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You searched for subject:(stochastic optimization). Showing records 1 – 30 of 749 total matches.

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1. Mercier, Luc H. Amsaa: An Anticipatory Algorithm for Online Stochastic Combinatorial Optimization.

Degree: PhD, Computer Science, 2009, Brown University

 Online stochastic combinatorial optimization problems are problems in which a decision maker is trying to minimize or maximize an objective by making a sequence of… (more)

Subjects/Keywords: stochastic optimization

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APA (6th Edition):

Mercier, L. H. (2009). Amsaa: An Anticipatory Algorithm for Online Stochastic Combinatorial Optimization. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:95/

Chicago Manual of Style (16th Edition):

Mercier, Luc H. “Amsaa: An Anticipatory Algorithm for Online Stochastic Combinatorial Optimization.” 2009. Doctoral Dissertation, Brown University. Accessed July 10, 2020. https://repository.library.brown.edu/studio/item/bdr:95/.

MLA Handbook (7th Edition):

Mercier, Luc H. “Amsaa: An Anticipatory Algorithm for Online Stochastic Combinatorial Optimization.” 2009. Web. 10 Jul 2020.

Vancouver:

Mercier LH. Amsaa: An Anticipatory Algorithm for Online Stochastic Combinatorial Optimization. [Internet] [Doctoral dissertation]. Brown University; 2009. [cited 2020 Jul 10]. Available from: https://repository.library.brown.edu/studio/item/bdr:95/.

Council of Science Editors:

Mercier LH. Amsaa: An Anticipatory Algorithm for Online Stochastic Combinatorial Optimization. [Doctoral Dissertation]. Brown University; 2009. Available from: https://repository.library.brown.edu/studio/item/bdr:95/


Princeton University

2. Perkins, Raymond Theodore. Multistage Stochastic Programming with Parametric Cost Function Approximations .

Degree: PhD, 2018, Princeton University

 A widely used heuristic for solving stochastic optimization problems is to use a deterministic rolling horizon procedure which has been modified to handle uncertainty (e.g.… (more)

Subjects/Keywords: Cost Function Approximations; Stochastic Optimization; Stochastic Programming

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APA (6th Edition):

Perkins, R. T. (2018). Multistage Stochastic Programming with Parametric Cost Function Approximations . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp018c97kt118

Chicago Manual of Style (16th Edition):

Perkins, Raymond Theodore. “Multistage Stochastic Programming with Parametric Cost Function Approximations .” 2018. Doctoral Dissertation, Princeton University. Accessed July 10, 2020. http://arks.princeton.edu/ark:/88435/dsp018c97kt118.

MLA Handbook (7th Edition):

Perkins, Raymond Theodore. “Multistage Stochastic Programming with Parametric Cost Function Approximations .” 2018. Web. 10 Jul 2020.

Vancouver:

Perkins RT. Multistage Stochastic Programming with Parametric Cost Function Approximations . [Internet] [Doctoral dissertation]. Princeton University; 2018. [cited 2020 Jul 10]. Available from: http://arks.princeton.edu/ark:/88435/dsp018c97kt118.

Council of Science Editors:

Perkins RT. Multistage Stochastic Programming with Parametric Cost Function Approximations . [Doctoral Dissertation]. Princeton University; 2018. Available from: http://arks.princeton.edu/ark:/88435/dsp018c97kt118


Texas A&M University

3. Kabli, Mohannad Reda A. Stochastic Programming Model for Fuel Treatment Management.

Degree: 2014, Texas A&M University

 Due to the increased number and intensity of wild fires, the need for solutions that minimize the impact of fire are needed. Fuel treatment is… (more)

Subjects/Keywords: fuel treatment; optimization; stochastic programming

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APA (6th Edition):

Kabli, M. R. A. (2014). Stochastic Programming Model for Fuel Treatment Management. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/152840

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

Chicago Manual of Style (16th Edition):

Kabli, Mohannad Reda A. “Stochastic Programming Model for Fuel Treatment Management.” 2014. Thesis, Texas A&M University. Accessed July 10, 2020. http://hdl.handle.net/1969.1/152840.

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

MLA Handbook (7th Edition):

Kabli, Mohannad Reda A. “Stochastic Programming Model for Fuel Treatment Management.” 2014. Web. 10 Jul 2020.

Vancouver:

Kabli MRA. Stochastic Programming Model for Fuel Treatment Management. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1969.1/152840.

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

Council of Science Editors:

Kabli MRA. Stochastic Programming Model for Fuel Treatment Management. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/152840

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


Mississippi State University

4. Rouhi, Mohammad. TOPOLOGY OPTIMIZATION OF CONTINUUM STRUCTURES USING ELEMENT EXCHANGE METHOD.

Degree: MS, Aerospace Engineering, 2009, Mississippi State University

  In this research, a new zeroth-order (non-gradient based) topology optimization methodology for compliance minimization was developed. It is called the Element Exchange Method (EEM).… (more)

Subjects/Keywords: stochastic; element exchange; topology optimization

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APA (6th Edition):

Rouhi, M. (2009). TOPOLOGY OPTIMIZATION OF CONTINUUM STRUCTURES USING ELEMENT EXCHANGE METHOD. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-04032009-063432/ ;

Chicago Manual of Style (16th Edition):

Rouhi, Mohammad. “TOPOLOGY OPTIMIZATION OF CONTINUUM STRUCTURES USING ELEMENT EXCHANGE METHOD.” 2009. Masters Thesis, Mississippi State University. Accessed July 10, 2020. http://sun.library.msstate.edu/ETD-db/theses/available/etd-04032009-063432/ ;.

