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Virginia Tech

1.
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)

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

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

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 December 11, 2019. http://hdl.handle.net/10919/90898.

MLA Handbook (7^{th} Edition):

Chen, Minghan. “Stochastic Modeling and Simulation of Multiscale Biochemical Systems.” 2019. Web. 11 Dec 2019.

Vancouver:

Chen M. Stochastic Modeling and Simulation of Multiscale Biochemical Systems. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2019 Dec 11]. 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

Texas A&M University

2.
Word, Daniel Paul.
Nonlinear Programming Approaches for Efficient Large-Scale *Parameter* Estimation with Applications in Epidemiology.

Degree: 2013, Texas A&M University

URL: http://hdl.handle.net/1969.1/151166

► The development of infectious disease models remains important to provide scientists with tools to better understand disease dynamics and develop more effective control strategies. In…
(more)

Subjects/Keywords: Nonlinear programming; parameter estimation; stochastic programming; measles; parallel dynamic optimization

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APA (6^{th} Edition):

Word, D. P. (2013). Nonlinear Programming Approaches for Efficient Large-Scale Parameter Estimation with Applications in Epidemiology. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151166

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):

Word, Daniel Paul. “Nonlinear Programming Approaches for Efficient Large-Scale Parameter Estimation with Applications in Epidemiology.” 2013. Thesis, Texas A&M University. Accessed December 11, 2019. http://hdl.handle.net/1969.1/151166.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Word, Daniel Paul. “Nonlinear Programming Approaches for Efficient Large-Scale Parameter Estimation with Applications in Epidemiology.” 2013. Web. 11 Dec 2019.

Vancouver:

Word DP. Nonlinear Programming Approaches for Efficient Large-Scale Parameter Estimation with Applications in Epidemiology. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1969.1/151166.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Word DP. Nonlinear Programming Approaches for Efficient Large-Scale Parameter Estimation with Applications in Epidemiology. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151166

Not specified: Masters Thesis or Doctoral Dissertation

Georgia State University

3.
Sirb, Ben.
Decentralized *Parameter* Estimation.

Degree: PhD, Mathematics and Statistics, 2018, Georgia State University

URL: https://scholarworks.gsu.edu/math_diss/50

► We develop efficient numerical methods for solving inverse problems in a decentralized setting. First we consider decentralized *optimization* of a known objective with known…
(more)

Subjects/Keywords: Decentralized consensus optimization; delayed gradient; stochastic gradient; decentralized networks; inverse problems; parameter estimation

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APA (6^{th} Edition):

Sirb, B. (2018). Decentralized Parameter Estimation. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_diss/50

Chicago Manual of Style (16^{th} Edition):

Sirb, Ben. “Decentralized Parameter Estimation.” 2018. Doctoral Dissertation, Georgia State University. Accessed December 11, 2019. https://scholarworks.gsu.edu/math_diss/50.

MLA Handbook (7^{th} Edition):

Sirb, Ben. “Decentralized Parameter Estimation.” 2018. Web. 11 Dec 2019.

Vancouver:

Sirb B. Decentralized Parameter Estimation. [Internet] [Doctoral dissertation]. Georgia State University; 2018. [cited 2019 Dec 11]. Available from: https://scholarworks.gsu.edu/math_diss/50.

Council of Science Editors:

Sirb B. Decentralized Parameter Estimation. [Doctoral Dissertation]. Georgia State University; 2018. Available from: https://scholarworks.gsu.edu/math_diss/50

University of Michigan

4.
Steimle, Lauren.
* Stochastic* Dynamic

Degree: PhD, Industrial & Operations Engineering, 2019, University of Michigan

URL: http://hdl.handle.net/2027.42/149947

► *Stochastic* dynamic *optimization* methods are powerful mathematical tools for informing sequential decision-making in environments where the outcomes of decisions are uncertain. For instance, the Markov…
(more)

Subjects/Keywords: dynamic programming; Markov decision process; stochastic optimization; decomposition; parameter uncertainty; ambiguity; Industrial and Operations Engineering; Engineering

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

APA (6^{th} Edition):

Steimle, L. (2019). Stochastic Dynamic Optimization Under Ambiguity. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/149947

Chicago Manual of Style (16^{th} Edition):

Steimle, Lauren. “Stochastic Dynamic Optimization Under Ambiguity.” 2019. Doctoral Dissertation, University of Michigan. Accessed December 11, 2019. http://hdl.handle.net/2027.42/149947.

