016. [cited 2021 Mar 07]. Available from: http://www.theses.fr/2016PA066420.

Council of Science Editors:

Zhao X. Simulation mésoscopique pour le transport d'électrolytes asymétriques en taille et en charge : Mesoscopic simulation of transport of asymmetric electrolyte in solution. [Doctoral Dissertation]. Université Pierre et Marie Curie – Paris VI; 2016. Available from: http://www.theses.fr/2016PA066420

University of Maryland

28. Chau, Marie. Stochastic Simulation: New Stochastic Approximation Methods and Sensitivity Analyses.

Degree: Applied Mathematics and Scientific Computation, 2015, University of Maryland

URL: http://hdl.handle.net/1903/16707

► In this dissertation, we propose two new types of stochastic approximation (SA) methods and study the sensitivity of SA and of a stochastic gradient method… (more)

▼ In this dissertation, we propose two new types of stochastic approximation (SA) methods and study the sensitivity of SA and of a stochastic gradient method to various input parameters. First, we summarize the most common stochastic gradient estimation techniques, both direct and indirect, as well as the two classical SA algorithms, Robbins-Monro (RM) and Kiefer-Wolfowitz (KW), followed by some well-known modifications to the step size, output, gradient, and projection operator. Second, we introduce two new stochastic gradient methods in SA for univariate and multivariate stochastic optimization problems. Under a setting where both direct and indirect gradients are available, our new SA algorithms estimate the gradient using a hybrid estimator, which is a convex combination of a symmetric finite difference-type gradient estimate and an average of two associated direct gradient estimates. We derive variance minimizing weights that lead to desirable theoretical properties and prove convergence of the SA algorithms. Next, we study the finite-time performance of the KW algorithm and its sensitivity to the step size parameter, along with two of its adaptive variants, namely Kesten's rule and scale-and-shifted KW (SSKW). We conduct a sensitivity analysis of KW and explore the tightness of an mean-squared error (MSE) bound for quadratic functions, a relevant issue for determining how long to run an SA algorithm. Then, we propose two new adaptive step size sequences inspired by both Kesten's rule and SSKW, which address some of their weaknesses. Instead of us- ing one step size sequence, our adaptive step size is based on two deterministic sequences, and the step size used in the current iteration depends on the perceived proximity of the current iterate to the optimum. In addition, we introduce a method to adaptively adjust the two deterministic sequences. Lastly, we investigate the performance of a modified pathwise gradient estimation method that is applied to financial options with discontinuous payoffs, and in particular, used to estimate the Greeks, which measure the rate of change of (financial) derivative prices with respect to underlying market parameters and are central to financial risk management. The newly proposed kernel estimator relies on a smoothing bandwidth parameter. We explore the accuracy of the Greeks with varying bandwidths and investigate the sensitivity of a proposed iterative scheme that generates an estimate of the optimal bandwidth. Advisors/Committee Members: Fu, Michael C. (advisor).

Subjects/Keywords: Operations research; Applied mathematics; Monte Carlo Simulation; Sensitivity Analysis; Simulation Optimization; Stochastic Approximation; Stochastic Gradient Estimation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Chau, M. (2015). Stochastic Simulation: New Stochastic Approximation Methods and Sensitivity Analyses. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/16707

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Chau, Marie. “Stochastic Simulation: New Stochastic Approximation Methods and Sensitivity Analyses.” 2015. Thesis, University of Maryland. Accessed March 07, 2021. http://hdl.handle.net/1903/16707.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Chau, Marie. “Stochastic Simulation: New Stochastic Approximation Methods and Sensitivity Analyses.” 2015. Web. 07 Mar 2021.

Vancouver:

Chau M. Stochastic Simulation: New Stochastic Approximation Methods and Sensitivity Analyses. [Internet] [Thesis]. University of Maryland; 2015. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1903/16707.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chau M. Stochastic Simulation: New Stochastic Approximation Methods and Sensitivity Analyses. [Thesis]. University of Maryland; 2015. Available from: http://hdl.handle.net/1903/16707

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

29. Chen, Sheng. Stochastic simulation of near-surface atmospheric forcings for distributed hydrology : Simulation stochastique des forçages atmosphériques utiles aux modèles hydrologiques spatialisés.

