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- 2015 – 2019 (64)
- 2010 – 2014 (84)
- 2005 – 2009 (50)
- 2000 – 2004 (15)

Universities

- ETH Zürich (43)
- University of Florida (12)
- Indian Institute of Science (10)

Degrees

- PhD (46)
- Docteur es (18)

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- US (69)
- Switzerland (44)
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- Canada (11)
- India (10)

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University of Georgia

1.
Zhuang, Chao.
*Stochastic**approximation* methods and applications in financial optimization problems.

Degree: PhD, Mathematics, 2008, University of Georgia

URL: http://purl.galileo.usg.edu/uga_etd/zhuang_chao_200808_phd

► Optimizations play an increasingly indispensable role in financial decisions and financial models. Many problems in mathematical finance, such as asset allocation, trading strategy, and derivative…
(more)

Subjects/Keywords: Stochastic Approximation

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

APA (6^{th} Edition):

Zhuang, C. (2008). Stochastic approximation methods and applications in financial optimization problems. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/zhuang_chao_200808_phd

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

Zhuang, Chao. “Stochastic approximation methods and applications in financial optimization problems.” 2008. Doctoral Dissertation, University of Georgia. Accessed February 20, 2019. http://purl.galileo.usg.edu/uga_etd/zhuang_chao_200808_phd.

MLA Handbook (7^{th} Edition):

Zhuang, Chao. “Stochastic approximation methods and applications in financial optimization problems.” 2008. Web. 20 Feb 2019.

Vancouver:

Zhuang C. Stochastic approximation methods and applications in financial optimization problems. [Internet] [Doctoral dissertation]. University of Georgia; 2008. [cited 2019 Feb 20]. Available from: http://purl.galileo.usg.edu/uga_etd/zhuang_chao_200808_phd.

Council of Science Editors:

Zhuang C. Stochastic approximation methods and applications in financial optimization problems. [Doctoral Dissertation]. University of Georgia; 2008. Available from: http://purl.galileo.usg.edu/uga_etd/zhuang_chao_200808_phd

Texas A&M University

2.
Cheng, Yichen.
*Stochastic**Approximation* and Its Application in MCMC.

Degree: 2013, Texas A&M University

URL: http://hdl.handle.net/1969.1/151016

► *Stochastic* *approximation* has been widely used since first proposed by Herbert Robbins and Sutton Monro in 1951. It is an iterative *stochastic* method that attempts…
(more)

Subjects/Keywords: stochastic approximation

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APA (6^{th} Edition):

Cheng, Y. (2013). Stochastic Approximation and Its Application in MCMC. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151016

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):

Cheng, Yichen. “Stochastic Approximation and Its Application in MCMC.” 2013. Thesis, Texas A&M University. Accessed February 20, 2019. http://hdl.handle.net/1969.1/151016.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Cheng, Yichen. “Stochastic Approximation and Its Application in MCMC.” 2013. Web. 20 Feb 2019.

Vancouver:

Cheng Y. Stochastic Approximation and Its Application in MCMC. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/1969.1/151016.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cheng Y. Stochastic Approximation and Its Application in MCMC. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151016

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

3. Kannan, Aswin. Distributed Algorithms for Optimization and.

Degree: PhD, Industrial Engineering, 2014, Penn State University

URL: https://etda.libraries.psu.edu/catalog/24252

► This dissertation considers three sets of problems arising from optimization and game-theoretic problems complicated by the presence of uncertainty, limited information, and problem misspecification. Broadly…
(more)

Subjects/Keywords: Variational inequalities; distributed algorithm; stochastic approximation; pseudomonotone.

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APA (6^{th} Edition):

Kannan, A. (2014). Distributed Algorithms for Optimization and. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/24252

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

Kannan, Aswin. “Distributed Algorithms for Optimization and.” 2014. Doctoral Dissertation, Penn State University. Accessed February 20, 2019. https://etda.libraries.psu.edu/catalog/24252.

MLA Handbook (7^{th} Edition):

Kannan, Aswin. “Distributed Algorithms for Optimization and.” 2014. Web. 20 Feb 2019.

