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You searched for subject:(Stochastic optimization). Showing records 1 – 30 of 830 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 March 07, 2021. 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. 07 Mar 2021.

Vancouver:

Mercier LH. Amsaa: An Anticipatory Algorithm for Online Stochastic Combinatorial Optimization. [Internet] [Doctoral dissertation]. Brown University; 2009. [cited 2021 Mar 07]. 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/


University of New South Wales

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

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

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

Subjects/Keywords: Stochastic optimization; Simulation-assisted optimization

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

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

MLA Handbook (7th Edition):

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

Vancouver:

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

Council of Science Editors:

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


Penn State University

3. Jalilzadeh, Afrooz. Variance-reduced First-Order Methods for Convex Stochastic Optimization and Monotone Stochastic Variational Inequality Problems.

Degree: 2020, Penn State University

Optimization problems with expectation-valued objectives are afflicted by a difficulty in that the expectation of neither the objective nor the gradient can be evaluated in… (more)

Subjects/Keywords: Stochastic Optimization; Convex Optimization; Stochastic Approximation; Nonsmooth Optimization; Stochastic Variational Inequality

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APA (6th Edition):

Jalilzadeh, A. (2020). Variance-reduced First-Order Methods for Convex Stochastic Optimization and Monotone Stochastic Variational Inequality Problems. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/17968azj5286

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):

Jalilzadeh, Afrooz. “Variance-reduced First-Order Methods for Convex Stochastic Optimization and Monotone Stochastic Variational Inequality Problems.” 2020. Thesis, Penn State University. Accessed March 07, 2021. https://submit-etda.libraries.psu.edu/catalog/17968azj5286.

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

MLA Handbook (7th Edition):

Jalilzadeh, Afrooz. “Variance-reduced First-Order Methods for Convex Stochastic Optimization and Monotone Stochastic Variational Inequality Problems.” 2020. Web. 07 Mar 2021.

Vancouver:

Jalilzadeh A. Variance-reduced First-Order Methods for Convex Stochastic Optimization and Monotone Stochastic Variational Inequality Problems. [Internet] [Thesis]. Penn State University; 2020. [cited 2021 Mar 07]. Available from: https://submit-etda.libraries.psu.edu/catalog/17968azj5286.

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

Council of Science Editors:

Jalilzadeh A. Variance-reduced First-Order Methods for Convex Stochastic Optimization and Monotone Stochastic Variational Inequality Problems. [Thesis]. Penn State University; 2020. Available from: https://submit-etda.libraries.psu.edu/catalog/17968azj5286

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


Princeton University

4. 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 March 07, 2021. http://arks.princeton.edu/ark:/88435/dsp018c97kt118.

MLA Handbook (7th Edition):

Perkins, Raymond Theodore. “Multistage Stochastic Programming with Parametric Cost Function Approximations .” 2018. Web. 07 Mar 2021.

Vancouver:

Perkins RT. Multistage Stochastic Programming with Parametric Cost Function Approximations . [Internet] [Doctoral dissertation]. Princeton University; 2018. [cited 2021 Mar 07]. 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

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

Degree: MS, Industrial and Systems Engineering, 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. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/152840

Chicago Manual of Style (16th Edition):

Kabli, Mohannad Reda A. “Stochastic Programming Model for Fuel Treatment Management.” 2014. Masters Thesis, Texas A&M University. Accessed March 07, 2021. http://hdl.handle.net/1969.1/152840.

MLA Handbook (7th Edition):

Kabli, Mohannad Reda A. “Stochastic Programming Model for Fuel Treatment Management.” 2014. Web. 07 Mar 2021.

Vancouver:

Kabli MRA. Stochastic Programming Model for Fuel Treatment Management. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1969.1/152840.

Council of Science Editors:

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


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 March 07, 2021. http://hdl.handle.net/1807/79155.

MLA Handbook (7th Edition):

Miklyukh, Volodymyr. “Optimal Inventory Policy Through Dual Sourcing.” 2017. Web. 07 Mar 2021.

Vancouver:

Miklyukh V. Optimal Inventory Policy Through Dual Sourcing. [Internet] [Masters thesis]. University of Toronto; 2017. [cited 2021 Mar 07]. 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


Baylor University

7. 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 March 07, 2021. 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. 07 Mar 2021.

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 2021 Mar 07]. 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

8. 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 March 07, 2021. 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. 07 Mar 2021.

Vancouver:

Verweijen LF(. Optimizing Greenhouse Heat Production in Lansingerland: Using Simulated Annealing and Simulation. [Internet] [Masters thesis]. Delft University of Technology; 2016. [cited 2021 Mar 07]. 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

9. 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 March 07, 2021. 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. 07 Mar 2021.

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 2021 Mar 07]. 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


Rutgers University

10. 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 March 07, 2021. 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. 07 Mar 2021.

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 2021 Mar 07]. 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

11. 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 March 07, 2021. 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. 07 Mar 2021.