MLA Handbook (7^{th} Edition):

Steimle, Lauren. “Stochastic Dynamic Optimization Under Ambiguity.” 2019. Web. 11 Dec 2019.

Vancouver:

Steimle L. Stochastic Dynamic Optimization Under Ambiguity. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/2027.42/149947.

Council of Science Editors:

Steimle L. Stochastic Dynamic Optimization Under Ambiguity. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/149947

University of Illinois – Urbana-Champaign

5.
Chun, Junho.
Reliability−based topology *optimization* frameworks for the design of structures subjected to random excitations.

Degree: PhD, Civil Engineering, 2016, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/93063

► Structural *optimization* aims to provide structural designs that allow for the best performance while satisfying given design constraints. Among various applications of structural *optimization*, topology…
(more)

Subjects/Keywords: Topology optimization; Stochastic excitation; Reliability-based design optimization; Reliability-based topology optimization; Parameter sensitivity; Discrete representation; Multiresolution; Polygonal elements; Forced vibration optimization; System reliability; Sequential compounding method; First-passage probability; Ground structure; discrete filtering

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

APA (6^{th} Edition):

Chun, J. (2016). Reliability−based topology optimization frameworks for the design of structures subjected to random excitations. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/93063

Chicago Manual of Style (16^{th} Edition):

Chun, Junho. “Reliability−based topology optimization frameworks for the design of structures subjected to random excitations.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 11, 2019. http://hdl.handle.net/2142/93063.

MLA Handbook (7^{th} Edition):

Chun, Junho. “Reliability−based topology optimization frameworks for the design of structures subjected to random excitations.” 2016. Web. 11 Dec 2019.

Vancouver:

Chun J. Reliability−based topology optimization frameworks for the design of structures subjected to random excitations. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/2142/93063.

Council of Science Editors:

Chun J. Reliability−based topology optimization frameworks for the design of structures subjected to random excitations. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/93063

Université de Grenoble

6. Li, Zhongyang. Modélisation de signaux longs multicomposantes modulés non linéairement en fréquence et en amplitude : suivi de ces composantes dans le plan temps-fréquence : Modeling of long-time multicomponent signals with nonlinear frequency and amplitude modulations : component tracking in the time-frequency plane.

Degree: Docteur es, Sciences et technologie industrielles, 2013, Université de Grenoble

URL: http://www.theses.fr/2013GRENT026

►

Cette thèse propose une nouvelle méthode pour modéliser les fonctions non linéaires de modulations d’amplitude et de fréquence de signaux multicomposantes non stationnaires de durée… (more)

Subjects/Keywords: Traitement du signal; Estimation du paramètre; Modulation nonlinéaire; Modèle temps-fréquence; Méthode de optimalisation stochastique; Surveillance; Signal processing; Parameter estimation; Nonlinear modulation; Time-frequency model; Stochastic optimization methods; Condition monitoring

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

APA (6^{th} Edition):

Li, Z. (2013). Modélisation de signaux longs multicomposantes modulés non linéairement en fréquence et en amplitude : suivi de ces composantes dans le plan temps-fréquence : Modeling of long-time multicomponent signals with nonlinear frequency and amplitude modulations : component tracking in the time-frequency plane. (Doctoral Dissertation). Université de Grenoble. Retrieved from http://www.theses.fr/2013GRENT026

Chicago Manual of Style (16^{th} Edition):

Li, Zhongyang. “Modélisation de signaux longs multicomposantes modulés non linéairement en fréquence et en amplitude : suivi de ces composantes dans le plan temps-fréquence : Modeling of long-time multicomponent signals with nonlinear frequency and amplitude modulations : component tracking in the time-frequency plane.” 2013. Doctoral Dissertation, Université de Grenoble. Accessed December 11, 2019. http://www.theses.fr/2013GRENT026.

MLA Handbook (7^{th} Edition):

Li, Zhongyang. “Modélisation de signaux longs multicomposantes modulés non linéairement en fréquence et en amplitude : suivi de ces composantes dans le plan temps-fréquence : Modeling of long-time multicomponent signals with nonlinear frequency and amplitude modulations : component tracking in the time-frequency plane.” 2013. Web. 11 Dec 2019.

