subject:(stochastic simulation)

University of Texas – Austin

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

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

► 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 January 19, 2020. 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. 19 Jan 2020.

Vancouver:

Moon JS. Approaches to stochastic simulation of waked wind fields in wind turbine arrays. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2020 Jan 19]. 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

2. 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 January 19, 2020. 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. 19 Jan 2020.

Vancouver:

Farley S. Top- K Algorithms for SimQL: A Decision Guidance Query Language Based on Stochastic Simulation . [Internet] [Thesis]. George Mason University; 2014. [cited 2020 Jan 19]. 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

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

Degree: 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 . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3996

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):

Ahmad, Saira. “A Genetic Algorithm Approach to Exploring Simulation Parameters .” 2012. Thesis, University of Guelph. Accessed January 19, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3996.

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

MLA Handbook (7^th Edition):

Ahmad, Saira. “A Genetic Algorithm Approach to Exploring Simulation Parameters .” 2012. Web. 19 Jan 2020.

Vancouver:

Ahmad S. A Genetic Algorithm Approach to Exploring Simulation Parameters . [Internet] [Thesis]. University of Guelph; 2012. [cited 2020 Jan 19]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3996.

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

Council of Science Editors:

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

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

Rochester Institute of Technology

4. 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 January 19, 2020. 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. 19 Jan 2020.

Vancouver:

Saripalli S. A Dynamic inventory optimization method applied to printer fleet management. [Internet] [Thesis]. Rochester Institute of Technology; 2011. [cited 2020 Jan 19]. 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

Brock University

5. Imada, Janine. Evolutionary synthesis of stochastic gene network models using feature-based search spaces .

Degree: Department of Computer Science, 2009, Brock University

URL: http://hdl.handle.net/10464/2853

► A feature-based fitness function is applied in a genetic programming system to synthesize stochastic gene regulatory network models whose behaviour is defined by a time… (more)

Subjects/Keywords: Computational biology – Methodology.; Stochastic processes – Computer simulation.

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APA (6^th Edition):

Imada, J. (2009). Evolutionary synthesis of stochastic gene network models using feature-based search spaces . (Thesis). Brock University. Retrieved from http://hdl.handle.net/10464/2853

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):

Imada, Janine. “Evolutionary synthesis of stochastic gene network models using feature-based search spaces .” 2009. Thesis, Brock University. Accessed January 19, 2020. http://hdl.handle.net/10464/2853.

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

MLA Handbook (7^th Edition):

Imada, Janine. “Evolutionary synthesis of stochastic gene network models using feature-based search spaces .” 2009. Web. 19 Jan 2020.

Vancouver:

Imada J. Evolutionary synthesis of stochastic gene network models using feature-based search spaces . [Internet] [Thesis]. Brock University; 2009. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/10464/2853.

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

Council of Science Editors:

Imada J. Evolutionary synthesis of stochastic gene network models using feature-based search spaces . [Thesis]. Brock University; 2009. Available from: http://hdl.handle.net/10464/2853

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

University of Saskatchewan

6. 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 January 19, 2020. 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. 19 Jan 2020.

Vancouver:

Guo Q1. Logistic Operator Equation and the Induced Stochastic Process for Complex System Modelling. [Internet] [Thesis]. University of Saskatchewan; 2018. [cited 2020 Jan 19]. 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

Macquarie University

7. 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)

▼

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

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 January 19, 2020. http://hdl.handle.net/1959.14/1051765.

MLA Handbook (7^th Edition):

Gretz, Friedrich. “Semantics and loop invariant synthesis for probabilistic programs.” 2015. Web. 19 Jan 2020.

Vancouver:

Gretz F. Semantics and loop invariant synthesis for probabilistic programs. [Internet] [Doctoral dissertation]. Macquarie University; 2015. [cited 2020 Jan 19]. 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

8. Shin, Kaeyoung. Random Vector Generation on Large Discrete Spaces.

Degree: PhD, Industrial and Systems Engineering, 2010, Virginia Tech

URL: http://hdl.handle.net/10919/40277

► This dissertation addresses three important open questions in the context of generating random vectors having discrete support. The first question relates to the â NORmal… (more)

