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You searched for subject:(stochastic programming). Showing records 1 – 30 of 544 total matches.

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Princeton University

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

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 September 15, 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. 15 Sep 2019.

Vancouver:

Perkins RT. Multistage Stochastic Programming with Parametric Cost Function Approximations . [Internet] [Doctoral dissertation]. Princeton University; 2018. [cited 2019 Sep 15]. 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


University of New South Wales

2. Wu, Wei. Limitations of dynamic programming approach: singularity and time inconsistency.

Degree: Mathematics & Statistics, 2016, University of New South Wales

 Two failures of the dynamic programming (DP) approach to the stochastic optimal control problem are investigated. The first failure arises when we wish to solve… (more)

Subjects/Keywords: Stochastic optimal control; Dynamic programming; Stochastic control

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APA (6th Edition):

Wu, W. (2016). Limitations of dynamic programming approach: singularity and time inconsistency. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/56208 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40264/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Wu, Wei. “Limitations of dynamic programming approach: singularity and time inconsistency.” 2016. Doctoral Dissertation, University of New South Wales. Accessed September 15, 2019. http://handle.unsw.edu.au/1959.4/56208 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40264/SOURCE02?view=true.

MLA Handbook (7th Edition):

Wu, Wei. “Limitations of dynamic programming approach: singularity and time inconsistency.” 2016. Web. 15 Sep 2019.

Vancouver:

Wu W. Limitations of dynamic programming approach: singularity and time inconsistency. [Internet] [Doctoral dissertation]. University of New South Wales; 2016. [cited 2019 Sep 15]. Available from: http://handle.unsw.edu.au/1959.4/56208 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40264/SOURCE02?view=true.

Council of Science Editors:

Wu W. Limitations of dynamic programming approach: singularity and time inconsistency. [Doctoral Dissertation]. University of New South Wales; 2016. Available from: http://handle.unsw.edu.au/1959.4/56208 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40264/SOURCE02?view=true


Dalhousie University

3. Comeau, Jules. A STOCHASTIC DYNAMIC PROGRAMMING APPROACH FOR OPTIMIZING MIXED-SPECIES FOREST STAND MANAGEMENT POLICIES.

Degree: PhD, Department of Industrial Engineering, 2011, Dalhousie University

 The main goal is to develop decision policies for individual forest stand management. It addresses three major areas of interest in the optimal management of… (more)

Subjects/Keywords: Dynamic Programming; Forestry; Stochastic

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APA (6th Edition):

Comeau, J. (2011). A STOCHASTIC DYNAMIC PROGRAMMING APPROACH FOR OPTIMIZING MIXED-SPECIES FOREST STAND MANAGEMENT POLICIES. (Doctoral Dissertation). Dalhousie University. Retrieved from http://hdl.handle.net/10222/13309

Chicago Manual of Style (16th Edition):

Comeau, Jules. “A STOCHASTIC DYNAMIC PROGRAMMING APPROACH FOR OPTIMIZING MIXED-SPECIES FOREST STAND MANAGEMENT POLICIES.” 2011. Doctoral Dissertation, Dalhousie University. Accessed September 15, 2019. http://hdl.handle.net/10222/13309.

MLA Handbook (7th Edition):

Comeau, Jules. “A STOCHASTIC DYNAMIC PROGRAMMING APPROACH FOR OPTIMIZING MIXED-SPECIES FOREST STAND MANAGEMENT POLICIES.” 2011. Web. 15 Sep 2019.

Vancouver:

Comeau J. A STOCHASTIC DYNAMIC PROGRAMMING APPROACH FOR OPTIMIZING MIXED-SPECIES FOREST STAND MANAGEMENT POLICIES. [Internet] [Doctoral dissertation]. Dalhousie University; 2011. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/10222/13309.

Council of Science Editors:

Comeau J. A STOCHASTIC DYNAMIC PROGRAMMING APPROACH FOR OPTIMIZING MIXED-SPECIES FOREST STAND MANAGEMENT POLICIES. [Doctoral Dissertation]. Dalhousie University; 2011. Available from: http://hdl.handle.net/10222/13309


Texas A&M University

4. Lee, Won Ju. A stochastic mixed integer programming approach to wildfire management systems.

Degree: 2009, Texas A&M University

 Wildfires have become more destructive and are seriously threatening societies and our ecosystems throughout the world. Once a wildfire escapes from its initial suppression attack,… (more)

Subjects/Keywords: Stochastic Programming; Wildfire Management

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APA (6th Edition):

Lee, W. J. (2009). A stochastic mixed integer programming approach to wildfire management systems. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1801

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):

Lee, Won Ju. “A stochastic mixed integer programming approach to wildfire management systems.” 2009. Thesis, Texas A&M University. Accessed September 15, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1801.