Vancouver:

Kannan A. Distributed Algorithms for Optimization and. [Internet] [Doctoral dissertation]. Penn State University; 2014. [cited 2019 Feb 20]. Available from: https://etda.libraries.psu.edu/catalog/24252.

Council of Science Editors:

Kannan A. Distributed Algorithms for Optimization and. [Doctoral Dissertation]. Penn State University; 2014. Available from: https://etda.libraries.psu.edu/catalog/24252

University of Edinburgh

4.
Schnoerr, David Benjamin.
* Approximation* methods and inference for

Degree: PhD, 2016, University of Edinburgh

URL: http://hdl.handle.net/1842/25444

► Recent experiments have shown the fundamental role that random fluctuations play in many chemical systems in living cells, such as gene regulatory networks. Mathematical models…
(more)

Subjects/Keywords: stochastic processes; approximation methods; statistical inference

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APA (6^{th} Edition):

Schnoerr, D. B. (2016). Approximation methods and inference for stochastic biochemical kinetics. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/25444

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

Schnoerr, David Benjamin. “Approximation methods and inference for stochastic biochemical kinetics.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed February 20, 2019. http://hdl.handle.net/1842/25444.

MLA Handbook (7^{th} Edition):

Schnoerr, David Benjamin. “Approximation methods and inference for stochastic biochemical kinetics.” 2016. Web. 20 Feb 2019.

Vancouver:

Schnoerr DB. Approximation methods and inference for stochastic biochemical kinetics. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/1842/25444.

Council of Science Editors:

Schnoerr DB. Approximation methods and inference for stochastic biochemical kinetics. [Doctoral Dissertation]. University of Edinburgh; 2016. Available from: http://hdl.handle.net/1842/25444

University of Arizona

5.
Leach, Andrew Bradford.
Monte Carlo Methods for *Stochastic* Differential Equations and their Applications
.

Degree: 2017, University of Arizona

URL: http://hdl.handle.net/10150/624570

► We introduce computationally efficient Monte Carlo methods for studying the statistics of *stochastic* differential equations in two distinct settings. In the first, we derive importance…
(more)

Subjects/Keywords: Continuation; Gaussian Approximation; Importance Sampling; Monte Carlo Methods; Stochastic Approximation; Stochastic Differential Equations

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

APA (6^{th} Edition):

Leach, A. B. (2017). Monte Carlo Methods for Stochastic Differential Equations and their Applications . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/624570

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

Leach, Andrew Bradford. “Monte Carlo Methods for Stochastic Differential Equations and their Applications .” 2017. Doctoral Dissertation, University of Arizona. Accessed February 20, 2019. http://hdl.handle.net/10150/624570.

MLA Handbook (7^{th} Edition):

Leach, Andrew Bradford. “Monte Carlo Methods for Stochastic Differential Equations and their Applications .” 2017. Web. 20 Feb 2019.

Vancouver:

Leach AB. Monte Carlo Methods for Stochastic Differential Equations and their Applications . [Internet] [Doctoral dissertation]. University of Arizona; 2017. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/10150/624570.

Council of Science Editors:

Leach AB. Monte Carlo Methods for Stochastic Differential Equations and their Applications . [Doctoral Dissertation]. University of Arizona; 2017. Available from: http://hdl.handle.net/10150/624570

Columbia University

6.
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 (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 February 20, 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. 20 Feb 2019.

Vancouver:

Bhat N. Tractable approximation algorithms for high dimensional sequential optimization problems. [Internet] [Doctoral dissertation]. Columbia University; 2016. [cited 2019 Feb 20]. 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

Indian Institute of Science

7.
Reddy, Danda Sai Koti.
* Stochastic* Newton Methods With Enhanced Hessian Estimation.

Degree: 2017, Indian Institute of Science

URL: http://etd.iisc.ernet.in/2005/3582 ; http://etd.iisc.ernet.in/abstracts/4450/G28169-Abs.pdf

► Optimization problems involving uncertainties are common in a variety of engineering disciplines such as transportation systems, manufacturing, communication networks, healthcare and finance. The large number…
(more)

Subjects/Keywords: Stochastic Newton Methods; Hessian Estimation; Simultaneous Perturbation Stochastic Approximation (SPSA); Random Directions Stochastic Approximation (RDSA); Finite-difference Stochastic Approximation (FDSA); Hessian Estimation Scheme; Computer Science

