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You searched for subject:(Stochastic optimization). Showing records 1 – 30 of 711 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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

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 December 14, 2019. 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. 14 Dec 2019.

Vancouver:

Mercier LH. Amsaa: An Anticipatory Algorithm for Online Stochastic Combinatorial Optimization. [Internet] [Doctoral dissertation]. Brown University; 2009. [cited 2019 Dec 14]. Available from: https://repository.library.brown.edu/studio/item/bdr:95/.

Council of Science Editors:

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


Princeton University

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

Degree: PhD, 2018, Princeton University

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Perkins, Raymond Theodore. “Multistage Stochastic Programming with Parametric Cost Function Approximations .” 2018. Doctoral Dissertation, Princeton University. Accessed December 14, 2019. http://arks.princeton.edu/ark:/88435/dsp018c97kt118.

MLA Handbook (7th Edition):

Perkins, Raymond Theodore. “Multistage Stochastic Programming with Parametric Cost Function Approximations .” 2018. Web. 14 Dec 2019.

Vancouver:

Perkins RT. Multistage Stochastic Programming with Parametric Cost Function Approximations . [Internet] [Doctoral dissertation]. Princeton University; 2018. [cited 2019 Dec 14]. Available from: http://arks.princeton.edu/ark:/88435/dsp018c97kt118.

Council of Science Editors:

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


Texas A&M University

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

Degree: 2014, Texas A&M University

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

Subjects/Keywords: fuel treatment; optimization; stochastic programming

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Kabli, Mohannad Reda A. “Stochastic Programming Model for Fuel Treatment Management.” 2014. Thesis, Texas A&M University. Accessed December 14, 2019. http://hdl.handle.net/1969.1/152840.

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

MLA Handbook (7th Edition):

Kabli, Mohannad Reda A. “Stochastic Programming Model for Fuel Treatment Management.” 2014. Web. 14 Dec 2019.

Vancouver:

Kabli MRA. Stochastic Programming Model for Fuel Treatment Management. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/1969.1/152840.

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

Council of Science Editors:

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

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


Baylor University

4. [No author]. Stochastic dynamic optimal power flow under the variability of renewable energy with modern heuristic optimization techniques.

Degree: 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):

author], [. (2017). Stochastic dynamic optimal power flow under the variability of renewable energy with modern heuristic optimization techniques. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/10137

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):

author], [No. “Stochastic dynamic optimal power flow under the variability of renewable energy with modern heuristic optimization techniques. ” 2017. Thesis, Baylor University. Accessed December 14, 2019. http://hdl.handle.net/2104/10137.

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

MLA Handbook (7th Edition):

author], [No. “Stochastic dynamic optimal power flow under the variability of renewable energy with modern heuristic optimization techniques. ” 2017. Web. 14 Dec 2019.

Vancouver:

author] [. Stochastic dynamic optimal power flow under the variability of renewable energy with modern heuristic optimization techniques. [Internet] [Thesis]. Baylor University; 2017. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/2104/10137.

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

Council of Science Editors:

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

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


Georgia Tech

5. Phanish, Deepa. Optimal clustering and inter-cluster routing in large-scale wireless ad hoc and sensor networks.

Degree: PhD, Electrical and Computer Engineering, 2017, Georgia Tech

 A large number of small sensing devices connected together with wireless transceivers can be used to effectively monitor various environments. However, these devices have limited… (more)

Subjects/Keywords: Optimization; Stochastic geometry; Variational calculus

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APA (6th Edition):

Phanish, D. (2017). Optimal clustering and inter-cluster routing in large-scale wireless ad hoc and sensor networks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59223

Chicago Manual of Style (16th Edition):

Phanish, Deepa. “Optimal clustering and inter-cluster routing in large-scale wireless ad hoc and sensor networks.” 2017. Doctoral Dissertation, Georgia Tech. Accessed December 14, 2019. http://hdl.handle.net/1853/59223.

MLA Handbook (7th Edition):

Phanish, Deepa. “Optimal clustering and inter-cluster routing in large-scale wireless ad hoc and sensor networks.” 2017. Web. 14 Dec 2019.

Vancouver:

Phanish D. Optimal clustering and inter-cluster routing in large-scale wireless ad hoc and sensor networks. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/1853/59223.

Council of Science Editors:

Phanish D. Optimal clustering and inter-cluster routing in large-scale wireless ad hoc and sensor networks. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59223


Mississippi State University

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

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

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

Subjects/Keywords: stochastic; element exchange; topology optimization

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Rouhi, Mohammad. “TOPOLOGY OPTIMIZATION OF CONTINUUM STRUCTURES USING ELEMENT EXCHANGE METHOD.” 2009. Masters Thesis, Mississippi State University. Accessed December 14, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-04032009-063432/ ;.