Vancouver:

Chatwattanasiri, Nida 1. Stochastic cost, reliability and maintenance optimization considering uncertain future usage scenarios. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2021 Mar 07]. 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/


Rutgers University

12. 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 March 07, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/47488/.

MLA Handbook (7th Edition):

Ninh, Anh Tuan, 1985-. “Selected topics in stochastic optimization.” 2015. Web. 07 Mar 2021.

Vancouver:

Ninh, Anh Tuan 1. Selected topics in stochastic optimization. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2021 Mar 07]. 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/


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 March 07, 2021. 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. 07 Mar 2021.

Vancouver:

Liu L. Stochastic Optimization in Machine Learning . [Internet] [Thesis]. University of Sydney; 2019. [cited 2021 Mar 07]. 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 March 07, 2021. 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. 07 Mar 2021.

Vancouver:

Linhares Rodrigues A. Approximation Algorithms for Distributionally Robust Stochastic Optimization. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2021 Mar 07]. 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 March 07, 2021. 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. 07 Mar 2021.

Vancouver:

Aboagye N. Knowledge gradient for expensive locally quadratic functions and stochastic optimization of aid allocation . [Internet] [Doctoral dissertation]. Princeton University; 2018. [cited 2021 Mar 07]. 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


Lehigh University

16. Tahernejad, Sahar. Two-stage Mixed Integer Stochastic Bilevel Linear Optimization.

Degree: PhD, Industrial Engineering, 2019, Lehigh University

This dissertation is concerned with a special case of multistage optimization problems that unifies the multilevel and multistage stochastic optimization classes. We focus on the cases with two stages that are referred to as two-stage mixed integer stocha Advisors/Committee Members: Theodore K. Ralphs.

Subjects/Keywords: Bilevel Optimization; Mixed Integer Optimization; Stochastic Optimization; Industrial Engineering

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APA (6th Edition):

Tahernejad, S. (2019). Two-stage Mixed Integer Stochastic Bilevel Linear Optimization. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/5796

Chicago Manual of Style (16th Edition):

Tahernejad, Sahar. “Two-stage Mixed Integer Stochastic Bilevel Linear Optimization.” 2019. Doctoral Dissertation, Lehigh University. Accessed March 07, 2021. https://preserve.lehigh.edu/etd/5796.

MLA Handbook (7th Edition):

Tahernejad, Sahar. “Two-stage Mixed Integer Stochastic Bilevel Linear Optimization.” 2019. Web. 07 Mar 2021.

Vancouver:

Tahernejad S. Two-stage Mixed Integer Stochastic Bilevel Linear Optimization. [Internet] [Doctoral dissertation]. Lehigh University; 2019. [cited 2021 Mar 07]. Available from: https://preserve.lehigh.edu/etd/5796.

Council of Science Editors:

Tahernejad S. Two-stage Mixed Integer Stochastic Bilevel Linear Optimization. [Doctoral Dissertation]. Lehigh University; 2019. Available from: https://preserve.lehigh.edu/etd/5796


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 (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 March 07, 2021. https://scholarworks.rit.edu/theses/5696.

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

MLA Handbook (7th Edition):

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

Vancouver:

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

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

Council of Science Editors:

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

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

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

Degree: PhD, Civil and Environmental Engineering, 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. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/39482

Chicago Manual of Style (16th Edition):

Lamontagne, Jonathan. “Representation Of Uncertainty And Corridor Dp For Hydropower Optimization.” 2015. Doctoral Dissertation, Cornell University. Accessed March 07, 2021. http://hdl.handle.net/1813/39482.

MLA Handbook (7th Edition):

Lamontagne, Jonathan. “Representation Of Uncertainty And Corridor Dp For Hydropower Optimization.” 2015. Web. 07 Mar 2021.

Vancouver:

Lamontagne J. Representation Of Uncertainty And Corridor Dp For Hydropower Optimization. [Internet] [Doctoral dissertation]. Cornell University; 2015. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1813/39482.

Council of Science Editors:

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


Cornell University

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

Degree: PhD, Operations Research, 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. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/33929

Chicago Manual of Style (16th Edition):

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

MLA Handbook (7th Edition):

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

Vancouver:

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

Council of Science Editors:

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


Anna University

20. 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 March 07, 2021. 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. 07 Mar 2021.

Vancouver:

Udhayakumar A. Approaches for some special classes of stochastic optimization problems; -. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Mar 07]. 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


Penn State University

21. Wallach, Emmanuelle Janet. Stochastic post-processing for topology design and capacity assignment on a multi-class network with guarantees on robustness and Quality Of Service.