▼ This dissertation addresses three important open questions in the context of generating random vectors having discrete support. The first question relates to the â NORmal To Anythingâ (NORTA) procedure, which is easily the most widely used amongst methods for general random vector generation. While NORTA enjoys such popularity, there remain issues surrounding its efficient and correct implementation particularly when generating random vectors having denumerable support. These complications stem primarily from having to safely compute (on a digital computer) certain infinite summations that are inherent to the NORTA procedure. This dissertation addresses the summation issue within NORTA through the construction of easily computable truncation rules that can be applied for a range of discrete random vector generation contexts. The second question tackled in this dissertation relates to developing a customized algorithm for generating multivariate Poisson random vectors. The algorithm developed (TREx) is uniformly fast â about hundred to thousand times faster than NORTA â and presents opportunities for straightforward extensions to the case of negative binomial marginal distributions. The third and arguably most important question addressed in the dissertation is that of exact nonparametric random vector generation on finite spaces. Specifically, it is wellknown that NORTA does not guarantee exact generation in dimensions higher than two. This represents an important gap in the random vector generation literature, especially in view of contexts that stipulate strict adherence to the dependency structure of the requested random vectors. This dissertation fully addresses this gap through the development of Maximum Entropy methods. The methods are exact, very efficient, and work on any finite discrete space with stipulated nonparametric marginal distributions. All code developed as part of the dissertation was written in MATLAB, and is publicly accessible through the Web site <https://filebox.vt.edu/users/pasupath/pasupath.htm>. Advisors/Committee Members: Pasupathy, Raghu (committeechair), Taaffe, Michael R. (committee member), Nachlas, Joel A. (committee member), Sarin, Subhash C. (committee member).

Subjects/Keywords: random vector generation; input modeling; stochastic simulation

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APA (6^th Edition):

Shin, K. (2010). Random Vector Generation on Large Discrete Spaces. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/40277

Chicago Manual of Style (16^th Edition):

Shin, Kaeyoung. “Random Vector Generation on Large Discrete Spaces.” 2010. Doctoral Dissertation, Virginia Tech. Accessed January 19, 2020. http://hdl.handle.net/10919/40277.

MLA Handbook (7^th Edition):

Shin, Kaeyoung. “Random Vector Generation on Large Discrete Spaces.” 2010. Web. 19 Jan 2020.

Vancouver:

Shin K. Random Vector Generation on Large Discrete Spaces. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/10919/40277.

Council of Science Editors:

Shin K. Random Vector Generation on Large Discrete Spaces. [Doctoral Dissertation]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/40277

Cornell University

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

Degree: 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: Vladimirsky, Alexander B. (committeeMember), Caughey, David Alan (committeeMember).

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 . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/33920

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):

Popov, Pavel. “Advances In Particle/Finite Volume Algorithms For Turbulent Reactive Flows .” 2013. Thesis, Cornell University. Accessed January 19, 2020. http://hdl.handle.net/1813/33920.

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

MLA Handbook (7^th Edition):

Popov, Pavel. “Advances In Particle/Finite Volume Algorithms For Turbulent Reactive Flows .” 2013. Web. 19 Jan 2020.

Vancouver:

Popov P. Advances In Particle/Finite Volume Algorithms For Turbulent Reactive Flows . [Internet] [Thesis]. Cornell University; 2013. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/1813/33920.

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

Council of Science Editors:

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

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

Cornell University

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

Degree: 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: Jarrow, Robert A. (committeeMember), Todd, Michael Jeremy (committeeMember).

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 . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/33929

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):

Waeber, Rolf. “Probabilistic Bisection Search For Stochastic Root-Finding .” 2013. Thesis, Cornell University. Accessed January 19, 2020. http://hdl.handle.net/1813/33929.

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

MLA Handbook (7^th Edition):

Waeber, Rolf. “Probabilistic Bisection Search For Stochastic Root-Finding .” 2013. Web. 19 Jan 2020.

Vancouver:

Waeber R. Probabilistic Bisection Search For Stochastic Root-Finding . [Internet] [Thesis]. Cornell University; 2013. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/1813/33929.

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

Council of Science Editors:

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

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

Cornell University

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

Degree: 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: Earls, Christopher J (committeeMember), Warner, Derek H. (committeeMember).

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 . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/33822

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):

Wen, Bin. “Stochastic Multiscale Modeling Of Polycrystalline Materials .” 2013. Thesis, Cornell University. Accessed January 19, 2020. http://hdl.handle.net/1813/33822.

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

MLA Handbook (7^th Edition):

Wen, Bin. “Stochastic Multiscale Modeling Of Polycrystalline Materials .” 2013. Web. 19 Jan 2020.

Vancouver:

Wen B. Stochastic Multiscale Modeling Of Polycrystalline Materials . [Internet] [Thesis]. Cornell University; 2013. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/1813/33822.

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

Council of Science Editors:

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

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

University of New South Wales

12. 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 (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 January 19, 2020. 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. 19 Jan 2020.

