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

Degree: PhD, Computer Science, 2009, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:95/

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

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

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

Subjects/Keywords: Stochastic optimization; Simulation-assisted optimization

Record Details Similar Records

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

APA (6^{th} Edition):

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

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

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

MLA Handbook (7^{th} Edition):

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

Vancouver:

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

Council of Science Editors:

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

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

URL: https://submit-etda.libraries.psu.edu/catalog/17968azj5286

► *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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

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

URL: http://arks.princeton.edu/ark:/88435/dsp018c97kt118

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1969.1/152840

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1807/79155

►

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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

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

URL: http://hdl.handle.net/2104/10137

► 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.

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://resolver.tudelft.nl/uuid:40148cf1-8b85-49df-9f5a-55ac257a04f7

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/159793/rec/6078

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/50102/

►

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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

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

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/47335/

►

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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/47488/

►

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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2123/19982

► *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

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Liu, Liu. “Stochastic Optimization in Machine Learning .” 2019. Thesis, University of Sydney. Accessed March 07, 2021. http://hdl.handle.net/2123/19982.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Degree: 2019, University of Waterloo

URL: http://hdl.handle.net/10012/14639

► 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

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://arks.princeton.edu/ark:/88435/dsp01np193c94m

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://preserve.lehigh.edu/etd/5796

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 (6^{th} 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 (16^{th} 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 (7^{th} 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

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

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

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

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APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

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

Vancouver:

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

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

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

URL: http://hdl.handle.net/1813/39482

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

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

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

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

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APA (6^{th} Edition):

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

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

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

MLA Handbook (7^{th} Edition):

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

Vancouver:

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

Council of Science Editors:

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

Anna University

20.
Udhayakumar, A.
Approaches for some special classes of *stochastic*
*optimization* problems; -.

Degree: Science and Humanities, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/27450

►

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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: https://submit-etda.libraries.psu.edu/catalog/15183

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/1807/70453

►

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 (6^{th} 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 (16^{th} 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 (7^{th} 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

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

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

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

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APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

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

Vancouver:

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

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

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

URL: http://hdl.handle.net/1773/33615

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://resolver.tudelft.nl/uuid:13fd72f6-946b-4fc1-bcfd-ee1d737abe85

►

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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10155/904

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

Not specified: Masters Thesis or Doctoral Dissertation

Duke University

27.
Xia, Ruofan.
* Stochastic* Modeling of Modern Storage Systems
.

Degree: 2015, Duke University

URL: http://hdl.handle.net/10161/11333

► 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 (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Xia, Ruofan. “Stochastic Modeling of Modern Storage Systems .” 2015. Thesis, Duke University. Accessed March 07, 2021. http://hdl.handle.net/10161/11333.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/1842/15775

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2152/68750

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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.

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

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

URL: http://hdl.handle.net/11124/174167

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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