Degree: 2012, Penn State University

 This thesis considers a domain in the Internet and proposes a strategic problem of designing its network. In particular, an optimization problem is formulated and… (more)

Subjects/Keywords: stochastic optimization; telecommunications network design; Qual

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APA (6th Edition):

Wallach, E. J. (2012). Stochastic post-processing for topology design and capacity assignment on a multi-class network with guarantees on robustness and Quality Of Service. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15183

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):

Wallach, Emmanuelle Janet. “Stochastic post-processing for topology design and capacity assignment on a multi-class network with guarantees on robustness and Quality Of Service.” 2012. Thesis, Penn State University. Accessed March 07, 2021. https://submit-etda.libraries.psu.edu/catalog/15183.

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

MLA Handbook (7th Edition):

Wallach, Emmanuelle Janet. “Stochastic post-processing for topology design and capacity assignment on a multi-class network with guarantees on robustness and Quality Of Service.” 2012. Web. 07 Mar 2021.

Vancouver:

Wallach EJ. Stochastic post-processing for topology design and capacity assignment on a multi-class network with guarantees on robustness and Quality Of Service. [Internet] [Thesis]. Penn State University; 2012. [cited 2021 Mar 07]. Available from: https://submit-etda.libraries.psu.edu/catalog/15183.

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

Council of Science Editors:

Wallach EJ. Stochastic post-processing for topology design and capacity assignment on a multi-class network with guarantees on robustness and Quality Of Service. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/15183

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


University of Toronto

22. 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 (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 March 07, 2021. http://hdl.handle.net/1807/70453.

MLA Handbook (7th Edition):

Trusevych, Stephan Alexander. “Stochastic Integer Decision Making in Operations and Finance.” 2015. Web. 07 Mar 2021.

Vancouver:

Trusevych SA. Stochastic Integer Decision Making in Operations and Finance. [Internet] [Masters thesis]. University of Toronto; 2015. [cited 2021 Mar 07]. 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

23. 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 (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 March 07, 2021. http://hdl.handle.net/1920/9073.

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

MLA Handbook (7th Edition):

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

Vancouver:

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

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

Council of Science Editors:

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

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


University of Washington

24. 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 March 07, 2021. http://hdl.handle.net/1773/33615.

MLA Handbook (7th Edition):

Salim, Bob Adiputra. “Stochastic Optimization and Subgroup Selection.” 2015. Web. 07 Mar 2021.

Vancouver:

Salim BA. Stochastic Optimization and Subgroup Selection. [Internet] [Doctoral dissertation]. University of Washington; 2015. [cited 2021 Mar 07]. 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

25. 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 (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 March 07, 2021. 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. 07 Mar 2021.

Vancouver:

Sa CAA(. Robust fleet planning under stochastic demand. [Internet] [Masters thesis]. Delft University of Technology; 2016. [cited 2021 Mar 07]. 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

26. 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 (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 March 07, 2021. 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. 07 Mar 2021.

Vancouver:

Amirnavaei F. Wireless transmission with energy harvesting and storage. [Internet] [Thesis]. University of Ontario Institute of Technology; 2017. [cited 2021 Mar 07]. 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

27. 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 March 07, 2021. 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. 07 Mar 2021.

Vancouver:

Xia R. Stochastic Modeling of Modern Storage Systems . [Internet] [Thesis]. Duke University; 2015. [cited 2021 Mar 07]. 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

28. 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 March 07, 2021. http://hdl.handle.net/1842/15775.

MLA Handbook (7th Edition):

Schulze, Tim. “Stochastic programming for hydro-thermal unit commitment.” 2015. Web. 07 Mar 2021.

Vancouver:

Schulze T. Stochastic programming for hydro-thermal unit commitment. [Internet] [Doctoral dissertation]. University of Edinburgh; 2015. [cited 2021 Mar 07]. 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


University of Texas – Austin

29. -7913-5183. Carbon capture and storage network optimization under uncertainty.

Degree: MSin Energy and Earth Resources, Energy and earth resources, 2018, University of Texas – Austin

 Carbon capture and storage is a method for emissions reductions that can be applied to both the electric sector and industrial sources. Significant uncertainties surround… (more)

Subjects/Keywords: CCS; Network; Stochastic; Optimization; Carbon capture

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APA (6th Edition):

-7913-5183. (2018). Carbon capture and storage network optimization under uncertainty. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68750

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-7913-5183. “Carbon capture and storage network optimization under uncertainty.” 2018. Masters Thesis, University of Texas – Austin. Accessed March 07, 2021. http://hdl.handle.net/2152/68750.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-7913-5183. “Carbon capture and storage network optimization under uncertainty.” 2018. Web. 07 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-7913-5183. Carbon capture and storage network optimization under uncertainty. [Internet] [Masters thesis]. University of Texas – Austin; 2018. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2152/68750.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-7913-5183. Carbon capture and storage network optimization under uncertainty. [Masters Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68750

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Colorado School of Mines

30. 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 (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 March 07, 2021. 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. 07 Mar 2021.

Vancouver:

Kozak DA. Iterative stochastic optimization for large-scale machine learning and statistical inverse problems. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2020. [cited 2021 Mar 07]. 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

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