Degree: Docteur es, Sciences de la Terre et de l'Univers et de l'Environnement, 2018, Université Grenoble Alpes (ComUE)

URL: http://www.theses.fr/2018GREAU005

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Ce travail de thèse propose de nouveaux concepts et outils pour des activités de simulation stochastique du temps ciblant les besoins spécifiques de l'hydrologie. Nous… (more)

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Ce travail de thèse propose de nouveaux concepts et outils pour des activités de simulation stochastique du temps ciblant les besoins spécifiques de l'hydrologie. Nous avons utilisé une zone climatique contrastée dans le sud-est de la France, les Cévennes-Vivarais, qui est très attractive pour les aléas hydrologiques et les changements climatiques.Notre point de vue est que les caractéristiques physiques (humidité du sol, débit) liées aux préoccupations quotidiennes sont directement liées à la variabilité atmosphérique à l'échelle des bassins. Pour la modélisation de multi-variable, la covariabilité avec les précipitations est d'abord considérée.La première étape du thèse est dédiée à la prise en compte de l'hétérogénéité de la précipitation au sein du simulateur de pluie SAMPO [Leblois et Creutin, 2013]. Nous regroupons les pas de temps dans les types de pluie qui sont organisés dans le temps. Deux approches sont testées pour la simulation: un modèle semi-markovienne et un modèle de ré-échantillonnage pour la séquence des types de pluie historiques. Grâce au regroupement, toutes sortes de précipitations sont desservies par un type de pluie spécifique. Dans une zone plus vaste, où l'hypothèse d'homogénéité climatique n'est plus valide, une coordination doit être introduite entre les séquences de types de pluie sur les sous-zones délimitées, en formant à plus grande échelle.Nous avons d'abord étudié une coordination de modèle de Markov, en appliquant des durées de séjour observées par un algorithme glouton. Cet approche respecte les accumulations de longue durée et la variabilité interannuelle, mais les valeurs extrêmes de précipitation sont trop faibles. En revanche, le ré-échantillonnage est plus facile à mettre en œuvre et donne un comportement satisfaisant pour la variabilité à court terme. Cependant, il manque une variabilité inter-annuelle. Les deux accès souffrent de la délimitation stricte des zones homogènes et des types de précipitations homogènes.Pour ces raisons, une approche complètement différente est également envisagée, où les pluies totales sont modélisées conjointement en utilisant la copule, puis désagrégés sur la petite échelle en utilisant une simulation conditionnelle géostatistique.Enfin, la technique de la copule est utilisée pour relier les autres variables météorologiques (température, rayonnement solaire, humidité, vitesse du vent) aux précipitations. Puisque la modélisation multivariée vise à être pilotée par la simulation des précipitations, la copule doit être exécutée en mode conditionnel. La boîte à outils réalisée a déjà été utilisée dans des explorations scientifiques, elle est maintenant disponible pour tester aux applications réelles. En tant qu'approche pilotée par les données, elle est également adaptable à d'autres conditions climatiques.

This PhD work proposes new concepts and tools for stochastic weather simulation activities targeting the specific needs of hydrology. We used, as a demonstration, a climatically contrasted area in the South-East of France, Cévennes-Vivarais,…

Advisors/Committee Members: Leblois, Etienne (thesis director), Anquetin, Sandrine (thesis director).

Subjects/Keywords: Simulation stochastique; Modélisation atmosphérique; Pluie spatialisée; Stochastic simulation; Atmospheric modeling; Spatial rainfall; 550

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Chen, S. (2018). Stochastic simulation of near-surface atmospheric forcings for distributed hydrology : Simulation stochastique des forçages atmosphériques utiles aux modèles hydrologiques spatialisés. (Doctoral Dissertation). Université Grenoble Alpes (ComUE). Retrieved from http://www.theses.fr/2018GREAU005

Chicago Manual of Style (16^th Edition):

Chen, Sheng. “Stochastic simulation of near-surface atmospheric forcings for distributed hydrology : Simulation stochastique des forçages atmosphériques utiles aux modèles hydrologiques spatialisés.” 2018. Doctoral Dissertation, Université Grenoble Alpes (ComUE). Accessed March 07, 2021. http://www.theses.fr/2018GREAU005.

MLA Handbook (7^th Edition):

Chen, Sheng. “Stochastic simulation of near-surface atmospheric forcings for distributed hydrology : Simulation stochastique des forçages atmosphériques utiles aux modèles hydrologiques spatialisés.” 2018. Web. 07 Mar 2021.

Vancouver:

Chen S. Stochastic simulation of near-surface atmospheric forcings for distributed hydrology : Simulation stochastique des forçages atmosphériques utiles aux modèles hydrologiques spatialisés. [Internet] [Doctoral dissertation]. Université Grenoble Alpes (ComUE); 2018. [cited 2021 Mar 07]. Available from: http://www.theses.fr/2018GREAU005.

Council of Science Editors:

Chen S. Stochastic simulation of near-surface atmospheric forcings for distributed hydrology : Simulation stochastique des forçages atmosphériques utiles aux modèles hydrologiques spatialisés. [Doctoral Dissertation]. Université Grenoble Alpes (ComUE); 2018. Available from: http://www.theses.fr/2018GREAU005

30. Henrion, Vincent. Approche pseudo-génétique pour la simulation stochastique de la géométrie 3D de réseaux fracturés et karstiques : Genetic-like approach for 3D stochastic modeling of fractrue and karst networks.