MLA Handbook (7th Edition):

Rouhi, Mohammad. “TOPOLOGY OPTIMIZATION OF CONTINUUM STRUCTURES USING ELEMENT EXCHANGE METHOD.” 2009. Web. 14 Dec 2019.

Vancouver:

Rouhi M. TOPOLOGY OPTIMIZATION OF CONTINUUM STRUCTURES USING ELEMENT EXCHANGE METHOD. [Internet] [Masters thesis]. Mississippi State University; 2009. [cited 2019 Dec 14]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04032009-063432/ ;.

Council of Science Editors:

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


Oklahoma State University

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

Degree: Department of Mathematics, 2009, Oklahoma State University

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

Subjects/Keywords: hedge; optimization; stochastic control

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Wang, Yu. “Application of Stochastic Control Theory to Hedge Ratio Optimization in Risk Management.” 2009. Thesis, Oklahoma State University. Accessed December 14, 2019. http://hdl.handle.net/11244/6833.

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

MLA Handbook (7th Edition):

Wang, Yu. “Application of Stochastic Control Theory to Hedge Ratio Optimization in Risk Management.” 2009. Web. 14 Dec 2019.

Vancouver:

Wang Y. Application of Stochastic Control Theory to Hedge Ratio Optimization in Risk Management. [Internet] [Thesis]. Oklahoma State University; 2009. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/11244/6833.

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

Council of Science Editors:

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

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


University of Southern California

8. 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/6069

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 December 14, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/159793/rec/6069.

MLA Handbook (7th Edition):

Li, Chih-ping. “Stochastic optimization over parallel queues: channel-blind scheduling, restless bandit, and optimal delay.” 2011. Web. 14 Dec 2019.

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 2019 Dec 14]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/159793/rec/6069.

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/6069


University of Toronto

9. 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 December 14, 2019. http://hdl.handle.net/1807/79155.

MLA Handbook (7th Edition):

Miklyukh, Volodymyr. “Optimal Inventory Policy Through Dual Sourcing.” 2017. Web. 14 Dec 2019.

Vancouver:

Miklyukh V. Optimal Inventory Policy Through Dual Sourcing. [Internet] [Masters thesis]. University of Toronto; 2017. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/1807/79155.

Council of Science Editors:

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


Rutgers University

10. 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 December 14, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/47488/.

MLA Handbook (7th Edition):

Ninh, Anh Tuan, 1985-. “Selected topics in stochastic optimization.” 2015. Web. 14 Dec 2019.

Vancouver:

Ninh, Anh Tuan 1. Selected topics in stochastic optimization. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2019 Dec 14]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47488/.

Council of Science Editors:

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


Rutgers University

11. 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 December 14, 2019. 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. 14 Dec 2019.

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 2019 Dec 14]. 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

12. 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 December 14, 2019. 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. 14 Dec 2019.

Vancouver:

Chatwattanasiri, Nida 1. Stochastic cost, reliability and maintenance optimization considering uncertain future usage scenarios. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2019 Dec 14]. 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/


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 December 14, 2019. 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. 14 Dec 2019.

Vancouver:

Liu L. Stochastic Optimization in Machine Learning . [Internet] [Thesis]. University of Sydney; 2019. [cited 2019 Dec 14]. 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


University of Waterloo

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

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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 December 14, 2019. 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. 14 Dec 2019.

Vancouver:

Linhares Rodrigues A. Approximation Algorithms for Distributionally Robust Stochastic Optimization. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2019 Dec 14]. 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 December 14, 2019. 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. 14 Dec 2019.

Vancouver:

Aboagye N. Knowledge gradient for expensive locally quadratic functions and stochastic optimization of aid allocation . [Internet] [Doctoral dissertation]. Princeton University; 2018. [cited 2019 Dec 14]. 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


University of Ontario Institute of Technology

16. 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 December 14, 2019. 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. 14 Dec 2019.

Vancouver:

Amirnavaei F. Wireless transmission with energy harvesting and storage. [Internet] [Thesis]. University of Ontario Institute of Technology; 2017. [cited 2019 Dec 14]. 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


University of Edinburgh

17. 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 December 14, 2019. http://hdl.handle.net/1842/15775.

MLA Handbook (7th Edition):

Schulze, Tim. “Stochastic programming for hydro-thermal unit commitment.” 2015. Web. 14 Dec 2019.

Vancouver:

Schulze T. Stochastic programming for hydro-thermal unit commitment. [Internet] [Doctoral dissertation]. University of Edinburgh; 2015. [cited 2019 Dec 14]. 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


Anna University

18. 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 December 14, 2019. 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. 14 Dec 2019.