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 2020 Jan 19]. 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

13. 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 January 19, 2020. http://hdl.handle.net/10919/90898.

MLA Handbook (7^th Edition):

Chen, Minghan. “Stochastic Modeling and Simulation of Multiscale Biochemical Systems.” 2019. Web. 19 Jan 2020.

Vancouver:

Chen M. Stochastic Modeling and Simulation of Multiscale Biochemical Systems. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2020 Jan 19]. 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 Arizona

14. 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 January 19, 2020. http://hdl.handle.net/10150/222892.

MLA Handbook (7^th Edition):

Zhou, Zhihong. “Multistage Stochastic Decomposition and its Applications .” 2012. Web. 19 Jan 2020.

Vancouver:

Zhou Z. Multistage Stochastic Decomposition and its Applications . [Internet] [Doctoral dissertation]. University of Arizona; 2012. [cited 2020 Jan 19]. 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

15. 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 (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 January 19, 2020. 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. 19 Jan 2020.

Vancouver:

Mesogitis T. Stochastic simulation of the cure of advanced composites. [Internet] [Doctoral dissertation]. Cranfield University; 2015. [cited 2020 Jan 19]. 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

University of Illinois – Urbana-Champaign

16. 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 January 19, 2020. 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. 19 Jan 2020.

Vancouver:

Michelotti M. Binning for efficient stochastic particle simulations. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2013. [cited 2020 Jan 19]. 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

17. 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 (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 January 19, 2020. 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. 19 Jan 2020.

Vancouver:

Wu T. A stochastic employment problem. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2020 Jan 19]. 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

Virginia Tech

18. 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 (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 January 19, 2020. 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. 19 Jan 2020.

Vancouver:

Ahn T. Computational Techniques for the Analysis of Large Scale Biological Systems. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2020 Jan 19]. 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

Australian National University

19. Asselineau, Charles-Alexis. Geometrical Optimisation of Receivers for Concentrating Solar Thermal Systems .

Degree: 2018, Australian National University

URL: http://hdl.handle.net/1885/143561

► In concentrated solar thermal technologies, the receiver converts concentrated solar radiation into high-temperature heat. Solar receivers are commonly simulated with a stochastic integration method: Monte-Carlo… (more)

▼ In concentrated solar thermal technologies, the receiver converts concentrated solar radiation into high-temperature heat. Solar receivers are commonly simulated with a stochastic integration method: Monte-Carlo ray-tracing. The optimisation of the geometry of receivers is challenging when using existing optimisation methods for two reasons: each receiver evaluation using Monte-Carlo ray-tracing requires significant computational effort and the outcome of a simulation involves uncertainty. A series of novel optimisation techniques are proposed to enable gradient-free, stochastic and multi-objective optimisation adapted to such problems. These techniques address the computational load difficulty and the challenge of conducting stochastic optimisation based on uncertain evaluations by introducing the concepts of “Progressive Monte-Carlo Evaluation (PMCE)”, “Intermediate Ray Emission Source (IRES)” and adaptive view-factor calculation. A new “Multi-Objective and Evolutionary PMCE Optimisation (MOEPMCE-O)” method is then built around PMCE to enable multi-objective geometrical optimisation of receivers. PMCE is shown to be able to reduce the computational time of a random search optimisation by more than 90% and is used in the geometrical design of a new receiver for the Australian National University SG4 dish concentrator that achieved 97.1% (±2.2%) of thermal efficiency during on-sun testing. MOE-PMCE-O is applied to a multi-objective tower receiver problem where liquid sodium is used as the receiver heat-carrier in a surround configuration heliostat field. A series of useful geometrical concepts emerge from the results, with geometrical features able to maintain high efficiency while keeping acceptable incident peak flux values with a moderate receiver total mass. Finally, a more fundamental look at the impact of the interaction of concentrating optics on the exergy of radiation available at the receiver location highlights the major role played by concentrator surface slope error in lowering the exergy in concentrated solar thermal systems and quantifies the exergy loss associated with non-ideal match between flux and surface temperature in receivers.

Subjects/Keywords: concentrated solar thermal; stochastic optimisation AND stochastic optimization; solar energy; simulation optimisation AND simulation optimization; solar thermal receivers; concentrating optics

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APA (6^th Edition):

Asselineau, C. (2018). Geometrical Optimisation of Receivers for Concentrating Solar Thermal Systems . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/143561

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):

Asselineau, Charles-Alexis. “Geometrical Optimisation of Receivers for Concentrating Solar Thermal Systems .” 2018. Thesis, Australian National University. Accessed January 19, 2020. http://hdl.handle.net/1885/143561.