MLA Handbook (7th Edition):

Rouhi, Mohammad. “TOPOLOGY OPTIMIZATION OF CONTINUUM STRUCTURES USING ELEMENT EXCHANGE METHOD.” 2009. Web. 10 Jul 2020.

Vancouver:

Rouhi M. TOPOLOGY OPTIMIZATION OF CONTINUUM STRUCTURES USING ELEMENT EXCHANGE METHOD. [Internet] [Masters thesis]. Mississippi State University; 2009. [cited 2020 Jul 10]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04032009-063432/ ;.

Council of Science Editors:

Rouhi M. TOPOLOGY OPTIMIZATION OF CONTINUUM STRUCTURES USING ELEMENT EXCHANGE METHOD. [Masters Thesis]. Mississippi State University; 2009. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04032009-063432/ ;


Oklahoma State University

5. Wang, Yu. Application of Stochastic Control Theory to Hedge Ratio Optimization in Risk Management.

Degree: Department of Mathematics, 2009, Oklahoma State University

 Optimal hedge ratio problem with linear hedging strategy in risk management were introduced by Froot, Scharfstein, and Stein (1993). This thesis extends the idea to… (more)

Subjects/Keywords: hedge; optimization; stochastic control

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APA (6th Edition):

Wang, Y. (2009). Application of Stochastic Control Theory to Hedge Ratio Optimization in Risk Management. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/6833

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

Chicago Manual of Style (16th Edition):

Wang, Yu. “Application of Stochastic Control Theory to Hedge Ratio Optimization in Risk Management.” 2009. Thesis, Oklahoma State University. Accessed July 10, 2020. http://hdl.handle.net/11244/6833.

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

MLA Handbook (7th Edition):

Wang, Yu. “Application of Stochastic Control Theory to Hedge Ratio Optimization in Risk Management.” 2009. Web. 10 Jul 2020.

Vancouver:

Wang Y. Application of Stochastic Control Theory to Hedge Ratio Optimization in Risk Management. [Internet] [Thesis]. Oklahoma State University; 2009. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/11244/6833.

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

Council of Science Editors:

Wang Y. Application of Stochastic Control Theory to Hedge Ratio Optimization in Risk Management. [Thesis]. Oklahoma State University; 2009. Available from: http://hdl.handle.net/11244/6833

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


University of Toronto

6. Miklyukh, Volodymyr. Optimal Inventory Policy Through Dual Sourcing.

Degree: 2017, University of Toronto

We consider a risk-averse firm that utilizes dual-sourcing for perishable or seasonal goods with uncertain customer demand. Using real options theories, we provide two models… (more)

Subjects/Keywords: Inventory Control; Optimization; Stochastic; 0546

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APA (6th Edition):

Miklyukh, V. (2017). Optimal Inventory Policy Through Dual Sourcing. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/79155

Chicago Manual of Style (16th Edition):

Miklyukh, Volodymyr. “Optimal Inventory Policy Through Dual Sourcing.” 2017. Masters Thesis, University of Toronto. Accessed July 10, 2020. http://hdl.handle.net/1807/79155.

MLA Handbook (7th Edition):

Miklyukh, Volodymyr. “Optimal Inventory Policy Through Dual Sourcing.” 2017. Web. 10 Jul 2020.

Vancouver:

Miklyukh V. Optimal Inventory Policy Through Dual Sourcing. [Internet] [Masters thesis]. University of Toronto; 2017. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1807/79155.

Council of Science Editors:

Miklyukh V. Optimal Inventory Policy Through Dual Sourcing. [Masters Thesis]. University of Toronto; 2017. Available from: http://hdl.handle.net/1807/79155


Rutgers University

7. Ninh, Anh Tuan, 1985-. Selected topics in stochastic optimization.

Degree: PhD, Operations Research, 2015, Rutgers University

This report constitutes the Doctoral Dissertation for Anh Ninh and consists of three topics: log-concavity of compound Poisson and general compound distributions, discrete moment problems… (more)

Subjects/Keywords: Mathematical optimization; Stochastic processes

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APA (6th Edition):

Ninh, Anh Tuan, 1. (2015). Selected topics in stochastic optimization. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/47488/

Chicago Manual of Style (16th Edition):

Ninh, Anh Tuan, 1985-. “Selected topics in stochastic optimization.” 2015. Doctoral Dissertation, Rutgers University. Accessed July 10, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/47488/.