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

MLA Handbook (7th Edition):

Lee, Won Ju. “A stochastic mixed integer programming approach to wildfire management systems.” 2009. Web. 15 Sep 2019.

Vancouver:

Lee WJ. A stochastic mixed integer programming approach to wildfire management systems. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1801.

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

Council of Science Editors:

Lee WJ. A stochastic mixed integer programming approach to wildfire management systems. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1801

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


Texas A&M University

5. 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 September 15, 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. 15 Sep 2019.

Vancouver:

Kabli MRA. Stochastic Programming Model for Fuel Treatment Management. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Sep 15]. 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


University of Southern California

6. Chen, Kai. Variants of stochastic knapsack problems.

Degree: PhD, Industrial and Systems Engineering, 2013, University of Southern California

 We consider variants of stochastic knapsack problems with different problem settings, on-line vs off-line, and with different assumptions on the objective functions. We try to… (more)

Subjects/Keywords: stochastic; knapsack; dynamic programming

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APA (6th Edition):

Chen, K. (2013). Variants of stochastic knapsack problems. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/347957/rec/7801

Chicago Manual of Style (16th Edition):

Chen, Kai. “Variants of stochastic knapsack problems.” 2013. Doctoral Dissertation, University of Southern California. Accessed September 15, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/347957/rec/7801.

MLA Handbook (7th Edition):

Chen, Kai. “Variants of stochastic knapsack problems.” 2013. Web. 15 Sep 2019.

Vancouver:

Chen K. Variants of stochastic knapsack problems. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Sep 15]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/347957/rec/7801.

Council of Science Editors:

Chen K. Variants of stochastic knapsack problems. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/347957/rec/7801


University of Houston

7. Cho, Jaeyoung. Maritime Vehicle Routing under Uncertainty: Liquefied Natural Gas Shipping and Offshore Pipeline Damage Assessment Problems.

Degree: Industrial Engineering, Department of, 2016, University of Houston

 Maritime vehicle routing and scheduling problem has been studied extensively in the context of risk mitigation. This dissertation addresses three maritime vehicle routing problems and… (more)

Subjects/Keywords: Vehicle Routing Problem; Stochastic Programming

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APA (6th Edition):

Cho, J. (2016). Maritime Vehicle Routing under Uncertainty: Liquefied Natural Gas Shipping and Offshore Pipeline Damage Assessment Problems. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3579

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):

Cho, Jaeyoung. “Maritime Vehicle Routing under Uncertainty: Liquefied Natural Gas Shipping and Offshore Pipeline Damage Assessment Problems.” 2016. Thesis, University of Houston. Accessed September 15, 2019. http://hdl.handle.net/10657/3579.

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

MLA Handbook (7th Edition):

Cho, Jaeyoung. “Maritime Vehicle Routing under Uncertainty: Liquefied Natural Gas Shipping and Offshore Pipeline Damage Assessment Problems.” 2016. Web. 15 Sep 2019.

Vancouver:

Cho J. Maritime Vehicle Routing under Uncertainty: Liquefied Natural Gas Shipping and Offshore Pipeline Damage Assessment Problems. [Internet] [Thesis]. University of Houston; 2016. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/10657/3579.

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

Council of Science Editors:

Cho J. Maritime Vehicle Routing under Uncertainty: Liquefied Natural Gas Shipping and Offshore Pipeline Damage Assessment Problems. [Thesis]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/3579

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


University of Waterloo

8. Shateri, Mahsa. Task Optimization and Workforce Scheduling.

Degree: 2011, University of Waterloo

 This thesis focuses on task sequencing and manpower scheduling to develop robust schedules for an aircraft manufacturer. The production of an aircraft goes through a… (more)

Subjects/Keywords: Scheduling; Two-stage stochastic programming

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APA (6th Edition):

Shateri, M. (2011). Task Optimization and Workforce Scheduling. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/6241

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):

Shateri, Mahsa. “Task Optimization and Workforce Scheduling.” 2011. Thesis, University of Waterloo. Accessed September 15, 2019. http://hdl.handle.net/10012/6241.

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

MLA Handbook (7th Edition):

Shateri, Mahsa. “Task Optimization and Workforce Scheduling.” 2011. Web. 15 Sep 2019.

Vancouver:

Shateri M. Task Optimization and Workforce Scheduling. [Internet] [Thesis]. University of Waterloo; 2011. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/10012/6241.