Vancouver:

Li Z. Modélisation de signaux longs multicomposantes modulés non linéairement en fréquence et en amplitude : suivi de ces composantes dans le plan temps-fréquence : Modeling of long-time multicomponent signals with nonlinear frequency and amplitude modulations : component tracking in the time-frequency plane. [Internet] [Doctoral dissertation]. Université de Grenoble; 2013. [cited 2019 Dec 11]. Available from: http://www.theses.fr/2013GRENT026.

Council of Science Editors:

Li Z. Modélisation de signaux longs multicomposantes modulés non linéairement en fréquence et en amplitude : suivi de ces composantes dans le plan temps-fréquence : Modeling of long-time multicomponent signals with nonlinear frequency and amplitude modulations : component tracking in the time-frequency plane. [Doctoral Dissertation]. Université de Grenoble; 2013. Available from: http://www.theses.fr/2013GRENT026

Universidade do Estado do Rio de Janeiro

7. Cláudio Távora Lima. Um estudo numérico de otimização estocástica aplicada à estimação de parâmetros de modelos termodinâmicos.

Degree: Master, 2008, Universidade do Estado do Rio de Janeiro

URL: http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=775 ;

►

Neste trabalho foi estudado o problema de estimação de parâmetros de modelos termodinâmicos (particularmente, parâmetros de interação binária de regras de mistura de equações de… (more)

Subjects/Keywords: Estimativa de parâmetro Termodinâmica; Termodinâmica modelos matemáticos; Otimização matemática; Processo estocástico; Equações de estado; Otimização estocástica; Regras de mistura ; Parameter estimation - thermodynamics; Thermodynamics - mathematical models; Mathematical optimization; Stochastic processes; Equations of state; Stochastic optimization; Mixing rules; MATEMATICA APLICADA

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APA (6^{th} Edition):

Lima, C. T. (2008). Um estudo numérico de otimização estocástica aplicada à estimação de parâmetros de modelos termodinâmicos. (Masters Thesis). Universidade do Estado do Rio de Janeiro. Retrieved from http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=775 ;

Chicago Manual of Style (16^{th} Edition):

Lima, Cláudio Távora. “Um estudo numérico de otimização estocástica aplicada à estimação de parâmetros de modelos termodinâmicos.” 2008. Masters Thesis, Universidade do Estado do Rio de Janeiro. Accessed December 11, 2019. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=775 ;.

MLA Handbook (7^{th} Edition):

Lima, Cláudio Távora. “Um estudo numérico de otimização estocástica aplicada à estimação de parâmetros de modelos termodinâmicos.” 2008. Web. 11 Dec 2019.

Vancouver:

Lima CT. Um estudo numérico de otimização estocástica aplicada à estimação de parâmetros de modelos termodinâmicos. [Internet] [Masters thesis]. Universidade do Estado do Rio de Janeiro; 2008. [cited 2019 Dec 11]. Available from: http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=775 ;.

Council of Science Editors:

Lima CT. Um estudo numérico de otimização estocástica aplicada à estimação de parâmetros de modelos termodinâmicos. [Masters Thesis]. Universidade do Estado do Rio de Janeiro; 2008. Available from: http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=775 ;

8.
Mourad, Aya.
Identification de la conductivité hydraulique pour un problème d'intrusion saline : Comparaison entre l'approche déterministe et l'approche stochastique : Identification of hydraulic conductivity for a seawater intrusion problem : Comparison between the deterministic approach and the *stochastic* approach.

Degree: Docteur es, Mathématiques, 2017, Littoral; École Doctorale des Sciences et de Technologie (Beyrouth)

URL: http://www.theses.fr/2017DUNK0465

►

Le thème de cette thèse est l'identification de paramètres tels que la conductivité hydraulique, K, pour un problème d'intrusion marine dans un aquifère isotrope et… (more)

Subjects/Keywords: Identification de paramètres; Problème d'optimisation; Systèmes non linéaire d'équations paraboliques; Méthodes des éléments finis; Analyse numérique; Approches stochastiques; Problème d'intrusion saline; Calcul scientifique; Parameter identification; Optimization problem; Nonlinear systems of parabolic equations; Finite element method; Numeric analysis; Stochastic approaches; Problem of saltwater intrusion; Scientific computation

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

APA (6^{th} Edition):

Mourad, A. (2017). Identification de la conductivité hydraulique pour un problème d'intrusion saline : Comparaison entre l'approche déterministe et l'approche stochastique : Identification of hydraulic conductivity for a seawater intrusion problem : Comparison between the deterministic approach and the stochastic approach. (Doctoral Dissertation). Littoral; École Doctorale des Sciences et de Technologie (Beyrouth). Retrieved from http://www.theses.fr/2017DUNK0465