MLA Handbook (7th Edition):

Ninh, Anh Tuan, 1985-. “Selected topics in stochastic optimization.” 2015. Web. 10 Jul 2020.

Vancouver:

Ninh, Anh Tuan 1. Selected topics in stochastic optimization. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2020 Jul 10]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47488/.

Council of Science Editors:

Ninh, Anh Tuan 1. Selected topics in stochastic optimization. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47488/


Rutgers University

8. Myndyuk, Olga, 1979-. Numerical methods for probabilistic constrained optimization problem where random variables have degenerate continuous distribution.

Degree: PhD, Operations Research, 2016, Rutgers University

Several probabilistic constrained problems (single commodity stochastic network design problem and water reservoir problem) are formulated and solved by use of different numerical methods. The… (more)

Subjects/Keywords: Stochastic processes; Mathematical optimization

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APA (6th Edition):

Myndyuk, Olga, 1. (2016). Numerical methods for probabilistic constrained optimization problem where random variables have degenerate continuous distribution. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/50102/

Chicago Manual of Style (16th Edition):

Myndyuk, Olga, 1979-. “Numerical methods for probabilistic constrained optimization problem where random variables have degenerate continuous distribution.” 2016. Doctoral Dissertation, Rutgers University. Accessed July 10, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/50102/.

MLA Handbook (7th Edition):

Myndyuk, Olga, 1979-. “Numerical methods for probabilistic constrained optimization problem where random variables have degenerate continuous distribution.” 2016. Web. 10 Jul 2020.

Vancouver:

Myndyuk, Olga 1. Numerical methods for probabilistic constrained optimization problem where random variables have degenerate continuous distribution. [Internet] [Doctoral dissertation]. Rutgers University; 2016. [cited 2020 Jul 10]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/50102/.

Council of Science Editors:

Myndyuk, Olga 1. Numerical methods for probabilistic constrained optimization problem where random variables have degenerate continuous distribution. [Doctoral Dissertation]. Rutgers University; 2016. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/50102/


Rutgers University

9. Chatwattanasiri, Nida, 1983-. Stochastic cost, reliability and maintenance optimization considering uncertain future usage scenarios.

Degree: PhD, Industrial and Systems Engineering, 2015, Rutgers University

A new modeling approach has been developed to optimally design a degradable system structure and maintenance plans for applications exposed to distinct stresses under different… (more)

Subjects/Keywords: Reliability; Mathematical optimization; Stochastic processes

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APA (6th Edition):

Chatwattanasiri, Nida, 1. (2015). Stochastic cost, reliability and maintenance optimization considering uncertain future usage scenarios. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/47335/

Chicago Manual of Style (16th Edition):

Chatwattanasiri, Nida, 1983-. “Stochastic cost, reliability and maintenance optimization considering uncertain future usage scenarios.” 2015. Doctoral Dissertation, Rutgers University. Accessed July 10, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/47335/.

MLA Handbook (7th Edition):

Chatwattanasiri, Nida, 1983-. “Stochastic cost, reliability and maintenance optimization considering uncertain future usage scenarios.” 2015. Web. 10 Jul 2020.

Vancouver:

Chatwattanasiri, Nida 1. Stochastic cost, reliability and maintenance optimization considering uncertain future usage scenarios. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2020 Jul 10]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47335/.

Council of Science Editors:

Chatwattanasiri, Nida 1. Stochastic cost, reliability and maintenance optimization considering uncertain future usage scenarios. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47335/


Baylor University

10. Bai, Wenlei, 1987-. Stochastic dynamic optimal power flow under the variability of renewable energy with modern heuristic optimization techniques.

Degree: PhD, Baylor University. Dept. of Electrical & Computer Engineering., 2017, Baylor University

 With the increasing penetration of renewable energy to power systems, such as wind power, more challenges have been brought to system operations due to the… (more)

Subjects/Keywords: Heuristic techniques. Stochastic optimization.

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APA (6th Edition):

Bai, Wenlei, 1. (2017). Stochastic dynamic optimal power flow under the variability of renewable energy with modern heuristic optimization techniques. (Doctoral Dissertation). Baylor University. Retrieved from http://hdl.handle.net/2104/10137

Chicago Manual of Style (16th Edition):

Bai, Wenlei, 1987-. “Stochastic dynamic optimal power flow under the variability of renewable energy with modern heuristic optimization techniques.” 2017. Doctoral Dissertation, Baylor University. Accessed July 10, 2020. http://hdl.handle.net/2104/10137.

MLA Handbook (7th Edition):

Bai, Wenlei, 1987-. “Stochastic dynamic optimal power flow under the variability of renewable energy with modern heuristic optimization techniques.” 2017. Web. 10 Jul 2020.

Vancouver:

Bai, Wenlei 1. Stochastic dynamic optimal power flow under the variability of renewable energy with modern heuristic optimization techniques. [Internet] [Doctoral dissertation]. Baylor University; 2017. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/2104/10137.

