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University of New South Wales

1.
Wu, Wei.
Limitations of dynamic *programming* approach: singularity and time inconsistency.

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

URL: http://handle.unsw.edu.au/1959.4/56208 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40264/SOURCE02?view=true

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

APA (6^{th} 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 (16^{th} Edition):

Wu, Wei. “Limitations of dynamic programming approach: singularity and time inconsistency.” 2016. Doctoral Dissertation, University of New South Wales. Accessed November 11, 2019. http://handle.unsw.edu.au/1959.4/56208 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40264/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Wu, Wei. “Limitations of dynamic programming approach: singularity and time inconsistency.” 2016. Web. 11 Nov 2019.

Vancouver:

Wu W. Limitations of dynamic programming approach: singularity and time inconsistency. [Internet] [Doctoral dissertation]. University of New South Wales; 2016. [cited 2019 Nov 11]. 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

Princeton University

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

Degree: PhD, 2018, Princeton University

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

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

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

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APA (6^{th} Edition):

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

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

Perkins, Raymond Theodore. “Multistage Stochastic Programming with Parametric Cost Function Approximations .” 2018. Doctoral Dissertation, Princeton University. Accessed November 11, 2019. http://arks.princeton.edu/ark:/88435/dsp018c97kt118.

MLA Handbook (7^{th} Edition):

Perkins, Raymond Theodore. “Multistage Stochastic Programming with Parametric Cost Function Approximations .” 2018. Web. 11 Nov 2019.

Vancouver:

Perkins RT. Multistage Stochastic Programming with Parametric Cost Function Approximations . [Internet] [Doctoral dissertation]. Princeton University; 2018. [cited 2019 Nov 11]. 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

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

URL: http://hdl.handle.net/10222/13309

► 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 (6^{th} 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 (16^{th} Edition):

Comeau, Jules. “A STOCHASTIC DYNAMIC PROGRAMMING APPROACH FOR OPTIMIZING MIXED-SPECIES FOREST STAND MANAGEMENT POLICIES.” 2011. Doctoral Dissertation, Dalhousie University. Accessed November 11, 2019. http://hdl.handle.net/10222/13309.

MLA Handbook (7^{th} Edition):

Comeau, Jules. “A STOCHASTIC DYNAMIC PROGRAMMING APPROACH FOR OPTIMIZING MIXED-SPECIES FOREST STAND MANAGEMENT POLICIES.” 2011. Web. 11 Nov 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 Nov 11]. 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

URL: http://hdl.handle.net/1969.1/ETD-TAMU-1801

► 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 (6^{th} 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 (16^{th} Edition):

Lee, Won Ju. “A stochastic mixed integer programming approach to wildfire management systems.” 2009. Thesis, Texas A&M University. Accessed November 11, 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 (7^{th} Edition):

Lee, Won Ju. “A stochastic mixed integer programming approach to wildfire management systems.” 2009. Web. 11 Nov 2019.

Vancouver:

Lee WJ. A stochastic mixed integer programming approach to wildfire management systems. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Nov 11]. 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

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

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

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

Subjects/Keywords: fuel treatment; optimization; stochastic programming

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APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

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

Kabli, Mohannad Reda A. “Stochastic Programming Model for Fuel Treatment Management.” 2014. Thesis, Texas A&M University. Accessed November 11, 2019. http://hdl.handle.net/1969.1/152840.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Kabli, Mohannad Reda A. “Stochastic Programming Model for Fuel Treatment Management.” 2014. Web. 11 Nov 2019.

Vancouver:

Kabli MRA. Stochastic Programming Model for Fuel Treatment Management. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Nov 11]. Available from: http://hdl.handle.net/1969.1/152840.

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

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

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/347957/rec/7801

► 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 (6^{th} 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 (16^{th} Edition):

Chen, Kai. “Variants of stochastic knapsack problems.” 2013. Doctoral Dissertation, University of Southern California. Accessed November 11, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/347957/rec/7801.

MLA Handbook (7^{th} Edition):

Chen, Kai. “Variants of stochastic knapsack problems.” 2013. Web. 11 Nov 2019.