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

Council of Science Editors:

Shateri M. Task Optimization and Workforce Scheduling. [Thesis]. University of Waterloo; 2011. Available from: http://hdl.handle.net/10012/6241

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


Rutgers University

9. Xu, Chuan. Simulation approach to two-stage bond portfolio optimization problem.

Degree: MS, Operations Research, 2014, Rutgers University

 Studies on two sides are done in this thesis. First, we consider bond portfolio optimization problem under stochastic optimization structure; second, specific algorithm to solve… (more)

Subjects/Keywords: Stochastic programming; Portfolio management

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APA (6th Edition):

Xu, C. (2014). Simulation approach to two-stage bond portfolio optimization problem. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/44321/

Chicago Manual of Style (16th Edition):

Xu, Chuan. “Simulation approach to two-stage bond portfolio optimization problem.” 2014. Masters Thesis, Rutgers University. Accessed September 15, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/44321/.

MLA Handbook (7th Edition):

Xu, Chuan. “Simulation approach to two-stage bond portfolio optimization problem.” 2014. Web. 15 Sep 2019.

Vancouver:

Xu C. Simulation approach to two-stage bond portfolio optimization problem. [Internet] [Masters thesis]. Rutgers University; 2014. [cited 2019 Sep 15]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/44321/.

Council of Science Editors:

Xu C. Simulation approach to two-stage bond portfolio optimization problem. [Masters Thesis]. Rutgers University; 2014. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/44321/


University of Texas – Austin

10. Fayvisovich, Roman. Martingale-generated control structures and a framework for the dynamic programming principle.

Degree: PhD, Mathematics, 2017, University of Texas – Austin

 This thesis constructs an abstract framework in which the dynamic programming principle (DPP) can be proven for a broad range of stochastic control problems. Using… (more)

Subjects/Keywords: Stochastic control; Dynamic programming

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APA (6th Edition):

Fayvisovich, R. (2017). Martingale-generated control structures and a framework for the dynamic programming principle. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62105

Chicago Manual of Style (16th Edition):

Fayvisovich, Roman. “Martingale-generated control structures and a framework for the dynamic programming principle.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed September 15, 2019. http://hdl.handle.net/2152/62105.

MLA Handbook (7th Edition):

Fayvisovich, Roman. “Martingale-generated control structures and a framework for the dynamic programming principle.” 2017. Web. 15 Sep 2019.

Vancouver:

Fayvisovich R. Martingale-generated control structures and a framework for the dynamic programming principle. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/2152/62105.

Council of Science Editors:

Fayvisovich R. Martingale-generated control structures and a framework for the dynamic programming principle. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62105

11. Britt, Justin William. Stochastic Goal Programming and a Metaheuristic for Scheduling of Operating Rooms.

Degree: MA, Industrial and Manufacturing Systems Engineering, 2015, University of Windsor

 Health care systems in Canada provide benefits to patients but have issues with costs and wait lists. Long wait lists negatively affect patients’ welfares. This… (more)

Subjects/Keywords: goal programming; health service; scheduling; stochastic programming

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APA (6th Edition):

Britt, J. W. (2015). Stochastic Goal Programming and a Metaheuristic for Scheduling of Operating Rooms. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5629

Chicago Manual of Style (16th Edition):

Britt, Justin William. “Stochastic Goal Programming and a Metaheuristic for Scheduling of Operating Rooms.” 2015. Masters Thesis, University of Windsor. Accessed September 15, 2019. https://scholar.uwindsor.ca/etd/5629.

MLA Handbook (7th Edition):

Britt, Justin William. “Stochastic Goal Programming and a Metaheuristic for Scheduling of Operating Rooms.” 2015. Web. 15 Sep 2019.

Vancouver:

Britt JW. Stochastic Goal Programming and a Metaheuristic for Scheduling of Operating Rooms. [Internet] [Masters thesis]. University of Windsor; 2015. [cited 2019 Sep 15]. Available from: https://scholar.uwindsor.ca/etd/5629.

Council of Science Editors:

Britt JW. Stochastic Goal Programming and a Metaheuristic for Scheduling of Operating Rooms. [Masters Thesis]. University of Windsor; 2015. Available from: https://scholar.uwindsor.ca/etd/5629


San Jose State University

12. Zhou, Siqiong. A Spatial Optimization Model for Resource Allocation for Wildfire Suppression and Resident Evacuation.