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

MLA Handbook (7^th Edition):

Asselineau, Charles-Alexis. “Geometrical Optimisation of Receivers for Concentrating Solar Thermal Systems .” 2018. Web. 19 Jan 2020.

Vancouver:

Asselineau C. Geometrical Optimisation of Receivers for Concentrating Solar Thermal Systems . [Internet] [Thesis]. Australian National University; 2018. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/1885/143561.

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

Council of Science Editors:

Asselineau C. Geometrical Optimisation of Receivers for Concentrating Solar Thermal Systems . [Thesis]. Australian National University; 2018. Available from: http://hdl.handle.net/1885/143561

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

20. 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 (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 January 19, 2020. 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. 19 Jan 2020.

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 2020 Jan 19]. 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 Miami

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

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 January 19, 2020. https://scholarlyrepository.miami.edu/oa_dissertations/645.

MLA Handbook (7^th Edition):

Xu, Zhouyi. “Stochastic Modeling and Simulation of Gene Networks.” 2010. Web. 19 Jan 2020.

Vancouver:

Xu Z. Stochastic Modeling and Simulation of Gene Networks. [Internet] [Doctoral dissertation]. University of Miami; 2010. [cited 2020 Jan 19]. 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

22. 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

►

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)

▼

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 January 19, 2020. 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. 19 Jan 2020.

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 2020 Jan 19]. 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

23. Jouves, Johan. Origine, caractérisation et distribution prédictive des structures karstiques : de la karstologie aux modèles numériques 3D : Origin, characterization and predictive distribution of karst structures.

Degree: Docteur es, Géosciences de l'environnement, 2018, Aix Marseille Université

URL: http://www.theses.fr/2018AIXM0153

►

Les réseaux karstiques s'organisent de manière hiérarchique et se comportent comme des drains pour l'écoulement des fluides souterrains. Cependant seule une partie limitée de ces… (more)

▼

Les réseaux karstiques s'organisent de manière hiérarchique et se comportent comme des drains pour l'écoulement des fluides souterrains. Cependant seule une partie limitée de ces réseaux karstiques est généralement humainement observable, et la connaissance globale d'un système reste limitée. Les simulations géostatistiques représentent un moyen d’étudier les différentes configurations des réseaux karstiques tridimensionnels (3D) probables et ainsi de déterminer les incertitudes sur le comportement du réservoir. Établir une telle démarche nécessite de comprendre les étapes de structuration d'un karst donné à partir de déterminations karstologiques permettant d'identifier la morphogenèse des formes exo- et endokarstique et de reconstituer l'évolution spéléogénétique d'un massif (spéléogenèse épigène ou hypogène, évolution du niveau de base, etc.). Cela a permis de définir une zonation de l'occurrence de l'organisation des structures karstiques (zone vadose, épiphréatique ou phréatique). En parallèle, l'analyse quantitative de géométries et de topologies de données 3D de cavités analogues a permis de comparer les différentes structures de réseaux karstiques et de fournir une base de données quantitative de caractéristiques morphologiques de cavités en fonction de processus spéléogénétiques. Deux approches géostatistiques ont été testées pour la simulation stochastique de réseaux karstiques. Elles reposent sur l'utilisation de méthodes classiques de géostatistiques basées-pixel : la simulation séquentielle d’indicatrice (SIS) et les simulations multipoints (MPS).

Karst networks are hierarchically organized and behave as drains for underground fluid flows. However, the humanly observed karst conduits represent only a limited part of the complete karst conduit system, and overall knowledge remains limited. Geostatistical stochastic simulations represent an interesting tool to study the different three-dimensional (3D) probable configurations of karst networks and then, to determine the uncertainties on the reservoir behaviors. This approach first requires understanding the successive stages of karst structuring of a reservoir and then to numerically reconstruct the 3D organization of karst structures. From karstological determinations, it is possible to identify the morphogenesis of the exo- and endokarst forms and to reconstitute the speleogenetic evolution of a massif (epigenic or hypogenic speleogenesis, evolution of the basic level, etc.). The speleogenetic reconstitutions then make it possible to identify the successive phases of the karst system structuration (epigenic or hypogenic speleogenesis, evolution of base level, etc.). In parallel, a quantitative analysis of the geometries and the topologies performed on 3D cave surveys permits to compare the different organizations of the karst network patterns, related to speleogenetic processes. This morphometric analysis provides a quantitative database of morphological characteristics according to their speleogenetic processes. Finally, two geostatistical approaches…

Advisors/Committee Members: Guglielmi, Yves (thesis director), Viseur, Sophie (thesis director).