Chicago Manual of Style (16^{th} Edition):

Mourad, Aya. “Identification de la conductivité hydraulique pour un problème d'intrusion saline : Comparaison entre l'approche déterministe et l'approche stochastique : Identification of hydraulic conductivity for a seawater intrusion problem : Comparison between the deterministic approach and the stochastic approach.” 2017. Doctoral Dissertation, Littoral; École Doctorale des Sciences et de Technologie (Beyrouth). Accessed December 11, 2019. http://www.theses.fr/2017DUNK0465.

MLA Handbook (7^{th} Edition):

Mourad, Aya. “Identification de la conductivité hydraulique pour un problème d'intrusion saline : Comparaison entre l'approche déterministe et l'approche stochastique : Identification of hydraulic conductivity for a seawater intrusion problem : Comparison between the deterministic approach and the stochastic approach.” 2017. Web. 11 Dec 2019.

Vancouver:

Mourad A. Identification de la conductivité hydraulique pour un problème d'intrusion saline : Comparaison entre l'approche déterministe et l'approche stochastique : Identification of hydraulic conductivity for a seawater intrusion problem : Comparison between the deterministic approach and the stochastic approach. [Internet] [Doctoral dissertation]. Littoral; École Doctorale des Sciences et de Technologie (Beyrouth); 2017. [cited 2019 Dec 11]. Available from: http://www.theses.fr/2017DUNK0465.

Council of Science Editors:

Mourad A. Identification de la conductivité hydraulique pour un problème d'intrusion saline : Comparaison entre l'approche déterministe et l'approche stochastique : Identification of hydraulic conductivity for a seawater intrusion problem : Comparison between the deterministic approach and the stochastic approach. [Doctoral Dissertation]. Littoral; École Doctorale des Sciences et de Technologie (Beyrouth); 2017. Available from: http://www.theses.fr/2017DUNK0465

Colorado School of Mines

9.
Drumheller, Zachary W.
Development of a control *optimization* algorithm with uncertain *parameter* inversion for *stochastic*, nonlinear systems : a proof-of-concept applied to managed aquifer recharge and recovery.

Degree: MS(M.S.), Mechanical Engineering, 2007, Colorado School of Mines

URL: http://hdl.handle.net/11124/17139

► Aquifers around the world show troubling signs of irreversible depletion and seawater intrusion as climate change, population growth, and urbanization lead to reduced natural recharge…
(more)

Subjects/Keywords: optimal control of stochastic; simulation-based control optimization; parameter estimation; nonlinear systems with latency; managed aquifer recharge and recovery; genetic algorithm; dynamic parameter inversion; Groundwater recharge; Aquifer storage recovery; Algorithms; Stochastic systems; Simulation methods; Control theory

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

APA (6^{th} Edition):

Drumheller, Z. W. (2007). Development of a control optimization algorithm with uncertain parameter inversion for stochastic, nonlinear systems : a proof-of-concept applied to managed aquifer recharge and recovery. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/17139

Chicago Manual of Style (16^{th} Edition):

Drumheller, Zachary W. “Development of a control optimization algorithm with uncertain parameter inversion for stochastic, nonlinear systems : a proof-of-concept applied to managed aquifer recharge and recovery.” 2007. Masters Thesis, Colorado School of Mines. Accessed December 11, 2019. http://hdl.handle.net/11124/17139.

MLA Handbook (7^{th} Edition):

Drumheller, Zachary W. “Development of a control optimization algorithm with uncertain parameter inversion for stochastic, nonlinear systems : a proof-of-concept applied to managed aquifer recharge and recovery.” 2007. Web. 11 Dec 2019.

Vancouver:

Drumheller ZW. Development of a control optimization algorithm with uncertain parameter inversion for stochastic, nonlinear systems : a proof-of-concept applied to managed aquifer recharge and recovery. [Internet] [Masters thesis]. Colorado School of Mines; 2007. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/11124/17139.

Council of Science Editors:

Drumheller ZW. Development of a control optimization algorithm with uncertain parameter inversion for stochastic, nonlinear systems : a proof-of-concept applied to managed aquifer recharge and recovery. [Masters Thesis]. Colorado School of Mines; 2007. Available from: http://hdl.handle.net/11124/17139

The Ohio State University

10.
Ittiwattana, Waraporn.
A Method for Simulation *Optimization* with Applications in
Robust Process Design and Locating Supply Chain Operations.