Degree: MS, Industrial and Systems Engineering, 2019, San Jose State University

  Wildland-urban interface wildfires have been a significant threat in many countries. This thesis presents an integer two-stage stochastic goal programming model for comprehensive, efficient… (more)

Subjects/Keywords: Goal programming; Stochastic programming; Wildfire management

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APA (6th Edition):

Zhou, S. (2019). A Spatial Optimization Model for Resource Allocation for Wildfire Suppression and Resident Evacuation. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.x8dn-588y ; https://scholarworks.sjsu.edu/etd_theses/5022

Chicago Manual of Style (16th Edition):

Zhou, Siqiong. “A Spatial Optimization Model for Resource Allocation for Wildfire Suppression and Resident Evacuation.” 2019. Masters Thesis, San Jose State University. Accessed September 15, 2019. https://doi.org/10.31979/etd.x8dn-588y ; https://scholarworks.sjsu.edu/etd_theses/5022.

MLA Handbook (7th Edition):

Zhou, Siqiong. “A Spatial Optimization Model for Resource Allocation for Wildfire Suppression and Resident Evacuation.” 2019. Web. 15 Sep 2019.

Vancouver:

Zhou S. A Spatial Optimization Model for Resource Allocation for Wildfire Suppression and Resident Evacuation. [Internet] [Masters thesis]. San Jose State University; 2019. [cited 2019 Sep 15]. Available from: https://doi.org/10.31979/etd.x8dn-588y ; https://scholarworks.sjsu.edu/etd_theses/5022.

Council of Science Editors:

Zhou S. A Spatial Optimization Model for Resource Allocation for Wildfire Suppression and Resident Evacuation. [Masters Thesis]. San Jose State University; 2019. Available from: https://doi.org/10.31979/etd.x8dn-588y ; https://scholarworks.sjsu.edu/etd_theses/5022


Georgia Tech

13. Vielma Centeno, Juan Pablo. Mixed integer programming approaches for nonlinear and stochastic programming.

Degree: PhD, Industrial and Systems Engineering, 2009, Georgia Tech

 In this thesis we study how to solve some nonconvex optimization problems by using methods that capitalize on the success of Linear Programming (LP) based… (more)

Subjects/Keywords: Mixed integer programming; Stochastic programming; Mathematical optimization; Nonconvex programming

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APA (6th Edition):

Vielma Centeno, J. P. (2009). Mixed integer programming approaches for nonlinear and stochastic programming. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/29624

Chicago Manual of Style (16th Edition):

Vielma Centeno, Juan Pablo. “Mixed integer programming approaches for nonlinear and stochastic programming.” 2009. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/29624.

MLA Handbook (7th Edition):

Vielma Centeno, Juan Pablo. “Mixed integer programming approaches for nonlinear and stochastic programming.” 2009. Web. 15 Sep 2019.

Vancouver:

Vielma Centeno JP. Mixed integer programming approaches for nonlinear and stochastic programming. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/29624.

Council of Science Editors:

Vielma Centeno JP. Mixed integer programming approaches for nonlinear and stochastic programming. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/29624


Western Kentucky University

14. Cheng, Gang. Analyzing and Solving Non-Linear Stochastic Dynamic Models on Non-Periodic Discrete Time Domains.

Degree: MS, Department of Mathematics, 2013, Western Kentucky University

Stochastic dynamic programming is a recursive method for solving sequential or multistage decision problems. It helps economists and mathematicians construct and solve a huge… (more)

Subjects/Keywords: Dynamic Programming; Stochastic Programming; Stochastic Control Theory; Stochastic Differential Equations; Stochastic Analysis; Martingales (Mathematics); Analysis; Applied Mathematics; Mathematics; Statistics and Probability

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APA (6th Edition):

Cheng, G. (2013). Analyzing and Solving Non-Linear Stochastic Dynamic Models on Non-Periodic Discrete Time Domains. (Masters Thesis). Western Kentucky University. Retrieved from https://digitalcommons.wku.edu/theses/1236

Chicago Manual of Style (16th Edition):

Cheng, Gang. “Analyzing and Solving Non-Linear Stochastic Dynamic Models on Non-Periodic Discrete Time Domains.” 2013. Masters Thesis, Western Kentucky University. Accessed September 15, 2019. https://digitalcommons.wku.edu/theses/1236.

MLA Handbook (7th Edition):

Cheng, Gang. “Analyzing and Solving Non-Linear Stochastic Dynamic Models on Non-Periodic Discrete Time Domains.” 2013. Web. 15 Sep 2019.

Vancouver:

Cheng G. Analyzing and Solving Non-Linear Stochastic Dynamic Models on Non-Periodic Discrete Time Domains. [Internet] [Masters thesis]. Western Kentucky University; 2013. [cited 2019 Sep 15]. Available from: https://digitalcommons.wku.edu/theses/1236.