Subjects/Keywords: Karst; Spéléogenèse; Géostatistique; Simulation stochastiques; Géométrie; Topologie; Karst; Speleogenesis; Geostatistics; Stochastic simulation; Geometry; Topology

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

APA (6^th Edition):

Jouves, J. (2018). Origine, caractérisation et distribution prédictive des structures karstiques : de la karstologie aux modèles numériques 3D : Origin, characterization and predictive distribution of karst structures. (Doctoral Dissertation). Aix Marseille Université. Retrieved from http://www.theses.fr/2018AIXM0153

Chicago Manual of Style (16^th Edition):

Jouves, Johan. “Origine, caractérisation et distribution prédictive des structures karstiques : de la karstologie aux modèles numériques 3D : Origin, characterization and predictive distribution of karst structures.” 2018. Doctoral Dissertation, Aix Marseille Université. Accessed January 19, 2020. http://www.theses.fr/2018AIXM0153.

MLA Handbook (7^th Edition):

Jouves, Johan. “Origine, caractérisation et distribution prédictive des structures karstiques : de la karstologie aux modèles numériques 3D : Origin, characterization and predictive distribution of karst structures.” 2018. Web. 19 Jan 2020.

Vancouver:

Jouves J. Origine, caractérisation et distribution prédictive des structures karstiques : de la karstologie aux modèles numériques 3D : Origin, characterization and predictive distribution of karst structures. [Internet] [Doctoral dissertation]. Aix Marseille Université 2018. [cited 2020 Jan 19]. Available from: http://www.theses.fr/2018AIXM0153.

Council of Science Editors:

Jouves J. Origine, caractérisation et distribution prédictive des structures karstiques : de la karstologie aux modèles numériques 3D : Origin, characterization and predictive distribution of karst structures. [Doctoral Dissertation]. Aix Marseille Université 2018. Available from: http://www.theses.fr/2018AIXM0153

24. 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, Grenoble Alpes

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

►

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)

▼

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). Grenoble Alpes. 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, Grenoble Alpes. Accessed January 19, 2020. 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. 19 Jan 2020.

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]. Grenoble Alpes; 2018. [cited 2020 Jan 19]. 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]. Grenoble Alpes; 2018. Available from: http://www.theses.fr/2018GREAU005

University of Utah

25. Smith, Steven Michael. Stochastic finite-difference time-domain.

Degree: PhD, Electrical & Computer Engineering, 2011, University of Utah

URL: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/485/rec/2257

► This dissertation presents the derivation of an approximate method to determine the mean and the variance of electromagnetic fields in the body using the Finite-Difference… (more)

Subjects/Keywords: Delta method; EM simulation; FDTD; Finite-difference time-domain; Stochastic

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

APA (6^th Edition):

Smith, S. M. (2011). Stochastic finite-difference time-domain. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/485/rec/2257

Chicago Manual of Style (16^th Edition):

Smith, Steven Michael. “Stochastic finite-difference time-domain.” 2011. Doctoral Dissertation, University of Utah. Accessed January 19, 2020. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/485/rec/2257.

MLA Handbook (7^th Edition):

Smith, Steven Michael. “Stochastic finite-difference time-domain.” 2011. Web. 19 Jan 2020.

Vancouver:

Smith SM. Stochastic finite-difference time-domain. [Internet] [Doctoral dissertation]. University of Utah; 2011. [cited 2020 Jan 19]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/485/rec/2257.

Council of Science Editors:

Smith SM. Stochastic finite-difference time-domain. [Doctoral Dissertation]. University of Utah; 2011. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/485/rec/2257

Texas A&M University

26. Peterson, Devin Richard. Financial Implications of Intergenerational Farm Transfers.

Degree: 2013, Texas A&M University

URL: http://hdl.handle.net/1969.1/151880

► This study seeks to address the challenge of family farm succession. A recursive, stochastic, simulation model is employed to estimate the financial impacts and accompanying… (more)

Subjects/Keywords: Intergenerational; transfer; farm; agriculture; simulation; stochastic; death; methods; model

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APA (6^th Edition):

Peterson, D. R. (2013). Financial Implications of Intergenerational Farm Transfers. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151880

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):

Peterson, Devin Richard. “Financial Implications of Intergenerational Farm Transfers.” 2013. Thesis, Texas A&M University. Accessed January 19, 2020. http://hdl.handle.net/1969.1/151880.