Vancouver:

Chen K. Variants of stochastic knapsack problems. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Nov 11]. 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

URL: http://hdl.handle.net/10657/3579

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

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

Cho, Jaeyoung. “Maritime Vehicle Routing under Uncertainty: Liquefied Natural Gas Shipping and Offshore Pipeline Damage Assessment Problems.” 2016. Thesis, University of Houston. Accessed November 11, 2019. http://hdl.handle.net/10657/3579.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Cho, Jaeyoung. “Maritime Vehicle Routing under Uncertainty: Liquefied Natural Gas Shipping and Offshore Pipeline Damage Assessment Problems.” 2016. Web. 11 Nov 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 Nov 11]. Available from: http://hdl.handle.net/10657/3579.

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

Not specified: Masters Thesis or Doctoral Dissertation

University of Waterloo

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

Degree: 2011, University of Waterloo

URL: http://hdl.handle.net/10012/6241

► 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 (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Shateri, Mahsa. “Task Optimization and Workforce Scheduling.” 2011. Thesis, University of Waterloo. Accessed November 11, 2019. http://hdl.handle.net/10012/6241.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Shateri, Mahsa. “Task Optimization and Workforce Scheduling.” 2011. Web. 11 Nov 2019.

Vancouver:

Shateri M. Task Optimization and Workforce Scheduling. [Internet] [Thesis]. University of Waterloo; 2011. [cited 2019 Nov 11]. Available from: http://hdl.handle.net/10012/6241.

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

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

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/44321/

► 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 (6^{th} 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 (16^{th} Edition):

Xu, Chuan. “Simulation approach to two-stage bond portfolio optimization problem.” 2014. Masters Thesis, Rutgers University. Accessed November 11, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/44321/.

MLA Handbook (7^{th} Edition):

Xu, Chuan. “Simulation approach to two-stage bond portfolio optimization problem.” 2014. Web. 11 Nov 2019.

Vancouver:

Xu C. Simulation approach to two-stage bond portfolio optimization problem. [Internet] [Masters thesis]. Rutgers University; 2014. [cited 2019 Nov 11]. 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

URL: http://hdl.handle.net/2152/62105

► 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 (6^{th} 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 (16^{th} Edition):

Fayvisovich, Roman. “Martingale-generated control structures and a framework for the dynamic programming principle.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed November 11, 2019. http://hdl.handle.net/2152/62105.

MLA Handbook (7^{th} Edition):

Fayvisovich, Roman. “Martingale-generated control structures and a framework for the dynamic programming principle.” 2017. Web. 11 Nov 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 Nov 11]. 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

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

URL: https://scholar.uwindsor.ca/etd/5629

► 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 (6^{th} 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 (16^{th} Edition):

Britt, Justin William. “Stochastic Goal Programming and a Metaheuristic for Scheduling of Operating Rooms.” 2015. Masters Thesis, University of Windsor. Accessed November 11, 2019. https://scholar.uwindsor.ca/etd/5629.

MLA Handbook (7^{th} Edition):

Britt, Justin William. “Stochastic Goal Programming and a Metaheuristic for Scheduling of Operating Rooms.” 2015. Web. 11 Nov 2019.

Vancouver:

Britt JW. Stochastic Goal Programming and a Metaheuristic for Scheduling of Operating Rooms. [Internet] [Masters thesis]. University of Windsor; 2015. [cited 2019 Nov 11]. 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

URL: https://doi.org/10.31979/etd.x8dn-588y ; https://scholarworks.sjsu.edu/etd_theses/5022

► 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 (6^{th} 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 (16^{th} Edition):

Zhou, Siqiong. “A Spatial Optimization Model for Resource Allocation for Wildfire Suppression and Resident Evacuation.” 2019. Masters Thesis, San Jose State University. Accessed November 11, 2019. https://doi.org/10.31979/etd.x8dn-588y ; https://scholarworks.sjsu.edu/etd_theses/5022.