Council of Science Editors:

Cheng G. Analyzing and Solving Non-Linear Stochastic Dynamic Models on Non-Periodic Discrete Time Domains. [Masters Thesis]. Western Kentucky University; 2013. Available from: https://digitalcommons.wku.edu/theses/1236


Georgia Tech

15. Angulo Olivares, Gustavo, I. Integer programming approaches for semicontinuous and stochastic optimization.

Degree: PhD, Industrial and Systems Engineering, 2014, Georgia Tech

 This thesis concerns the application of mixed-integer programming techniques to solve special classes of network flow problems and stochastic integer programs. We draw tools from… (more)

Subjects/Keywords: Integer programming; Stochastic programming; Forbidden vertices; Mathematical optimization; Dynamic programming; Integer programming

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APA (6th Edition):

Angulo Olivares, Gustavo, I. (2014). Integer programming approaches for semicontinuous and stochastic optimization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/51862

Chicago Manual of Style (16th Edition):

Angulo Olivares, Gustavo, I. “Integer programming approaches for semicontinuous and stochastic optimization.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/51862.

MLA Handbook (7th Edition):

Angulo Olivares, Gustavo, I. “Integer programming approaches for semicontinuous and stochastic optimization.” 2014. Web. 15 Sep 2019.

Vancouver:

Angulo Olivares, Gustavo I. Integer programming approaches for semicontinuous and stochastic optimization. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/51862.

Council of Science Editors:

Angulo Olivares, Gustavo I. Integer programming approaches for semicontinuous and stochastic optimization. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/51862


Texas A&M University

16. Zhang, Liqing. Stochastic Dynamic Demand Inventory Models with Explicit Transportation Costs and Decisions.

Degree: 2011, Texas A&M University

 Recent supply chain literature and practice recognize that significant cost savings can be achieved by coordinating inventory and transportation decisions. Although the existing literature on… (more)

Subjects/Keywords: Stochastic dynamic programming; Shipment consolidation; Inventory/production

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APA (6th Edition):

Zhang, L. (2011). Stochastic Dynamic Demand Inventory Models with Explicit Transportation Costs and Decisions. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/150943

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):

Zhang, Liqing. “Stochastic Dynamic Demand Inventory Models with Explicit Transportation Costs and Decisions.” 2011. Thesis, Texas A&M University. Accessed September 15, 2019. http://hdl.handle.net/1969.1/150943.

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

MLA Handbook (7th Edition):

Zhang, Liqing. “Stochastic Dynamic Demand Inventory Models with Explicit Transportation Costs and Decisions.” 2011. Web. 15 Sep 2019.

Vancouver:

Zhang L. Stochastic Dynamic Demand Inventory Models with Explicit Transportation Costs and Decisions. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1969.1/150943.

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

Council of Science Editors:

Zhang L. Stochastic Dynamic Demand Inventory Models with Explicit Transportation Costs and Decisions. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/150943

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

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 September 15, 2019. http://hdl.handle.net/1842/15775.

MLA Handbook (7th Edition):

Schulze, Tim. “Stochastic programming for hydro-thermal unit commitment.” 2015. Web. 15 Sep 2019.

Vancouver:

Schulze T. Stochastic programming for hydro-thermal unit commitment. [Internet] [Doctoral dissertation]. University of Edinburgh; 2015. [cited 2019 Sep 15]. 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 Edinburgh

18. Yang, Xinan. Top-percentile traffic routing problem.

Degree: 2012, University of Edinburgh

 Multi-homing is a technology used by Internet Service Provider (ISP) to connect to the Internet via multiple networks. This connectivity enhances the network reliability and… (more)

Subjects/Keywords: 621.382; top-percentile; stochastic; approximate dynamic programming

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APA (6th Edition):

Yang, X. (2012). Top-percentile traffic routing problem. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/5883

Chicago Manual of Style (16th Edition):

Yang, Xinan. “Top-percentile traffic routing problem.” 2012. Doctoral Dissertation, University of Edinburgh. Accessed September 15, 2019. http://hdl.handle.net/1842/5883.

MLA Handbook (7th Edition):

Yang, Xinan. “Top-percentile traffic routing problem.” 2012. Web. 15 Sep 2019.

Vancouver:

Yang X. Top-percentile traffic routing problem. [Internet] [Doctoral dissertation]. University of Edinburgh; 2012. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1842/5883.

Council of Science Editors:

Yang X. Top-percentile traffic routing problem. [Doctoral Dissertation]. University of Edinburgh; 2012. Available from: http://hdl.handle.net/1842/5883


Georgia Tech

19. Ye, Fan. Information relaxation in stochastic optimal control.

Degree: PhD, Industrial and Systems Engineering, 2015, Georgia Tech

 Dynamic programming is a principal method for analyzing stochastic optimal control problems. However, the exact computation of dynamic programming can be intractable in large-scale problems… (more)

Subjects/Keywords: Dynamic programming; Stochastic control; Information relaxation; Duality

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APA (6th Edition):

Ye, F. (2015). Information relaxation in stochastic optimal control. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55511

Chicago Manual of Style (16th Edition):

Ye, Fan. “Information relaxation in stochastic optimal control.” 2015. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/55511.