Vancouver:

Udhayakumar A. Approaches for some special classes of stochastic optimization problems; -. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Dec 14]. 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


Cornell University

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

Degree: 2013, Cornell University

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Waeber, Rolf. “Probabilistic Bisection Search For Stochastic Root-Finding .” 2013. Thesis, Cornell University. Accessed December 14, 2019. http://hdl.handle.net/1813/33929.

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

MLA Handbook (7th Edition):

Waeber, Rolf. “Probabilistic Bisection Search For Stochastic Root-Finding .” 2013. Web. 14 Dec 2019.

Vancouver:

Waeber R. Probabilistic Bisection Search For Stochastic Root-Finding . [Internet] [Thesis]. Cornell University; 2013. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/1813/33929.

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

Council of Science Editors:

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

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


University of Washington

20. 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 December 14, 2019. http://hdl.handle.net/1773/33615.

MLA Handbook (7th Edition):

Salim, Bob Adiputra. “Stochastic Optimization and Subgroup Selection.” 2015. Web. 14 Dec 2019.

Vancouver:

Salim BA. Stochastic Optimization and Subgroup Selection. [Internet] [Doctoral dissertation]. University of Washington; 2015. [cited 2019 Dec 14]. 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

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

Degree: 2015, Cornell University

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Lamontagne, Jonathan. “Representation Of Uncertainty And Corridor Dp For Hydropower Optimization .” 2015. Thesis, Cornell University. Accessed December 14, 2019. http://hdl.handle.net/1813/39482.

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

MLA Handbook (7th Edition):

Lamontagne, Jonathan. “Representation Of Uncertainty And Corridor Dp For Hydropower Optimization .” 2015. Web. 14 Dec 2019.

Vancouver:

Lamontagne J. Representation Of Uncertainty And Corridor Dp For Hydropower Optimization . [Internet] [Thesis]. Cornell University; 2015. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/1813/39482.

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

Council of Science Editors:

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

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


Kansas State University

22. Newell, Sarah. Optimizing daily fantasy sports contests through stochastic integer programming.

Degree: MS, Department of Industrial & Manufacturing Systems Engineering, 2017, Kansas State University

 The possibility of becoming a millionaire attracts over 200,000 daily fantasy sports (DFS) contest entries each Sunday of the NFL season. Millions of people play… (more)

Subjects/Keywords: Optimization; Stochastic integer programming; Fantasy sports

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APA (6th Edition):

Newell, S. (2017). Optimizing daily fantasy sports contests through stochastic integer programming. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/35393

Chicago Manual of Style (16th Edition):

Newell, Sarah. “Optimizing daily fantasy sports contests through stochastic integer programming.” 2017. Masters Thesis, Kansas State University. Accessed December 14, 2019. http://hdl.handle.net/2097/35393.

MLA Handbook (7th Edition):

Newell, Sarah. “Optimizing daily fantasy sports contests through stochastic integer programming.” 2017. Web. 14 Dec 2019.

Vancouver:

Newell S. Optimizing daily fantasy sports contests through stochastic integer programming. [Internet] [Masters thesis]. Kansas State University; 2017. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/2097/35393.

Council of Science Editors:

Newell S. Optimizing daily fantasy sports contests through stochastic integer programming. [Masters Thesis]. Kansas State University; 2017. Available from: http://hdl.handle.net/2097/35393


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 December 14, 2019. 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. 14 Dec 2019.

Vancouver:

Farley S. Top- K Algorithms for SimQL: A Decision Guidance Query Language Based on Stochastic Simulation . [Internet] [Thesis]. George Mason University; 2014. [cited 2019 Dec 14]. 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 Toronto

24. 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 December 14, 2019. http://hdl.handle.net/1807/70453.

MLA Handbook (7th Edition):

Trusevych, Stephan Alexander. “Stochastic Integer Decision Making in Operations and Finance.” 2015. Web. 14 Dec 2019.

Vancouver:

Trusevych SA. Stochastic Integer Decision Making in Operations and Finance. [Internet] [Masters thesis]. University of Toronto; 2015. [cited 2019 Dec 14]. 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


Rochester Institute of Technology

25. 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 December 14, 2019. 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. 14 Dec 2019.

Vancouver:

Saripalli S. A Dynamic inventory optimization method applied to printer fleet management. [Internet] [Thesis]. Rochester Institute of Technology; 2011. [cited 2019 Dec 14]. 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


Duke University

26. 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 December 14, 2019. 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. 14 Dec 2019.