Degree: PhD, Industrial and Systems Engineering, 2002, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1030366020

► This dissertation contains the first proof of convergence of a genetic algorithm in the context of *stochastic* *optimization*. The class of *stochastic* *optimization* problems…
(more)

Subjects/Keywords: Genetic Algorithms; Stochastic Optimization; Monte Carlo Methods; Time Non-homogenous Markov Process; Taguchi Methods; Signal-to-Noise Ratio; Parameter Design; Multicriterion Optimization; Global Supply Chain Modeling and Optimization; Facility Location

Record Details Similar Records

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

APA (6^{th} Edition):

Ittiwattana, W. (2002). A Method for Simulation Optimization with Applications in Robust Process Design and Locating Supply Chain Operations. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1030366020

Chicago Manual of Style (16^{th} Edition):

Ittiwattana, Waraporn. “A Method for Simulation Optimization with Applications in Robust Process Design and Locating Supply Chain Operations.” 2002. Doctoral Dissertation, The Ohio State University. Accessed December 11, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1030366020.

MLA Handbook (7^{th} Edition):

Ittiwattana, Waraporn. “A Method for Simulation Optimization with Applications in Robust Process Design and Locating Supply Chain Operations.” 2002. Web. 11 Dec 2019.

Vancouver:

Ittiwattana W. A Method for Simulation Optimization with Applications in Robust Process Design and Locating Supply Chain Operations. [Internet] [Doctoral dissertation]. The Ohio State University; 2002. [cited 2019 Dec 11]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1030366020.

Council of Science Editors:

Ittiwattana W. A Method for Simulation Optimization with Applications in Robust Process Design and Locating Supply Chain Operations. [Doctoral Dissertation]. The Ohio State University; 2002. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1030366020

11.
Zheng, Zhi.
* Stochastic* Stefan problems: existence, uniqueness, and modeling of market limit orders.

Degree: PhD, 0439, 2013, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/42335

► In this thesis we study the effect of *stochastic* perturbations on moving boundary value PDE's with Stefan boundary conditions, or Stefan problems, and show the…
(more)

Subjects/Keywords: stochastic partial differential equations (PDEs); moving boundaries; market limit orders; parameter estimation; Maximum-Likelihood Estimator (MLE); Mean-Square Errors (MSE); Akaike information criterion (AIC); investment optimization; dynamic optimization

…Investment *Optimization* via Limit Orders… …In this thesis we study the effect of *stochastic* perturbations on such type of problems… …number of *stochastic* equations of
such kind. We also obtain the space and time regularities of… …defined normed space.
Moreover, based on the nature of the *stochastic* version of the problem, we… …equations, derive *parameter* estimation
schemes using maximum likelihood and least mean-square…

Record Details Similar Records

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

APA (6^{th} Edition):

Zheng, Z. (2013). Stochastic Stefan problems: existence, uniqueness, and modeling of market limit orders. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/42335

Chicago Manual of Style (16^{th} Edition):

Zheng, Zhi. “Stochastic Stefan problems: existence, uniqueness, and modeling of market limit orders.” 2013. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 11, 2019. http://hdl.handle.net/2142/42335.

MLA Handbook (7^{th} Edition):

Zheng, Zhi. “Stochastic Stefan problems: existence, uniqueness, and modeling of market limit orders.” 2013. Web. 11 Dec 2019.

Vancouver:

Zheng Z. Stochastic Stefan problems: existence, uniqueness, and modeling of market limit orders. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2013. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/2142/42335.

Council of Science Editors:

Zheng Z. Stochastic Stefan problems: existence, uniqueness, and modeling of market limit orders. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/42335

12.
Shang, Shen.
* Stochastic* Material Characterization of Heterogeneous Media
with Randomly Distributed Material Properties.