Degree: Docteur es, Géosciences, 2011, Lorraine INP

URL: http://www.theses.fr/2011INPL046N

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Les réseaux de fractures et les karsts constituent des discontinuités au sein de la roche qui affectent considérablement les écoulements de fluides, ce qui engendre… (more)

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Les réseaux de fractures et les karsts constituent des discontinuités au sein de la roche qui affectent considérablement les écoulements de fluides, ce qui engendre des problèmes spécifiques dans divers domaines des géosciences. La problématique générale consiste à déterminer les caractéristiques géométriques et hydrauliques des réseaux de fractures ou de karsts. La caractérisation et la modélisation de ces structures se heurtent cependant à leur complexité géométrique et à leur distribution spatiale hétérogène. De plus, les observations et données directes concernant aussi bien les fractures et karsts que leur encaissant rocheux restent largement insuffisantes pour décrire avec certitudes leurs caractéristiques. Pour ces raisons, la modélisation de réseaux de fractures ou de karsts est le plus souvent réalisée dans un cadre probabiliste. Des simulations stochastiques de type objet ou pixel sont généralement mise en œuvre pour générer des modèles 3D de fractures ou karsts. Cependant les mécanismes sur lesquels repose ce type d'approche ne permet pas de reproduire toutes la complexité de ces objets naturels et fournit des modèles manquant de réalisme géologique.Dans ces travaux de thèse, nous proposons d'aborder la problématique de la modélisation des fractures et des karsts suivant une approche pseudo-génétique. Il s'agit de contraindre le processus de simulation stochastique de fractures et karsts par des règles géométriques et heuristiques qui imitent les processus physiques gouvernant leur formation. Deux méthodes poursuivant cet objectif ont été développées, l'une adressant la simulation des fractures et la seconde celle des karsts. Les modèles ainsi générés exposent des caractéristiques similaires à celles des réseaux de fractures et karsts naturels.

Fractures and karstic networks are known to significantly affect flow paths and therefore raise specific issues in a wide variety of geoscience fields. The common question beyond these problems isto determine whether there is a network of fractures and/or karstic conduits and if yes what are itsgeometrical and hydraulic characteristics. Characterization and modeling of these features is a challenge for it usually displays complex geometries and heterogeneous spatial distribution. Moreover, in most cases, neither fracture and karst nor their host environment can be observed or described with certainty at all scales and location of relevance. For these reasons, fractures and karstic networks are usually integrated into 3D geological model through a probabilistic framework. Stochastic object- or pixel-based simulations are commonly performed to generate 3D models of fractures and karst but failed to reproduce the whole complexity of these natural objects and 3D models often lack geological realism.To address the issues related to fracture and karst modeling, we present two genetic-like approaches. The motivation of this work is to constrain the stochastic simulation of fractures and karsts by geometrical and heuristic rules which mimic the physical processes…

Advisors/Committee Members: Royer, Jean-Jacques (thesis director), Caumon, Guillaume (thesis director).

Subjects/Keywords: Fracture; Karsts; Géomodélisation; Simulation stochastique; Processus génétique; Fracture; Karst; Geomodeling; Stochastic simulation; Genetical process; 550

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Henrion, V. (2011). Approche pseudo-génétique pour la simulation stochastique de la géométrie 3D de réseaux fracturés et karstiques : Genetic-like approach for 3D stochastic modeling of fractrue and karst networks. (Doctoral Dissertation). Lorraine INP. Retrieved from http://www.theses.fr/2011INPL046N

Chicago Manual of Style (16^th Edition):

Henrion, Vincent. “Approche pseudo-génétique pour la simulation stochastique de la géométrie 3D de réseaux fracturés et karstiques : Genetic-like approach for 3D stochastic modeling of fractrue and karst networks.” 2011. Doctoral Dissertation, Lorraine INP. Accessed March 07, 2021. http://www.theses.fr/2011INPL046N.

MLA Handbook (7^th Edition):

Henrion, Vincent. “Approche pseudo-génétique pour la simulation stochastique de la géométrie 3D de réseaux fracturés et karstiques : Genetic-like approach for 3D stochastic modeling of fractrue and karst networks.” 2011. Web. 07 Mar 2021.

Vancouver:

Henrion V. Approche pseudo-génétique pour la simulation stochastique de la géométrie 3D de réseaux fracturés et karstiques : Genetic-like approach for 3D stochastic modeling of fractrue and karst networks. [Internet] [Doctoral dissertation]. Lorraine INP; 2011. [cited 2021 Mar 07]. Available from: http://www.theses.fr/2011INPL046N.

Council of Science Editors:

Henrion V. Approche pseudo-génétique pour la simulation stochastique de la géométrie 3D de réseaux fracturés et karstiques : Genetic-like approach for 3D stochastic modeling of fractrue and karst networks. [Doctoral Dissertation]. Lorraine INP; 2011. Available from: http://www.theses.fr/2011INPL046N

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