MLA Handbook (7th Edition):

Ye, Fan. “Information relaxation in stochastic optimal control.” 2015. Web. 15 Sep 2019.

Vancouver:

Ye F. Information relaxation in stochastic optimal control. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/55511.

Council of Science Editors:

Ye F. Information relaxation in stochastic optimal control. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/55511

20. 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 September 15, 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. 15 Sep 2019.

Vancouver:

Lamontagne J. Representation Of Uncertainty And Corridor Dp For Hydropower Optimization . [Internet] [Thesis]. Cornell University; 2015. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1813/39482.

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

Council of Science Editors:

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

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


University of Cambridge

21. Hult, Edward Eric. Stochastic hub and spoke networks.

Degree: PhD, 2011, University of Cambridge

 Transportation systems such as mail, freight, passenger and even telecommunication systems most often employ a hub and spoke network structure since correctly designed they give… (more)

Subjects/Keywords: 658; Stochastic programming; Hub and spoke networks

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APA (6th Edition):

Hult, E. E. (2011). Stochastic hub and spoke networks. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/240611 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541926

Chicago Manual of Style (16th Edition):

Hult, Edward Eric. “Stochastic hub and spoke networks.” 2011. Doctoral Dissertation, University of Cambridge. Accessed September 15, 2019. https://www.repository.cam.ac.uk/handle/1810/240611 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541926.

MLA Handbook (7th Edition):

Hult, Edward Eric. “Stochastic hub and spoke networks.” 2011. Web. 15 Sep 2019.

Vancouver:

Hult EE. Stochastic hub and spoke networks. [Internet] [Doctoral dissertation]. University of Cambridge; 2011. [cited 2019 Sep 15]. Available from: https://www.repository.cam.ac.uk/handle/1810/240611 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541926.

Council of Science Editors:

Hult EE. Stochastic hub and spoke networks. [Doctoral Dissertation]. University of Cambridge; 2011. Available from: https://www.repository.cam.ac.uk/handle/1810/240611 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541926


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 September 15, 2019. http://hdl.handle.net/2097/35393.

MLA Handbook (7th Edition):

Newell, Sarah. “Optimizing daily fantasy sports contests through stochastic integer programming.” 2017. Web. 15 Sep 2019.

Vancouver:

Newell S. Optimizing daily fantasy sports contests through stochastic integer programming. [Internet] [Masters thesis]. Kansas State University; 2017. [cited 2019 Sep 15]. 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


Rutgers University

23. Collado, Ricardo, 1975-. Scenario decomposition of risk-averse stochastic optimization problems.

Degree: PhD, Operations Research, 2010, Rutgers University

In the last decade the theory of coherent risk measures established itself as an alternative to expected utility models of risk averse preferences in stochastic(more)

Subjects/Keywords: Stochastic programming; Decomposition (Mathematics); Risk-return relationships

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APA (6th Edition):

Collado, Ricardo, 1. (2010). Scenario decomposition of risk-averse stochastic optimization problems. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056283

Chicago Manual of Style (16th Edition):

Collado, Ricardo, 1975-. “Scenario decomposition of risk-averse stochastic optimization problems.” 2010. Doctoral Dissertation, Rutgers University. Accessed September 15, 2019. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056283.

MLA Handbook (7th Edition):

Collado, Ricardo, 1975-. “Scenario decomposition of risk-averse stochastic optimization problems.” 2010. Web. 15 Sep 2019.

Vancouver:

Collado, Ricardo 1. Scenario decomposition of risk-averse stochastic optimization problems. [Internet] [Doctoral dissertation]. Rutgers University; 2010. [cited 2019 Sep 15]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056283.

Council of Science Editors:

Collado, Ricardo 1. Scenario decomposition of risk-averse stochastic optimization problems. [Doctoral Dissertation]. Rutgers University; 2010. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056283


Georgia Tech

24. Zou, Jikai. Large scale multistage stochastic integer programming with applications in electric power systems.

Degree: PhD, Industrial and Systems Engineering, 2017, Georgia Tech

 Multistage stochastic integer programming (MSIP) is a framework for sequential decision making under uncertainty, where the uncertainty is modeled by a general stochastic process, and… (more)

Subjects/Keywords: Multistage stochastic integer programming; Stochastic dual dynamic programming; Power systems; Generation expansion planning; Unit commitment

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

APA (6th Edition):

Zou, J. (2017). Large scale multistage stochastic integer programming with applications in electric power systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59102

Chicago Manual of Style (16th Edition):

Zou, Jikai. “Large scale multistage stochastic integer programming with applications in electric power systems.” 2017. Doctoral Dissertation, Georgia Tech. Accessed September 15, 2019. http://hdl.handle.net/1853/59102.