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

MLA Handbook (7^th Edition):

Peterson, Devin Richard. “Financial Implications of Intergenerational Farm Transfers.” 2013. Web. 19 Jan 2020.

Vancouver:

Peterson DR. Financial Implications of Intergenerational Farm Transfers. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/1969.1/151880.

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

Council of Science Editors:

Peterson DR. Financial Implications of Intergenerational Farm Transfers. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151880

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

Texas A&M University

27. Mhiri, Adnene. Stochastic Modeling of a Fracture Network in a Hydraulically Fractured Shale-Gas Reservoir.

Degree: 2014, Texas A&M University

URL: http://hdl.handle.net/1969.1/153623

► The fundamental behavior of fluid production from shale/ultra-low permeability reservoirs that are produced under a constant wellbore pressure remains difficult to quantify, which is believed… (more)

▼ The fundamental behavior of fluid production from shale/ultra-low permeability reservoirs that are produced under a constant wellbore pressure remains difficult to quantify, which is believed to be (at least in part) due to the complexity of the hydraulic fracture patterns created during the well stimulation process. This work introduces a novel approach to model the hydraulic fractures in a shale reservoir using a stochastic method called random-walk. We see this approach as a beginning step that could be used to capture a part of the "complexity" of a fracture that has been generated by a hydraulic fracturing treatment and that such "complex" fracture processes may be observed in the Microseismic measurements. To assess the random-walk fracture concept, we performed numerical simulation of the patterns generated using a given random-walk fracture pattern. Using a total of 83 pattern cases, sensitivity analyses were performed on these fracture patterns; where the tortuosity, the extent (length), the tendency to split, and the number of branching stages were the factors considered. The rate performance of the "random-walk" fracture cases were compared to the standard model of a (single) planar hydraulic fracture. In addition to the mass rate performance, the created pressure distribution was analyzed in "time slices" (or "snapshots) to qualitatively assess each complex-pattern during early production times (before the onset of the pseudosteady-state flow regime). Our results were used to create a correlation between fracture performance, in terms of cumulative recovery, and the fracture volume and "complexity." In addition, an empirical correlation between the number of stages of bifurcation (splitting) of the fracture pattern and the value of the mass rate ?-derivative for early production times was then established. Finally, as we were limited to a small-scale case due to the intensive gridding required, the feasibility and the advantages of a full-scale reservoir and well model are discussed. Advisors/Committee Members: Blasingame, Thomas A. (advisor), Ayers, Walter B. (committee member), Barrufet, Maria A. (committee member).

Subjects/Keywords: Shale; Fracture; Hydraulic; Stochastic; Modeling; Simulation; Random Walk

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

APA (6^th Edition):

Mhiri, A. (2014). Stochastic Modeling of a Fracture Network in a Hydraulically Fractured Shale-Gas Reservoir. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153623

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):

Mhiri, Adnene. “Stochastic Modeling of a Fracture Network in a Hydraulically Fractured Shale-Gas Reservoir.” 2014. Thesis, Texas A&M University. Accessed January 19, 2020. http://hdl.handle.net/1969.1/153623.

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

MLA Handbook (7^th Edition):

Mhiri, Adnene. “Stochastic Modeling of a Fracture Network in a Hydraulically Fractured Shale-Gas Reservoir.” 2014. Web. 19 Jan 2020.

Vancouver:

Mhiri A. Stochastic Modeling of a Fracture Network in a Hydraulically Fractured Shale-Gas Reservoir. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/1969.1/153623.

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

Council of Science Editors:

Mhiri A. Stochastic Modeling of a Fracture Network in a Hydraulically Fractured Shale-Gas Reservoir. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153623

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

University of Exeter

28. Taylor, Alexander Charles. Dispersion by time-varying atmospheric boundary layers.

Degree: PhD, 2012, University of Exeter

URL: http://hdl.handle.net/10036/3602

► The periods of time-varying turbulence in the atmospheric boundary layer, i.e. the morning and evening transitions, are often overlooked or highly idealised by dispersion models.… (more)