Degree: PhD, Civil Engineering, 2012, University of Akron

URL: http://rave.ohiolink.edu/etdc/view?acc_num=akron1352579058

► In the field of computational mechanics, there has been a very challenging problem, which is the characterization of heterogeneous media with randomly distributed material…
(more)

Subjects/Keywords: Civil Engineering; Engineering; Experiments; Materials Science; Mathematics; stochastic material characterization, random heterogeneous media characterization, material uncertainty, stochastic finite element method, optimization, Karhunen&8211; Lo&232; ve expansion, probabilistic analysis, inverse analysis, parameter estimation, S

…*parameter* estimation methods
applies *optimization* techniques in order to minimize cost functions… …III.
SELF *OPTIMIZATION* INVERSE IDENTIFICATION METHOD ..................... 30
3.1
Self… …Formulation of Objective Function .................................. 39
3.2
*Optimization* Algorithm… …43
IV. A GENERAL PLATFORM FOR *STOCHASTIC* FINITE ELEMENT
SIMULATION… …Formulation of *Stochastic* Finite Element .................................. 59
4.4
Implementation…

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

APA (6^{th} Edition):

Shang, S. (2012). Stochastic Material Characterization of Heterogeneous Media with Randomly Distributed Material Properties. (Doctoral Dissertation). University of Akron. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=akron1352579058

Chicago Manual of Style (16^{th} Edition):

Shang, Shen. “Stochastic Material Characterization of Heterogeneous Media with Randomly Distributed Material Properties.” 2012. Doctoral Dissertation, University of Akron. Accessed December 11, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1352579058.

MLA Handbook (7^{th} Edition):

Shang, Shen. “Stochastic Material Characterization of Heterogeneous Media with Randomly Distributed Material Properties.” 2012. Web. 11 Dec 2019.

Vancouver:

Shang S. Stochastic Material Characterization of Heterogeneous Media with Randomly Distributed Material Properties. [Internet] [Doctoral dissertation]. University of Akron; 2012. [cited 2019 Dec 11]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1352579058.

Council of Science Editors:

Shang S. Stochastic Material Characterization of Heterogeneous Media with Randomly Distributed Material Properties. [Doctoral Dissertation]. University of Akron; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1352579058

13.
Zhang, Junjie.
Single Tree Detection from Airborne Laser Scanning Data: A *Stochastic* Approach.

Degree: PhD, Earth & Space Science, 2015, York University

URL: http://hdl.handle.net/10315/30123

► Characterizing and monitoring forests are of great scientific and managerial interests, such as understanding the global carbon circle, biodiversity conservation and management of natural resources.…
(more)

Subjects/Keywords: Remote sensing; Forestry; Computer engineering; LiDAR; Airborne laser scanning; Forestry; Single tree detection; Individual tree detection; Canopy height model; CHM; Hole-filling; Forest plot simulation; Coniferous forest; Point processes; Marked point processes; Probabilistic model; Stochastic model; Local maxima filtering; Marker-controlled watershed segmentation; Parameter estimation; Maximum likelihood; Logistic regression model; Expectation-Maximization; EM; Energy minimization; Markov Chain Monte Carlo; MCMC; Reversible Jump Markov Chain Monte Carlo; RJMCMC; Prior-guided Markov Chain Monte Carlo; PGMCMC; Simulated annealing; Optimization

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CHAPTER 6 *Parameter* Estimation and Model *Optimization*… …125
Table 6.9. Three *optimization* *parameter* settings for SA to test the performances of MCMC… …probabilistic model for single tree detection, and 4) *parameter* estimation and
model *optimization*… …*Parameter* estimation and model *optimization*
In Chapter 6, we have a further investigation of… …*parameter* estimation and *optimization* methods
of the proposed model.
In the previous chapter, we…

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

APA (6^{th} Edition):

Zhang, J. (2015). Single Tree Detection from Airborne Laser Scanning Data: A Stochastic Approach. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/30123

Chicago Manual of Style (16^{th} Edition):

Zhang, Junjie. “Single Tree Detection from Airborne Laser Scanning Data: A Stochastic Approach.” 2015. Doctoral Dissertation, York University. Accessed December 11, 2019. http://hdl.handle.net/10315/30123.

MLA Handbook (7^{th} Edition):

Zhang, Junjie. “Single Tree Detection from Airborne Laser Scanning Data: A Stochastic Approach.” 2015. Web. 11 Dec 2019.

Vancouver:

Zhang J. Single Tree Detection from Airborne Laser Scanning Data: A Stochastic Approach. [Internet] [Doctoral dissertation]. York University; 2015. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/10315/30123.

Council of Science Editors:

Zhang J. Single Tree Detection from Airborne Laser Scanning Data: A Stochastic Approach. [Doctoral Dissertation]. York University; 2015. Available from: http://hdl.handle.net/10315/30123