MLA Handbook (7th Edition):

Zou, Jikai. “Large scale multistage stochastic integer programming with applications in electric power systems.” 2017. Web. 15 Sep 2019.

Vancouver:

Zou J. Large scale multistage stochastic integer programming with applications in electric power systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1853/59102.

Council of Science Editors:

Zou J. Large scale multistage stochastic integer programming with applications in electric power systems. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59102

25. Ansari, Saiful Islam. Study of some developments in stochastic programming and their applications; -.

Degree: Statistics, 2014, Aligarh Muslim University

non

Bibliography p.71-98

Advisors/Committee Members: Mohammad, Khalid Masood.

Subjects/Keywords: Stochastic; Stochastic Programming; their Applications

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APA (6th Edition):

Ansari, S. I. (2014). Study of some developments in stochastic programming and their applications; -. (Thesis). Aligarh Muslim University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28650

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):

Ansari, Saiful Islam. “Study of some developments in stochastic programming and their applications; -.” 2014. Thesis, Aligarh Muslim University. Accessed September 15, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/28650.

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

MLA Handbook (7th Edition):

Ansari, Saiful Islam. “Study of some developments in stochastic programming and their applications; -.” 2014. Web. 15 Sep 2019.

Vancouver:

Ansari SI. Study of some developments in stochastic programming and their applications; -. [Internet] [Thesis]. Aligarh Muslim University; 2014. [cited 2019 Sep 15]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28650.

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

Council of Science Editors:

Ansari SI. Study of some developments in stochastic programming and their applications; -. [Thesis]. Aligarh Muslim University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28650

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

26. Bakhshi, Ziaul Hassan. Stochastic integer programming in stratified sampling; -.

Degree: Statistics, 2014, Aligarh Muslim University

non

Bibliography p.90-114

Advisors/Committee Members: Mohammad, Masood Khalid.

Subjects/Keywords: Stochastic; Programming; Sampling; Stochastic Integer

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APA (6th Edition):

Bakhshi, Z. H. (2014). Stochastic integer programming in stratified sampling; -. (Thesis). Aligarh Muslim University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28678

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):

Bakhshi, Ziaul Hassan. “Stochastic integer programming in stratified sampling; -.” 2014. Thesis, Aligarh Muslim University. Accessed September 15, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/28678.

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

MLA Handbook (7th Edition):

Bakhshi, Ziaul Hassan. “Stochastic integer programming in stratified sampling; -.” 2014. Web. 15 Sep 2019.

Vancouver:

Bakhshi ZH. Stochastic integer programming in stratified sampling; -. [Internet] [Thesis]. Aligarh Muslim University; 2014. [cited 2019 Sep 15]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28678.

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

Council of Science Editors:

Bakhshi ZH. Stochastic integer programming in stratified sampling; -. [Thesis]. Aligarh Muslim University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28678

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


Columbia University

27. Bhat, Nikhil. Tractable approximation algorithms for high dimensional sequential optimization problems.

Degree: 2016, Columbia University

 Sequential decision making problems are ubiquitous in a number of research areas such as operations research, finance, engineering and computer science. The main challenge with… (more)

Subjects/Keywords: Dynamic programming; Stochastic approximation; Stochastic control theory; Markov processes; Operations research

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APA (6th Edition):

Bhat, N. (2016). Tractable approximation algorithms for high dimensional sequential optimization problems. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8JQ10W8

Chicago Manual of Style (16th Edition):

Bhat, Nikhil. “Tractable approximation algorithms for high dimensional sequential optimization problems.” 2016. Doctoral Dissertation, Columbia University. Accessed September 15, 2019. https://doi.org/10.7916/D8JQ10W8.

MLA Handbook (7th Edition):

Bhat, Nikhil. “Tractable approximation algorithms for high dimensional sequential optimization problems.” 2016. Web. 15 Sep 2019.

Vancouver:

Bhat N. Tractable approximation algorithms for high dimensional sequential optimization problems. [Internet] [Doctoral dissertation]. Columbia University; 2016. [cited 2019 Sep 15]. Available from: https://doi.org/10.7916/D8JQ10W8.