MLA Handbook (7^{th} Edition):

Zhou, Siqiong. “A Spatial Optimization Model for Resource Allocation for Wildfire Suppression and Resident Evacuation.” 2019. Web. 11 Nov 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 Nov 11]. 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

URL: http://hdl.handle.net/1853/29624

► 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 (6^{th} 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 (16^{th} Edition):

Vielma Centeno, Juan Pablo. “Mixed integer programming approaches for nonlinear and stochastic programming.” 2009. Doctoral Dissertation, Georgia Tech. Accessed November 11, 2019. http://hdl.handle.net/1853/29624.

MLA Handbook (7^{th} Edition):

Vielma Centeno, Juan Pablo. “Mixed integer programming approaches for nonlinear and stochastic programming.” 2009. Web. 11 Nov 2019.

Vancouver:

Vielma Centeno JP. Mixed integer programming approaches for nonlinear and stochastic programming. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Nov 11]. 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

URL: https://digitalcommons.wku.edu/theses/1236

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

APA (6^{th} 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 (16^{th} Edition):

Cheng, Gang. “Analyzing and Solving Non-Linear Stochastic Dynamic Models on Non-Periodic Discrete Time Domains.” 2013. Masters Thesis, Western Kentucky University. Accessed November 11, 2019. https://digitalcommons.wku.edu/theses/1236.

MLA Handbook (7^{th} Edition):

Cheng, Gang. “Analyzing and Solving Non-Linear Stochastic Dynamic Models on Non-Periodic Discrete Time Domains.” 2013. Web. 11 Nov 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 Nov 11]. 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

URL: http://hdl.handle.net/1853/51862

► 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 (6^{th} 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 (16^{th} Edition):

Angulo Olivares, Gustavo, I. “Integer programming approaches for semicontinuous and stochastic optimization.” 2014. Doctoral Dissertation, Georgia Tech. Accessed November 11, 2019. http://hdl.handle.net/1853/51862.

MLA Handbook (7^{th} Edition):

Angulo Olivares, Gustavo, I. “Integer programming approaches for semicontinuous and stochastic optimization.” 2014. Web. 11 Nov 2019.

Vancouver:

Angulo Olivares, Gustavo I. Integer programming approaches for semicontinuous and stochastic optimization. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Nov 11]. 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

URL: http://hdl.handle.net/1969.1/150943

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

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

Zhang, Liqing. “Stochastic Dynamic Demand Inventory Models with Explicit Transportation Costs and Decisions.” 2011. Thesis, Texas A&M University. Accessed November 11, 2019. http://hdl.handle.net/1969.1/150943.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Zhang, Liqing. “Stochastic Dynamic Demand Inventory Models with Explicit Transportation Costs and Decisions.” 2011. Web. 11 Nov 2019.

Vancouver:

Zhang L. Stochastic Dynamic Demand Inventory Models with Explicit Transportation Costs and Decisions. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 Nov 11]. Available from: http://hdl.handle.net/1969.1/150943.

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

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

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

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

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

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APA (6^{th} Edition):

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

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

Schulze, Tim. “Stochastic programming for hydro-thermal unit commitment.” 2015. Doctoral Dissertation, University of Edinburgh. Accessed November 11, 2019. http://hdl.handle.net/1842/15775.

MLA Handbook (7^{th} Edition):

Schulze, Tim. “Stochastic programming for hydro-thermal unit commitment.” 2015. Web. 11 Nov 2019.

Vancouver:

Schulze T. Stochastic programming for hydro-thermal unit commitment. [Internet] [Doctoral dissertation]. University of Edinburgh; 2015. [cited 2019 Nov 11]. 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

URL: http://hdl.handle.net/1842/5883

► 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 (6^{th} 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 (16^{th} Edition):

Yang, Xinan. “Top-percentile traffic routing problem.” 2012. Doctoral Dissertation, University of Edinburgh. Accessed November 11, 2019. http://hdl.handle.net/1842/5883.

MLA Handbook (7^{th} Edition):

Yang, Xinan. “Top-percentile traffic routing problem.” 2012. Web. 11 Nov 2019.

Vancouver:

Yang X. Top-percentile traffic routing problem. [Internet] [Doctoral dissertation]. University of Edinburgh; 2012. [cited 2019 Nov 11]. 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

URL: http://hdl.handle.net/1853/55511

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

APA (6^{th} 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 (16^{th} Edition):

Ye, Fan. “Information relaxation in stochastic optimal control.” 2015. Doctoral Dissertation, Georgia Tech. Accessed November 11, 2019. http://hdl.handle.net/1853/55511.