Council of Science Editors:

Bai, Wenlei 1. Stochastic dynamic optimal power flow under the variability of renewable energy with modern heuristic optimization techniques. [Doctoral Dissertation]. Baylor University; 2017. Available from: http://hdl.handle.net/2104/10137


Delft University of Technology

11. Verweijen, L.F. (author). Optimizing Greenhouse Heat Production in Lansingerland: Using Simulated Annealing and Simulation.

Degree: 2016, Delft University of Technology

 Many engineering problems require some objective to be optimized subject to certain constraints. For linear and convex optimization problems, techniques exist that can find the… (more)

Subjects/Keywords: stochastic optimization; simulated annealing

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APA (6th Edition):

Verweijen, L. F. (. (2016). Optimizing Greenhouse Heat Production in Lansingerland: Using Simulated Annealing and Simulation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:40148cf1-8b85-49df-9f5a-55ac257a04f7

Chicago Manual of Style (16th Edition):

Verweijen, L F (author). “Optimizing Greenhouse Heat Production in Lansingerland: Using Simulated Annealing and Simulation.” 2016. Masters Thesis, Delft University of Technology. Accessed July 10, 2020. http://resolver.tudelft.nl/uuid:40148cf1-8b85-49df-9f5a-55ac257a04f7.

MLA Handbook (7th Edition):

Verweijen, L F (author). “Optimizing Greenhouse Heat Production in Lansingerland: Using Simulated Annealing and Simulation.” 2016. Web. 10 Jul 2020.

Vancouver:

Verweijen LF(. Optimizing Greenhouse Heat Production in Lansingerland: Using Simulated Annealing and Simulation. [Internet] [Masters thesis]. Delft University of Technology; 2016. [cited 2020 Jul 10]. Available from: http://resolver.tudelft.nl/uuid:40148cf1-8b85-49df-9f5a-55ac257a04f7.

Council of Science Editors:

Verweijen LF(. Optimizing Greenhouse Heat Production in Lansingerland: Using Simulated Annealing and Simulation. [Masters Thesis]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:40148cf1-8b85-49df-9f5a-55ac257a04f7


University of Southern California

12. Li, Chih-ping. Stochastic optimization over parallel queues: channel-blind scheduling, restless bandit, and optimal delay.

Degree: PhD, Electrical Engineering, 2011, University of Southern California

 This dissertation addresses several optimal stochastic scheduling problems that arise in partially observable wireless networks and multi-class queueing systems. They are single-hop network control problems… (more)

Subjects/Keywords: stochastic network optimization; queueing theory

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APA (6th Edition):

Li, C. (2011). Stochastic optimization over parallel queues: channel-blind scheduling, restless bandit, and optimal delay. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/159793/rec/6078

Chicago Manual of Style (16th Edition):

Li, Chih-ping. “Stochastic optimization over parallel queues: channel-blind scheduling, restless bandit, and optimal delay.” 2011. Doctoral Dissertation, University of Southern California. Accessed July 10, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/159793/rec/6078.

MLA Handbook (7th Edition):

Li, Chih-ping. “Stochastic optimization over parallel queues: channel-blind scheduling, restless bandit, and optimal delay.” 2011. Web. 10 Jul 2020.

Vancouver:

Li C. Stochastic optimization over parallel queues: channel-blind scheduling, restless bandit, and optimal delay. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Jul 10]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/159793/rec/6078.

Council of Science Editors:

Li C. Stochastic optimization over parallel queues: channel-blind scheduling, restless bandit, and optimal delay. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/159793/rec/6078


University of Sydney

13. Liu, Liu. Stochastic Optimization in Machine Learning .

Degree: 2019, University of Sydney

Stochastic optimization has received extensive attention in recent years due to their extremely potential for solving the large-scale optimization problem. However, the classical optimization algorithm… (more)

Subjects/Keywords: stochastic optimization; stochastic composition optimization; variance reduction; zeoth-order optimization; trust-region method

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APA (6th Edition):

Liu, L. (2019). Stochastic Optimization in Machine Learning . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/19982

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

Chicago Manual of Style (16th Edition):

Liu, Liu. “Stochastic Optimization in Machine Learning .” 2019. Thesis, University of Sydney. Accessed July 10, 2020. http://hdl.handle.net/2123/19982.

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

MLA Handbook (7th Edition):

Liu, Liu. “Stochastic Optimization in Machine Learning .” 2019. Web. 10 Jul 2020.

Vancouver:

Liu L. Stochastic Optimization in Machine Learning . [Internet] [Thesis]. University of Sydney; 2019. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/2123/19982.

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

Council of Science Editors:

Liu L. Stochastic Optimization in Machine Learning . [Thesis]. University of Sydney; 2019. Available from: http://hdl.handle.net/2123/19982

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

14. Linhares Rodrigues, Andre. Approximation Algorithms for Distributionally Robust Stochastic Optimization.

Degree: 2019, University of Waterloo

 Two-stage stochastic optimization is a widely used framework for modeling uncertainty, where we have a probability distribution over possible realizations of the data, called scenarios,… (more)

Subjects/Keywords: approximation algorithms; stochastic optimization; discrete optimization; convex optimization

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Linhares Rodrigues, A. (2019). Approximation Algorithms for Distributionally Robust Stochastic Optimization. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14639

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

Chicago Manual of Style (16th Edition):

Linhares Rodrigues, Andre. “Approximation Algorithms for Distributionally Robust Stochastic Optimization.” 2019. Thesis, University of Waterloo. Accessed July 10, 2020. http://hdl.handle.net/10012/14639.