▼ The periods of time-varying turbulence in the atmospheric boundary layer, i.e. the morning and evening transitions, are often overlooked or highly idealised by dispersion models. These transitions make up a significant portion of the diurnal cycle and are known to affect the spread of pollution due to the properties of turbulence in the residual and stable layers, resulting in phenomena such as lofting, trapping, and fumigation.\ Two main simulation techniques are presented for the purpose of modelling the dispersion of passive tracers in both convective and evening transitional boundary layers: Lagrangian stochastic (LS) modelling for 1D, inhomogeneous, non-stationary turbulence; and large-eddy simulation (LES) with a particle model tracing pollutant paths using a combination of the resolved flow velocities and a random displacement model to represent sub-grid scale motions.\ In the convective boundary layer, LS models more accurately representing the state of turbulence, and including the effect of skewness, are shown to produce dispersion results in closer agreement with LES. By considering individual particle trajectories, a reflective top boundary in LS models is shown to produce un-physical, sharp changes in velocity and position. By applying a correction to the vertical velocity variance based on representing the stable potential temperature gradient above the boundary layer, particles are contained within the boundary layer in a physically accurate way. \ An LS model for predicting dispersion in time-varying, skewed turbulence is developed and tested for various particle releases in transitional boundary layers with different rates of decay, showing an improvement in accuracy compared with previous LS models. Further improvement is made by applying a correction to the vertical velocity variance to represent the effect of a positive potential temperature gradient developing over the course of the transition. Finally, a developing stable boundary layer is shown to have a significant trapping effect on particles released near the surface. \\

Subjects/Keywords: 551.515; Boundary layer, : large-eddy simulation : Largangian stochastic : pollution : transition : convective

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

APA (6^th Edition):

Taylor, A. C. (2012). Dispersion by time-varying atmospheric boundary layers. (Doctoral Dissertation). University of Exeter. Retrieved from http://hdl.handle.net/10036/3602

Chicago Manual of Style (16^th Edition):

Taylor, Alexander Charles. “Dispersion by time-varying atmospheric boundary layers.” 2012. Doctoral Dissertation, University of Exeter. Accessed January 19, 2020. http://hdl.handle.net/10036/3602.

MLA Handbook (7^th Edition):

Taylor, Alexander Charles. “Dispersion by time-varying atmospheric boundary layers.” 2012. Web. 19 Jan 2020.

Vancouver:

Taylor AC. Dispersion by time-varying atmospheric boundary layers. [Internet] [Doctoral dissertation]. University of Exeter; 2012. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/10036/3602.

Council of Science Editors:

Taylor AC. Dispersion by time-varying atmospheric boundary layers. [Doctoral Dissertation]. University of Exeter; 2012. Available from: http://hdl.handle.net/10036/3602

Universiteit Utrecht

29. Myerscough, K.W. Correcting Numerical Simulations for Known Expectations.

Degree: 2015, Universiteit Utrecht

URL: http://dspace.library.uu.nl:8080/handle/1874/319572

► Predictions of the future climate require long-time simulation of a chaotic dynamical system. This poses a challenge for numerical simulations, as these do not necessarily… (more)

▼ Predictions of the future climate require long-time simulation of a chaotic dynamical system. This poses a challenge for numerical simulations, as these do not necessarily capture the correct long-term behaviour of chaotic systems. This problem is exacerbated by the wide range of length scales present in atmospheric and oceanic dynamics. The modeling choices for small scale processes have a large impact on long term statistics of the scales of interest. This thesis studies the dynamics of two different fluid models as a proxy for atmospheric dynamics: a point vortex flow on the sphere and two-dimensional turbulent flow on a torus. We apply gentle dynamical perturbations commonly used in molecular dynamics to these fluid dynamics problems as a means for improving the statistical veracity of low fidelity simulations. For the point vortex system we study a system consisting of both strong and weak vortices. The strong vortex dynamics are mildly influenced by the weak vortices on a short time scale, but the presence of the weak vortices introduces a variability in the strong vortex energy. We mimic this behaviour in a model with only the strong vortices by gentle perturbations to the equations of motion. The perturbations have a stochastic forcing such that the modified dynamics ergodically sample an invariant measure consistent with observations from the strong vortex system in contact with the weak vortices. We choose the invariant measure as the minimal entropy density consistent with observations. The required Lagrange multipliers can be computed either a priori using a sample set in some prior distribution, or they can be computed on-the-fly using the simulation history as an ensemble. The latter method allows the observations to be updated during runtime, providing the opportunity for data-assimilation. We construct a Poisson integration method for the aforementioned point vortex dynamics by splitting the Hamiltonian into its constituent vortex pair terms. The method provides exact solutions to a Poisson system with the same bracket as the original dynamical system, but with a modified Hamiltonian function. Different orderings of the pairwise interactions are considered and are also used for the construction of higher order methods. The energy and momentum conservation of the splitting schemes is demonstrated for several test cases. For particular orderings of the pairwise interactions, the schemes allow scalable parallelization. This results in a linear – as opposed to quadratic – scaling of computation time with system size. We also explore the direct modification of the pseudo-spectral truncation of two-dimensional, incompressible fluid dynamics on a torus to maintain a prescribed kinetic energy spectrum. The method provides a means of simulating fluid states with defined spectral properties, for the purpose of matching simulation statistics to given information, arising from observations, theoretical predictions or high fidelity simulations. In the scheme outlined here, Nosé-Hoover thermostats – commonly… Advisors/Committee Members: Frank, Jason.