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APA (6^{th} Edition):

Reddy, D. S. K. (2017). Stochastic Newton Methods With Enhanced Hessian Estimation. (Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ernet.in/2005/3582 ; http://etd.iisc.ernet.in/abstracts/4450/G28169-Abs.pdf

Not specified: Masters Thesis or Doctoral Dissertation

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

Reddy, Danda Sai Koti. “Stochastic Newton Methods With Enhanced Hessian Estimation.” 2017. Thesis, Indian Institute of Science. Accessed February 20, 2019. http://etd.iisc.ernet.in/2005/3582 ; http://etd.iisc.ernet.in/abstracts/4450/G28169-Abs.pdf.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Reddy, Danda Sai Koti. “Stochastic Newton Methods With Enhanced Hessian Estimation.” 2017. Web. 20 Feb 2019.

Vancouver:

Reddy DSK. Stochastic Newton Methods With Enhanced Hessian Estimation. [Internet] [Thesis]. Indian Institute of Science; 2017. [cited 2019 Feb 20]. Available from: http://etd.iisc.ernet.in/2005/3582 ; http://etd.iisc.ernet.in/abstracts/4450/G28169-Abs.pdf.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Reddy DSK. Stochastic Newton Methods With Enhanced Hessian Estimation. [Thesis]. Indian Institute of Science; 2017. Available from: http://etd.iisc.ernet.in/2005/3582 ; http://etd.iisc.ernet.in/abstracts/4450/G28169-Abs.pdf

Not specified: Masters Thesis or Doctoral Dissertation

8. Ait El Faqir, Marouane. Prédiction de la structure de contrôle de bactéries par optimisation sous incertitude : Magnetic resonance elastography : contributions to acquisition and reconstruction of the shear modulus : association with quasi-static ultrasound elastography to study the effect of pre-strain.

Degree: Docteur es, Automatique, 2016, Lyon

URL: http://www.theses.fr/2016LYSEC036

►

L'approche de la biologie des systèmes vise à intégrer les méthodologies appliquées dans la conception et l'analyse des systèmes technologiques complexes, au sein de la… (more)

Subjects/Keywords: Optimisation stochastique; Méthodes du Premier Ordre; Optimisation déterministe; Approximation Stochastique; RBA; Stochastic optimization; First Order Methods; Deterministic optimisation; Stochastic Approximation; RBA

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

APA (6^{th} Edition):

Ait El Faqir, M. (2016). Prédiction de la structure de contrôle de bactéries par optimisation sous incertitude : Magnetic resonance elastography : contributions to acquisition and reconstruction of the shear modulus : association with quasi-static ultrasound elastography to study the effect of pre-strain. (Doctoral Dissertation). Lyon. Retrieved from http://www.theses.fr/2016LYSEC036

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

Ait El Faqir, Marouane. “Prédiction de la structure de contrôle de bactéries par optimisation sous incertitude : Magnetic resonance elastography : contributions to acquisition and reconstruction of the shear modulus : association with quasi-static ultrasound elastography to study the effect of pre-strain.” 2016. Doctoral Dissertation, Lyon. Accessed February 20, 2019. http://www.theses.fr/2016LYSEC036.

MLA Handbook (7^{th} Edition):

Ait El Faqir, Marouane. “Prédiction de la structure de contrôle de bactéries par optimisation sous incertitude : Magnetic resonance elastography : contributions to acquisition and reconstruction of the shear modulus : association with quasi-static ultrasound elastography to study the effect of pre-strain.” 2016. Web. 20 Feb 2019.

Vancouver:

Ait El Faqir M. Prédiction de la structure de contrôle de bactéries par optimisation sous incertitude : Magnetic resonance elastography : contributions to acquisition and reconstruction of the shear modulus : association with quasi-static ultrasound elastography to study the effect of pre-strain. [Internet] [Doctoral dissertation]. Lyon; 2016. [cited 2019 Feb 20]. Available from: http://www.theses.fr/2016LYSEC036.