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

MLA Handbook (7th Edition):

Linhares Rodrigues, Andre. “Approximation Algorithms for Distributionally Robust Stochastic Optimization.” 2019. Web. 10 Jul 2020.

Vancouver:

Linhares Rodrigues A. Approximation Algorithms for Distributionally Robust Stochastic Optimization. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/10012/14639.

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

Council of Science Editors:

Linhares Rodrigues A. Approximation Algorithms for Distributionally Robust Stochastic Optimization. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/14639

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


Princeton University

15. Aboagye, Nana. Knowledge gradient for expensive locally quadratic functions and stochastic optimization of aid allocation .

Degree: PhD, 2018, Princeton University

 In this dissertation, we study the behavior of value of information policies in the presence of a locally quadratic belief model. We show that the… (more)

Subjects/Keywords: Bayesian optimization; derivative-free optimization; Knowledge gradient; Locally parametric; Stochastic optimization

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APA (6th Edition):

Aboagye, N. (2018). Knowledge gradient for expensive locally quadratic functions and stochastic optimization of aid allocation . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01np193c94m

Chicago Manual of Style (16th Edition):

Aboagye, Nana. “Knowledge gradient for expensive locally quadratic functions and stochastic optimization of aid allocation .” 2018. Doctoral Dissertation, Princeton University. Accessed July 10, 2020. http://arks.princeton.edu/ark:/88435/dsp01np193c94m.

MLA Handbook (7th Edition):

Aboagye, Nana. “Knowledge gradient for expensive locally quadratic functions and stochastic optimization of aid allocation .” 2018. Web. 10 Jul 2020.

Vancouver:

Aboagye N. Knowledge gradient for expensive locally quadratic functions and stochastic optimization of aid allocation . [Internet] [Doctoral dissertation]. Princeton University; 2018. [cited 2020 Jul 10]. Available from: http://arks.princeton.edu/ark:/88435/dsp01np193c94m.

Council of Science Editors:

Aboagye N. Knowledge gradient for expensive locally quadratic functions and stochastic optimization of aid allocation . [Doctoral Dissertation]. Princeton University; 2018. Available from: http://arks.princeton.edu/ark:/88435/dsp01np193c94m


Anna University

16. Udhayakumar, A. Approaches for some special classes of stochastic optimization problems; -.

Degree: Science and Humanities, 2014, Anna University

This research work is an attempt to study efficient ways of solving newlinesome special classes of stochastic optimization problems The research newlineconcerns the development of… (more)

Subjects/Keywords: optimization problems; science and humanities; stochastic

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APA (6th Edition):

Udhayakumar, A. (2014). Approaches for some special classes of stochastic optimization problems; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/27450

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

Chicago Manual of Style (16th Edition):

Udhayakumar, A. “Approaches for some special classes of stochastic optimization problems; -.” 2014. Thesis, Anna University. Accessed July 10, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/27450.

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

MLA Handbook (7th Edition):

Udhayakumar, A. “Approaches for some special classes of stochastic optimization problems; -.” 2014. Web. 10 Jul 2020.

Vancouver:

Udhayakumar A. Approaches for some special classes of stochastic optimization problems; -. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Jul 10]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/27450.

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

Council of Science Editors:

Udhayakumar A. Approaches for some special classes of stochastic optimization problems; -. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/27450

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


Rochester Institute of Technology

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

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

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

APA (6th 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 (16th Edition):

Saripalli, Surya. “A Dynamic inventory optimization method applied to printer fleet management.” 2011. Thesis, Rochester Institute of Technology. Accessed July 10, 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 (7th Edition):

Saripalli, Surya. “A Dynamic inventory optimization method applied to printer fleet management.” 2011. Web. 10 Jul 2020.

Vancouver:

Saripalli S. A Dynamic inventory optimization method applied to printer fleet management. [Internet] [Thesis]. Rochester Institute of Technology; 2011. [cited 2020 Jul 10]. Available from: https://scholarworks.rit.edu/theses/5696.

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

Council of Science Editors:

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

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


Cornell University

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

Degree: 2013, Cornell University

 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)

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

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APA (6th 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 (16th Edition):

Waeber, Rolf. “Probabilistic Bisection Search For Stochastic Root-Finding .” 2013. Thesis, Cornell University. Accessed July 10, 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 (7th Edition):

Waeber, Rolf. “Probabilistic Bisection Search For Stochastic Root-Finding .” 2013. Web. 10 Jul 2020.