Subjects/Keywords: dynamical systems; numerical simulation; stochastic perturbation; thermostats; Poisson system

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

APA (6^th Edition):

Myerscough, K. W. (2015). Correcting Numerical Simulations for Known Expectations. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/319572

Chicago Manual of Style (16^th Edition):

Myerscough, K W. “Correcting Numerical Simulations for Known Expectations.” 2015. Doctoral Dissertation, Universiteit Utrecht. Accessed January 19, 2020. http://dspace.library.uu.nl:8080/handle/1874/319572.

MLA Handbook (7^th Edition):

Myerscough, K W. “Correcting Numerical Simulations for Known Expectations.” 2015. Web. 19 Jan 2020.

Vancouver:

Myerscough KW. Correcting Numerical Simulations for Known Expectations. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2015. [cited 2020 Jan 19]. Available from: http://dspace.library.uu.nl:8080/handle/1874/319572.

Council of Science Editors:

Myerscough KW. Correcting Numerical Simulations for Known Expectations. [Doctoral Dissertation]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/319572

University of Minnesota

30. Tomshine, Jonathan Robert. Stochastic-Kinetic modeling of synthetic gene regulatory networks.

Degree: PhD, Chemical engineering, 2009, University of Minnesota

URL: http://purl.umn.edu/53817

► This dissertation focuses on the development and application of new computational methods and tools for the in silico simulation of the behavior of networks of… (more)

▼ This dissertation focuses on the development and application of new computational methods and tools for the in silico simulation of the behavior of networks of biochemical interactions with a particular focus on synthetic gene regulatory networks. In gene regulatory networks the protein product of one gene regulates the expression of one or more genes. With simple positive or negative feedback or feedforward regulatory relationships, biological phenotypes of astonishing complexity naturally emerge. Gene regulatory networks are also of particular interest in the field of synthetic biology. This is a new discipline that is influenced by both engineering and biological sciences. Synthetic biology efforts focus on the construction of new gene regulatory networks that give rise to controllable phenotypic behavior. Synthetic biology is fueled by an ever-increasing body of genetic knowledge and the technologies to read and write DNA sequences quickly and inexpensively. As in any forward-engineering discipline, modeling can play a catalytic role in the rational design of synthetic gene regulatory networks. The construction of mathematical models of gene networks can provide far more than a simple summary of experimental data. The models constructed in this dissertation are highly detailed and follow from first-principles. That is, a "reductionist" approach is followed, whereby a potentially complex network of gene expression (including all of the fundamental steps of transcription, translation, regulation, etc. of each gene) is reduced to a large series of elementary chemical reactions. These mechanistic models of gene networks are simulated using an accurate stochastic algorithm that accounts for the small size of a biological cell and the dilute nature of critical reacting species. These tools – quantitative, mechanistic, kinetic models simulated stochastically – are used to study several gene network paradigms including genetic oscillators and logic gates.

Subjects/Keywords: Gene Network; Kinetic; Modeling; Simulation; Stochastic; Synthetic Biology; Chemical Engineering

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

APA (6^th Edition):

Tomshine, J. R. (2009). Stochastic-Kinetic modeling of synthetic gene regulatory networks. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/53817

Chicago Manual of Style (16^th Edition):

Tomshine, Jonathan Robert. “Stochastic-Kinetic modeling of synthetic gene regulatory networks.” 2009. Doctoral Dissertation, University of Minnesota. Accessed January 19, 2020. http://purl.umn.edu/53817.

MLA Handbook (7^th Edition):

Tomshine, Jonathan Robert. “Stochastic-Kinetic modeling of synthetic gene regulatory networks.” 2009. Web. 19 Jan 2020.

Vancouver:

Tomshine JR. Stochastic-Kinetic modeling of synthetic gene regulatory networks. [Internet] [Doctoral dissertation]. University of Minnesota; 2009. [cited 2020 Jan 19]. Available from: http://purl.umn.edu/53817.

Council of Science Editors:

Tomshine JR. Stochastic-Kinetic modeling of synthetic gene regulatory networks. [Doctoral Dissertation]. University of Minnesota; 2009. Available from: http://purl.umn.edu/53817

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Open Access Theses and Dissertations