MLA Handbook (7^{th} Edition):

Ye, Fan. “Information relaxation in stochastic optimal control.” 2015. Web. 11 Nov 2019.

Vancouver:

Ye F. Information relaxation in stochastic optimal control. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Nov 11]. 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

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

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

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

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APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Lamontagne, Jonathan. “Representation Of Uncertainty And Corridor Dp For Hydropower Optimization .” 2015. Thesis, Cornell University. Accessed November 11, 2019. http://hdl.handle.net/1813/39482.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Lamontagne, Jonathan. “Representation Of Uncertainty And Corridor Dp For Hydropower Optimization .” 2015. Web. 11 Nov 2019.

Vancouver:

Lamontagne J. Representation Of Uncertainty And Corridor Dp For Hydropower Optimization . [Internet] [Thesis]. Cornell University; 2015. [cited 2019 Nov 11]. Available from: http://hdl.handle.net/1813/39482.

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

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

URL: https://www.repository.cam.ac.uk/handle/1810/240611 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541926

► 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 (6^{th} 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 (16^{th} Edition):

Hult, Edward Eric. “Stochastic hub and spoke networks.” 2011. Doctoral Dissertation, University of Cambridge. Accessed November 11, 2019. https://www.repository.cam.ac.uk/handle/1810/240611 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541926.

MLA Handbook (7^{th} Edition):

Hult, Edward Eric. “Stochastic hub and spoke networks.” 2011. Web. 11 Nov 2019.

Vancouver:

Hult EE. Stochastic hub and spoke networks. [Internet] [Doctoral dissertation]. University of Cambridge; 2011. [cited 2019 Nov 11]. 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

URL: http://hdl.handle.net/2097/35393

► 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 (6^{th} 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 (16^{th} Edition):

Newell, Sarah. “Optimizing daily fantasy sports contests through stochastic integer programming.” 2017. Masters Thesis, Kansas State University. Accessed November 11, 2019. http://hdl.handle.net/2097/35393.

MLA Handbook (7^{th} Edition):

Newell, Sarah. “Optimizing daily fantasy sports contests through stochastic integer programming.” 2017. Web. 11 Nov 2019.

Vancouver:

Newell S. Optimizing daily fantasy sports contests through stochastic integer programming. [Internet] [Masters thesis]. Kansas State University; 2017. [cited 2019 Nov 11]. 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

URL: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056283

►

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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} Edition):

Collado, Ricardo, 1975-. “Scenario decomposition of risk-averse stochastic optimization problems.” 2010. Doctoral Dissertation, Rutgers University. Accessed November 11, 2019. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056283.

MLA Handbook (7^{th} Edition):

Collado, Ricardo, 1975-. “Scenario decomposition of risk-averse stochastic optimization problems.” 2010. Web. 11 Nov 2019.

Vancouver:

Collado, Ricardo 1. Scenario decomposition of risk-averse stochastic optimization problems. [Internet] [Doctoral dissertation]. Rutgers University; 2010. [cited 2019 Nov 11]. 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

URL: http://hdl.handle.net/1853/59102

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} Edition):

Zou, Jikai. “Large scale multistage stochastic integer programming with applications in electric power systems.” 2017. Doctoral Dissertation, Georgia Tech. Accessed November 11, 2019. http://hdl.handle.net/1853/59102.

MLA Handbook (7^{th} Edition):

Zou, Jikai. “Large scale multistage stochastic integer programming with applications in electric power systems.” 2017. Web. 11 Nov 2019.

Vancouver:

Zou J. Large scale multistage stochastic integer programming with applications in electric power systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Nov 11]. 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

URL: http://shodhganga.inflibnet.ac.in/handle/10603/28650

Subjects/Keywords: Stochastic; Stochastic Programming; their Applications

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

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

Ansari, Saiful Islam. “Study of some developments in stochastic programming and their applications; -.” 2014. Thesis, Aligarh Muslim University. Accessed November 11, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/28650.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ansari, Saiful Islam. “Study of some developments in stochastic programming and their applications; -.” 2014. Web. 11 Nov 2019.