Vancouver:

Waeber R. Probabilistic Bisection Search For Stochastic Root-Finding . [Internet] [Thesis]. Cornell University; 2013. [cited 2020 Jul 10]. 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

19. Lamontagne, Jonathan. Representation Of Uncertainty And Corridor Dp For Hydropower Optimization .

Degree: 2015, Cornell University

 This thesis focuses on optimization techniques for multi-reservoir hydropower systems operation, with a particular concern with the representation and impact of uncertainty. The thesis reports… (more)

Subjects/Keywords: Dynamic Programming; Stochastic Optimization; Uncertainty Analysis

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APA (6th Edition):

Lamontagne, J. (2015). Representation Of Uncertainty And Corridor Dp For Hydropower Optimization . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/39482

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

Chicago Manual of Style (16th Edition):

Lamontagne, Jonathan. “Representation Of Uncertainty And Corridor Dp For Hydropower Optimization .” 2015. Thesis, Cornell University. Accessed July 10, 2020. http://hdl.handle.net/1813/39482.

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

MLA Handbook (7th Edition):

Lamontagne, Jonathan. “Representation Of Uncertainty And Corridor Dp For Hydropower Optimization .” 2015. Web. 10 Jul 2020.

Vancouver:

Lamontagne J. Representation Of Uncertainty And Corridor Dp For Hydropower Optimization . [Internet] [Thesis]. Cornell University; 2015. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1813/39482.

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

Council of Science Editors:

Lamontagne J. Representation Of Uncertainty And Corridor Dp For Hydropower Optimization . [Thesis]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/39482

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


University of Toronto

20. Trusevych, Stephan Alexander. Stochastic Integer Decision Making in Operations and Finance.

Degree: 2015, University of Toronto

Two different stochastic decision models are developed for incorporating uncertainty and risk aversion into operational and financial decision making. First, a location decision model is… (more)

Subjects/Keywords: Integer; Optimization; Reliability; Spares; Stochastic; Transformer; 0546

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

APA (6th Edition):

Trusevych, S. A. (2015). Stochastic Integer Decision Making in Operations and Finance. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/70453

Chicago Manual of Style (16th Edition):

Trusevych, Stephan Alexander. “Stochastic Integer Decision Making in Operations and Finance.” 2015. Masters Thesis, University of Toronto. Accessed July 10, 2020. http://hdl.handle.net/1807/70453.

MLA Handbook (7th Edition):

Trusevych, Stephan Alexander. “Stochastic Integer Decision Making in Operations and Finance.” 2015. Web. 10 Jul 2020.

Vancouver:

Trusevych SA. Stochastic Integer Decision Making in Operations and Finance. [Internet] [Masters thesis]. University of Toronto; 2015. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1807/70453.

Council of Science Editors:

Trusevych SA. Stochastic Integer Decision Making in Operations and Finance. [Masters Thesis]. University of Toronto; 2015. Available from: http://hdl.handle.net/1807/70453


George Mason University

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

Degree: 2014, George Mason University

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

APA (6th 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 (16th Edition):

Farley, Susan. “Top- K Algorithms for SimQL: A Decision Guidance Query Language Based on Stochastic Simulation .” 2014. Thesis, George Mason University. Accessed July 10, 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 (7th Edition):

Farley, Susan. “Top- K Algorithms for SimQL: A Decision Guidance Query Language Based on Stochastic Simulation .” 2014. Web. 10 Jul 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 Jul 10]. 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 Washington

22. Salim, Bob Adiputra. Stochastic Optimization and Subgroup Selection.

Degree: PhD, 2015, University of Washington

 An important area in statistics is that of experimental or study design. The most typical problem is that of finding the required sample size that… (more)

Subjects/Keywords: Decision Theory; Stochastic Optimization; Subgroup; Biostatistics; biostatistics

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APA (6th Edition):

Salim, B. A. (2015). Stochastic Optimization and Subgroup Selection. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/33615

Chicago Manual of Style (16th Edition):

Salim, Bob Adiputra. “Stochastic Optimization and Subgroup Selection.” 2015. Doctoral Dissertation, University of Washington. Accessed July 10, 2020. http://hdl.handle.net/1773/33615.

MLA Handbook (7th Edition):

Salim, Bob Adiputra. “Stochastic Optimization and Subgroup Selection.” 2015. Web. 10 Jul 2020.

Vancouver:

Salim BA. Stochastic Optimization and Subgroup Selection. [Internet] [Doctoral dissertation]. University of Washington; 2015. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1773/33615.

Council of Science Editors:

Salim BA. Stochastic Optimization and Subgroup Selection. [Doctoral Dissertation]. University of Washington; 2015. Available from: http://hdl.handle.net/1773/33615


Delft University of Technology

23. Sa, C.A.A. (author). Robust fleet planning under stochastic demand.

Degree: 2016, Delft University of Technology

The research objective of this thesis is to develop an innovative airline fleet planning concept that is capable to consider the long-term stochastic nature of… (more)

Subjects/Keywords: airline fleet planning; stochastic demand; optimization

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

APA (6th Edition):

Sa, C. A. A. (. (2016). Robust fleet planning under stochastic demand. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:13fd72f6-946b-4fc1-bcfd-ee1d737abe85

Chicago Manual of Style (16th Edition):

Sa, C A A (author). “Robust fleet planning under stochastic demand.” 2016. Masters Thesis, Delft University of Technology. Accessed July 10, 2020. http://resolver.tudelft.nl/uuid:13fd72f6-946b-4fc1-bcfd-ee1d737abe85.