Vancouver:

Xia R. Stochastic Modeling of Modern Storage Systems . [Internet] [Thesis]. Duke University; 2015. [cited 2019 Dec 14]. 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


Virginia Tech

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

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

 Modeling and simulation of biochemical networks faces numerous challenges as biochemical networks are discovered with increased complexity and unknown mechanisms. With improvement in experimental techniques,… (more)

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

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

APA (6th Edition):

Chen, M. (2019). Stochastic Modeling and Simulation of Multiscale Biochemical Systems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/90898

Chicago Manual of Style (16th Edition):

Chen, Minghan. “Stochastic Modeling and Simulation of Multiscale Biochemical Systems.” 2019. Doctoral Dissertation, Virginia Tech. Accessed December 14, 2019. http://hdl.handle.net/10919/90898.

MLA Handbook (7th Edition):

Chen, Minghan. “Stochastic Modeling and Simulation of Multiscale Biochemical Systems.” 2019. Web. 14 Dec 2019.

Vancouver:

Chen M. Stochastic Modeling and Simulation of Multiscale Biochemical Systems. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/10919/90898.

Council of Science Editors:

Chen M. Stochastic Modeling and Simulation of Multiscale Biochemical Systems. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/90898


Indian Institute of Science

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

Degree: 2017, Indian Institute of Science

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Joseph, Ajin George. “Optimization Algorithms for Deterministic, Stochastic and Reinforcement Learning Settings.” 2017. Thesis, Indian Institute of Science. Accessed December 14, 2019. http://etd.iisc.ernet.in/2005/3645 ; http://etd.iisc.ernet.in/abstracts/4515/G28470-Abs.pdf.

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

MLA Handbook (7th Edition):

Joseph, Ajin George. “Optimization Algorithms for Deterministic, Stochastic and Reinforcement Learning Settings.” 2017. Web. 14 Dec 2019.

Vancouver:

Joseph AG. Optimization Algorithms for Deterministic, Stochastic and Reinforcement Learning Settings. [Internet] [Thesis]. Indian Institute of Science; 2017. [cited 2019 Dec 14]. Available from: http://etd.iisc.ernet.in/2005/3645 ; http://etd.iisc.ernet.in/abstracts/4515/G28470-Abs.pdf.

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

Council of Science Editors:

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

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


University of Arizona

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

Degree: 2012, University of Arizona

 In this dissertation, we focus on developing sampling-based algorithms for solving stochastic linear programs. The work covers both two stage and multistage versions of stochastic(more)

Subjects/Keywords: Optimization Simulation; Stage-wise Independence; Stochastic Decomposition; Stochastic Dual Dynamic Programming; Systems & Industrial Engineering; Multistage Stochastic Decomposition; Multistage Stochastic Program

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APA (6th Edition):

Zhou, Z. (2012). Multistage Stochastic Decomposition and its Applications . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/222892

Chicago Manual of Style (16th Edition):

Zhou, Zhihong. “Multistage Stochastic Decomposition and its Applications .” 2012. Doctoral Dissertation, University of Arizona. Accessed December 14, 2019. http://hdl.handle.net/10150/222892.

MLA Handbook (7th Edition):

Zhou, Zhihong. “Multistage Stochastic Decomposition and its Applications .” 2012. Web. 14 Dec 2019.

Vancouver:

Zhou Z. Multistage Stochastic Decomposition and its Applications . [Internet] [Doctoral dissertation]. University of Arizona; 2012. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/10150/222892.

Council of Science Editors:

Zhou Z. Multistage Stochastic Decomposition and its Applications . [Doctoral Dissertation]. University of Arizona; 2012. Available from: http://hdl.handle.net/10150/222892


Penn State University

30. Solo, Christopher James. MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY.

Degree: PhD, Industrial Engineering, 2009, Penn State University

 This research involves the development of a flexible, multi-objective optimization tool for use by supply chain managers in the design and operation of manufacturing-distribution networks… (more)

Subjects/Keywords: supply chain; uncertainty; stochastic optimization; robust optimization; chance-constrained goal programming

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APA (6th Edition):

Solo, C. J. (2009). MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9709

Chicago Manual of Style (16th Edition):

Solo, Christopher James. “MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY.” 2009. Doctoral Dissertation, Penn State University. Accessed December 14, 2019. https://etda.libraries.psu.edu/catalog/9709.

MLA Handbook (7th Edition):

Solo, Christopher James. “MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY.” 2009. Web. 14 Dec 2019.

Vancouver:

Solo CJ. MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY. [Internet] [Doctoral dissertation]. Penn State University; 2009. [cited 2019 Dec 14]. Available from: https://etda.libraries.psu.edu/catalog/9709.

Council of Science Editors:

Solo CJ. MULTI-OBJECTIVE, INTEGRATED SUPPLY CHAIN DESIGN AND OPERATION UNDER UNCERTAINTY. [Doctoral Dissertation]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/9709

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