Council of Science Editors:

Bhat N. Tractable approximation algorithms for high dimensional sequential optimization problems. [Doctoral Dissertation]. Columbia University; 2016. Available from: https://doi.org/10.7916/D8JQ10W8


University of Arizona

28. Harris, Cliff Andrew, 1942-. THE CONTROL OF NONLINEAR STOCHASTIC CONTROL SYSTEMS UNDER DISCOUNTED PERFORMANCE CRITERIA .

Degree: 1970, University of Arizona

Subjects/Keywords: Stochastic processes.; Stochastic programming.

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APA (6th Edition):

Harris, Cliff Andrew, 1. (1970). THE CONTROL OF NONLINEAR STOCHASTIC CONTROL SYSTEMS UNDER DISCOUNTED PERFORMANCE CRITERIA . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/287564

Chicago Manual of Style (16th Edition):

Harris, Cliff Andrew, 1942-. “THE CONTROL OF NONLINEAR STOCHASTIC CONTROL SYSTEMS UNDER DISCOUNTED PERFORMANCE CRITERIA .” 1970. Doctoral Dissertation, University of Arizona. Accessed September 15, 2019. http://hdl.handle.net/10150/287564.

MLA Handbook (7th Edition):

Harris, Cliff Andrew, 1942-. “THE CONTROL OF NONLINEAR STOCHASTIC CONTROL SYSTEMS UNDER DISCOUNTED PERFORMANCE CRITERIA .” 1970. Web. 15 Sep 2019.

Vancouver:

Harris, Cliff Andrew 1. THE CONTROL OF NONLINEAR STOCHASTIC CONTROL SYSTEMS UNDER DISCOUNTED PERFORMANCE CRITERIA . [Internet] [Doctoral dissertation]. University of Arizona; 1970. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/10150/287564.

Council of Science Editors:

Harris, Cliff Andrew 1. THE CONTROL OF NONLINEAR STOCHASTIC CONTROL SYSTEMS UNDER DISCOUNTED PERFORMANCE CRITERIA . [Doctoral Dissertation]. University of Arizona; 1970. Available from: http://hdl.handle.net/10150/287564


Texas A&M University

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

Degree: 2013, Texas A&M University

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Word, Daniel Paul. “Nonlinear Programming Approaches for Efficient Large-Scale Parameter Estimation with Applications in Epidemiology.” 2013. Thesis, Texas A&M University. Accessed September 15, 2019. http://hdl.handle.net/1969.1/151166.

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

MLA Handbook (7th Edition):

Word, Daniel Paul. “Nonlinear Programming Approaches for Efficient Large-Scale Parameter Estimation with Applications in Epidemiology.” 2013. Web. 15 Sep 2019.

Vancouver:

Word DP. Nonlinear Programming Approaches for Efficient Large-Scale Parameter Estimation with Applications in Epidemiology. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 Sep 15]. Available from: http://hdl.handle.net/1969.1/151166.

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

Council of Science Editors:

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

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

30. Ho, Jonathan L. Stochastic Co-optimization for National Transmission Planning Under Environmental Regulation.

Degree: 2014, Johns Hopkins University

 Transmission planners must make investment decisions in response to rapid changes impacting the US electric power system to ensure that power remains affordable and reliable.… (more)

Subjects/Keywords: Transmission Planning; Co-optimization; Mixed Integer Programming; Stochastic Programming; Uncertianty

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APA (6th Edition):

Ho, J. L. (2014). Stochastic Co-optimization for National Transmission Planning Under Environmental Regulation. (Thesis). Johns Hopkins University. Retrieved from http://jhir.library.jhu.edu/handle/1774.2/37101

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):

Ho, Jonathan L. “Stochastic Co-optimization for National Transmission Planning Under Environmental Regulation.” 2014. Thesis, Johns Hopkins University. Accessed September 15, 2019. http://jhir.library.jhu.edu/handle/1774.2/37101.

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

MLA Handbook (7th Edition):

Ho, Jonathan L. “Stochastic Co-optimization for National Transmission Planning Under Environmental Regulation.” 2014. Web. 15 Sep 2019.

Vancouver:

Ho JL. Stochastic Co-optimization for National Transmission Planning Under Environmental Regulation. [Internet] [Thesis]. Johns Hopkins University; 2014. [cited 2019 Sep 15]. Available from: http://jhir.library.jhu.edu/handle/1774.2/37101.

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

Council of Science Editors:

Ho JL. Stochastic Co-optimization for National Transmission Planning Under Environmental Regulation. [Thesis]. Johns Hopkins University; 2014. Available from: http://jhir.library.jhu.edu/handle/1774.2/37101

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

[1] [2] [3] [4] [5] … [19]

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