MLA Handbook (7th Edition):

Sa, C A A (author). “Robust fleet planning under stochastic demand.” 2016. Web. 10 Jul 2020.

Vancouver:

Sa CAA(. Robust fleet planning under stochastic demand. [Internet] [Masters thesis]. Delft University of Technology; 2016. [cited 2020 Jul 10]. Available from: http://resolver.tudelft.nl/uuid:13fd72f6-946b-4fc1-bcfd-ee1d737abe85.

Council of Science Editors:

Sa CAA(. Robust fleet planning under stochastic demand. [Masters Thesis]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:13fd72f6-946b-4fc1-bcfd-ee1d737abe85


University of Ontario Institute of Technology

24. Amirnavaei, Fatemeh. Wireless transmission with energy harvesting and storage.

Degree: 2017, University of Ontario Institute of Technology

 In this dissertation, online power control strategies are proposed for wireless communication systems equipped with energy harvesting devices and finite-capacity batteries. The methods are proposed… (more)

Subjects/Keywords: Energy harvesting; Online policy; Stochastic optimization; Wireless

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

APA (6th Edition):

Amirnavaei, F. (2017). Wireless transmission with energy harvesting and storage. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/904

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

Chicago Manual of Style (16th Edition):

Amirnavaei, Fatemeh. “Wireless transmission with energy harvesting and storage.” 2017. Thesis, University of Ontario Institute of Technology. Accessed July 10, 2020. http://hdl.handle.net/10155/904.

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

MLA Handbook (7th Edition):

Amirnavaei, Fatemeh. “Wireless transmission with energy harvesting and storage.” 2017. Web. 10 Jul 2020.

Vancouver:

Amirnavaei F. Wireless transmission with energy harvesting and storage. [Internet] [Thesis]. University of Ontario Institute of Technology; 2017. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/10155/904.

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

Council of Science Editors:

Amirnavaei F. Wireless transmission with energy harvesting and storage. [Thesis]. University of Ontario Institute of Technology; 2017. Available from: http://hdl.handle.net/10155/904

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


Duke University

25. Xia, Ruofan. Stochastic Modeling of Modern Storage Systems .

Degree: 2015, Duke University

  Storage systems play a vital part in modern IT systems. As the volume of data grows explosively and greater requirement on storage performance and… (more)

Subjects/Keywords: Computer science; Optimization; Stochastic Modeling; Storage System

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APA (6th Edition):

Xia, R. (2015). Stochastic Modeling of Modern Storage Systems . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/11333

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

Chicago Manual of Style (16th Edition):

Xia, Ruofan. “Stochastic Modeling of Modern Storage Systems .” 2015. Thesis, Duke University. Accessed July 10, 2020. http://hdl.handle.net/10161/11333.

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

MLA Handbook (7th Edition):

Xia, Ruofan. “Stochastic Modeling of Modern Storage Systems .” 2015. Web. 10 Jul 2020.

Vancouver:

Xia R. Stochastic Modeling of Modern Storage Systems . [Internet] [Thesis]. Duke University; 2015. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/10161/11333.

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

Council of Science Editors:

Xia R. Stochastic Modeling of Modern Storage Systems . [Thesis]. Duke University; 2015. Available from: http://hdl.handle.net/10161/11333

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


University of Edinburgh

26. Schulze, Tim. Stochastic programming for hydro-thermal unit commitment.

Degree: PhD, 2015, University of Edinburgh

 In recent years the deregulation of energy markets and expansion of volatile renewable energy supplies has triggered an increased interest in stochastic optimization models for… (more)

Subjects/Keywords: 519.6; stochastic programming; optimization; unit commitment

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APA (6th Edition):

Schulze, T. (2015). Stochastic programming for hydro-thermal unit commitment. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/15775

Chicago Manual of Style (16th Edition):

Schulze, Tim. “Stochastic programming for hydro-thermal unit commitment.” 2015. Doctoral Dissertation, University of Edinburgh. Accessed July 10, 2020. http://hdl.handle.net/1842/15775.

MLA Handbook (7th Edition):

Schulze, Tim. “Stochastic programming for hydro-thermal unit commitment.” 2015. Web. 10 Jul 2020.

Vancouver:

Schulze T. Stochastic programming for hydro-thermal unit commitment. [Internet] [Doctoral dissertation]. University of Edinburgh; 2015. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1842/15775.