Vancouver:

Ansari SI. Study of some developments in stochastic programming and their applications; -. [Internet] [Thesis]. Aligarh Muslim University; 2014. [cited 2019 Nov 11]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28650.

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

Not specified: Masters Thesis or Doctoral Dissertation

26.
Bakhshi, Ziaul Hassan.
* Stochastic* integer

Degree: Statistics, 2014, Aligarh Muslim University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/28678

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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

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

Bakhshi, Ziaul Hassan. “Stochastic integer programming in stratified sampling; -.” 2014. Thesis, Aligarh Muslim University. Accessed November 11, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/28678.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Bakhshi, Ziaul Hassan. “Stochastic integer programming in stratified sampling; -.” 2014. Web. 11 Nov 2019.

Vancouver:

Bakhshi ZH. Stochastic integer programming in stratified sampling; -. [Internet] [Thesis]. Aligarh Muslim University; 2014. [cited 2019 Nov 11]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28678.

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

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

URL: https://doi.org/10.7916/D8JQ10W8

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

APA (6^{th} 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 (16^{th} Edition):

Bhat, Nikhil. “Tractable approximation algorithms for high dimensional sequential optimization problems.” 2016. Doctoral Dissertation, Columbia University. Accessed November 11, 2019. https://doi.org/10.7916/D8JQ10W8.

MLA Handbook (7^{th} Edition):

Bhat, Nikhil. “Tractable approximation algorithms for high dimensional sequential optimization problems.” 2016. Web. 11 Nov 2019.

Vancouver:

Bhat N. Tractable approximation algorithms for high dimensional sequential optimization problems. [Internet] [Doctoral dissertation]. Columbia University; 2016. [cited 2019 Nov 11]. 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

URL: http://hdl.handle.net/10150/287564

Subjects/Keywords: Stochastic processes.; Stochastic programming.

Record Details Similar Records

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

APA (6^{th} Edition):

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 (16^{th} Edition):

Harris, Cliff Andrew, 1942-. “THE CONTROL OF NONLINEAR STOCHASTIC CONTROL SYSTEMS UNDER DISCOUNTED PERFORMANCE CRITERIA .” 1970. Doctoral Dissertation, University of Arizona. Accessed November 11, 2019. http://hdl.handle.net/10150/287564.

MLA Handbook (7^{th} Edition):

Harris, Cliff Andrew, 1942-. “THE CONTROL OF NONLINEAR STOCHASTIC CONTROL SYSTEMS UNDER DISCOUNTED PERFORMANCE CRITERIA .” 1970. Web. 11 Nov 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 Nov 11]. 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

URL: http://hdl.handle.net/1969.1/151166

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

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

Word, Daniel Paul. “Nonlinear Programming Approaches for Efficient Large-Scale Parameter Estimation with Applications in Epidemiology.” 2013. Thesis, Texas A&M University. Accessed November 11, 2019. http://hdl.handle.net/1969.1/151166.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Word, Daniel Paul. “Nonlinear Programming Approaches for Efficient Large-Scale Parameter Estimation with Applications in Epidemiology.” 2013. Web. 11 Nov 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 Nov 11]. Available from: http://hdl.handle.net/1969.1/151166.

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

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

URL: http://jhir.library.jhu.edu/handle/1774.2/37101

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

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

Ho, Jonathan L. “Stochastic Co-optimization for National Transmission Planning Under Environmental Regulation.” 2014. Thesis, Johns Hopkins University. Accessed November 11, 2019. http://jhir.library.jhu.edu/handle/1774.2/37101.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ho, Jonathan L. “Stochastic Co-optimization for National Transmission Planning Under Environmental Regulation.” 2014. Web. 11 Nov 2019.

Vancouver:

Ho JL. Stochastic Co-optimization for National Transmission Planning Under Environmental Regulation. [Internet] [Thesis]. Johns Hopkins University; 2014. [cited 2019 Nov 11]. Available from: http://jhir.library.jhu.edu/handle/1774.2/37101.

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

Not specified: Masters Thesis or Doctoral Dissertation