Council of Science Editors:

Schulze T. Stochastic programming for hydro-thermal unit commitment. [Doctoral Dissertation]. University of Edinburgh; 2015. Available from: http://hdl.handle.net/1842/15775


Colorado School of Mines

27. Kozak, David A. Iterative stochastic optimization for large-scale machine learning and statistical inverse problems.

Degree: PhD, Applied Mathematics and Statistics, 2020, Colorado School of Mines

 The twentieth century saw mathematical modeling transition from an intellectual pursuit to an invaluable tool for governments and other large organizations, enabling previously unimaginable feats… (more)

Subjects/Keywords: large-scale; optimization; iterative; stochastic; machine learning

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

APA (6th Edition):

Kozak, D. A. (2020). Iterative stochastic optimization for large-scale machine learning and statistical inverse problems. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/174167

Chicago Manual of Style (16th Edition):

Kozak, David A. “Iterative stochastic optimization for large-scale machine learning and statistical inverse problems.” 2020. Doctoral Dissertation, Colorado School of Mines. Accessed July 10, 2020. http://hdl.handle.net/11124/174167.

MLA Handbook (7th Edition):

Kozak, David A. “Iterative stochastic optimization for large-scale machine learning and statistical inverse problems.” 2020. Web. 10 Jul 2020.

Vancouver:

Kozak DA. Iterative stochastic optimization for large-scale machine learning and statistical inverse problems. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2020. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/11124/174167.

Council of Science Editors:

Kozak DA. Iterative stochastic optimization for large-scale machine learning and statistical inverse problems. [Doctoral Dissertation]. Colorado School of Mines; 2020. Available from: http://hdl.handle.net/11124/174167


Virginia Tech

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

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

 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 (6th 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 (16th Edition):

Chen, Minghan. “Stochastic Modeling and Simulation of Multiscale Biochemical Systems.” 2019. Doctoral Dissertation, Virginia Tech. Accessed July 10, 2020. http://hdl.handle.net/10919/90898.

MLA Handbook (7th Edition):

Chen, Minghan. “Stochastic Modeling and Simulation of Multiscale Biochemical Systems.” 2019. Web. 10 Jul 2020.

Vancouver:

Chen M. Stochastic Modeling and Simulation of Multiscale Biochemical Systems. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2020 Jul 10]. 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


Indian Institute of Science

29. Joseph, Ajin George. Optimization Algorithms for Deterministic, Stochastic and Reinforcement Learning Settings.

Degree: 2017, Indian Institute of Science

Optimization is a very important field with diverse applications in physical, social and biological sciences and in various areas of engineering. It appears widely in… (more)

Subjects/Keywords: Optimization Algorithms; Reinforcement Learning; Machine Learning; Markov Decision Process; Stochastic Approximation Algorithm; Stochastic Optimization; Cross Entropy Method; Stochastic Global Optimization; Cross Entropy Optimization Method; Quantile Estimation; Continuous Optimization; Computer Science

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APA (6th Edition):

Joseph, A. G. (2017). Optimization Algorithms for Deterministic, Stochastic and Reinforcement Learning Settings. (Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ernet.in/2005/3645 ; http://etd.iisc.ernet.in/abstracts/4515/G28470-Abs.pdf

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

Chicago Manual of Style (16th Edition):

Joseph, Ajin George. “Optimization Algorithms for Deterministic, Stochastic and Reinforcement Learning Settings.” 2017. Thesis, Indian Institute of Science. Accessed July 10, 2020. http://etd.iisc.ernet.in/2005/3645 ; http://etd.iisc.ernet.in/abstracts/4515/G28470-Abs.pdf.

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

MLA Handbook (7th Edition):

Joseph, Ajin George. “Optimization Algorithms for Deterministic, Stochastic and Reinforcement Learning Settings.” 2017. Web. 10 Jul 2020.

Vancouver:

Joseph AG. Optimization Algorithms for Deterministic, Stochastic and Reinforcement Learning Settings. [Internet] [Thesis]. Indian Institute of Science; 2017. [cited 2020 Jul 10]. Available from: http://etd.iisc.ernet.in/2005/3645 ; http://etd.iisc.ernet.in/abstracts/4515/G28470-Abs.pdf.

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

Council of Science Editors:

Joseph AG. Optimization Algorithms for Deterministic, Stochastic and Reinforcement Learning Settings. [Thesis]. Indian Institute of Science; 2017. Available from: http://etd.iisc.ernet.in/2005/3645 ; http://etd.iisc.ernet.in/abstracts/4515/G28470-Abs.pdf

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


University of Arizona

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

Degree: 2012, University of Arizona

 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)

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

APA (6th 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 (16th Edition):

Zhou, Zhihong. “Multistage Stochastic Decomposition and its Applications .” 2012. Doctoral Dissertation, University of Arizona. Accessed July 10, 2020. http://hdl.handle.net/10150/222892.

MLA Handbook (7th Edition):

Zhou, Zhihong. “Multistage Stochastic Decomposition and its Applications .” 2012. Web. 10 Jul 2020.

Vancouver:

Zhou Z. Multistage Stochastic Decomposition and its Applications . [Internet] [Doctoral dissertation]. University of Arizona; 2012. [cited 2020 Jul 10]. 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

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