Council of Science Editors:

Ait El Faqir M. Prédiction de la structure de contrôle de bactéries par optimisation sous incertitude : Magnetic resonance elastography : contributions to acquisition and reconstruction of the shear modulus : association with quasi-static ultrasound elastography to study the effect of pre-strain. [Doctoral Dissertation]. Lyon; 2016. Available from: http://www.theses.fr/2016LYSEC036

Loughborough University

9.
Yevik, Andrei.
Numerical approximations to the stationary solutions of *stochastic* differential equations.

Degree: 2011, Loughborough University

URL: https://dspace.lboro.ac.uk/2134/7777 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.551266

► This thesis investigates the possibility of approximating stationary solutions of *stochastic* differential equations using numerical methods. We consider a particular class of *stochastic* differential equations,…
(more)

Subjects/Keywords: 511.4; Random dynamical system : Stochastic differential equation : Stochastic stationery solution : Numerical approximation : Euler’s method

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

APA (6^{th} Edition):

Yevik, A. (2011). Numerical approximations to the stationary solutions of stochastic differential equations. (Doctoral Dissertation). Loughborough University. Retrieved from https://dspace.lboro.ac.uk/2134/7777 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.551266

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

Yevik, Andrei. “Numerical approximations to the stationary solutions of stochastic differential equations.” 2011. Doctoral Dissertation, Loughborough University. Accessed February 20, 2019. https://dspace.lboro.ac.uk/2134/7777 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.551266.

MLA Handbook (7^{th} Edition):

Yevik, Andrei. “Numerical approximations to the stationary solutions of stochastic differential equations.” 2011. Web. 20 Feb 2019.

Vancouver:

Yevik A. Numerical approximations to the stationary solutions of stochastic differential equations. [Internet] [Doctoral dissertation]. Loughborough University; 2011. [cited 2019 Feb 20]. Available from: https://dspace.lboro.ac.uk/2134/7777 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.551266.

Council of Science Editors:

Yevik A. Numerical approximations to the stationary solutions of stochastic differential equations. [Doctoral Dissertation]. Loughborough University; 2011. Available from: https://dspace.lboro.ac.uk/2134/7777 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.551266

10. Saha, Roshmik. On Consistent Mapping in Distributed Environments using Mobile Sensors.

Degree: 2011, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9718

► The problem of robotic mapping, also known as simultaneous localization and mapping (SLAM), by a mobile agent for large distributed environments is addressed in this…
(more)

Subjects/Keywords: SLAM; Mapping; Stochastic Approximation

…frequentist mapping technique based on *stochastic*
*approximation* is introduced which provides an… …very mild assumptions using *stochastic* *approximation* techniques.
• In appendix B, the… …distributed environment is estimated using a novel *stochastic* *approximation* based algorithm which we… …a solid foundation in *stochastic*
20
*approximation* literature and is provably consistent… …achieve SPLAM.
This dissertation introduces “Frequentist mapping”, a novel *stochastic*…

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

APA (6^{th} Edition):

Saha, R. (2011). On Consistent Mapping in Distributed Environments using Mobile Sensors. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9718

Not specified: Masters Thesis or Doctoral Dissertation

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

Saha, Roshmik. “On Consistent Mapping in Distributed Environments using Mobile Sensors.” 2011. Thesis, Texas A&M University. Accessed February 20, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9718.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Saha, Roshmik. “On Consistent Mapping in Distributed Environments using Mobile Sensors.” 2011. Web. 20 Feb 2019.

Vancouver:

Saha R. On Consistent Mapping in Distributed Environments using Mobile Sensors. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9718.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Saha R. On Consistent Mapping in Distributed Environments using Mobile Sensors. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9718

Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

11.
Lin, Fang-Yu.
Combining Strategies for Parallel *Stochastic* *Approximation* Monte Carlo Algorithm of Big Data.

Degree: 2014, Texas A&M University

URL: http://hdl.handle.net/1969.1/153814

► Modeling and mining with massive volumes of data have become popular in recent decades. However, it is difficult to analyze on a single commodity computer…
(more)

Subjects/Keywords: Stochastic Approximation Monte Carlo; Parallel Computation; MCMC; Big Data

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APA (6^{th} Edition):

Lin, F. (2014). Combining Strategies for Parallel Stochastic Approximation Monte Carlo Algorithm of Big Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153814

Not specified: Masters Thesis or Doctoral Dissertation

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

Lin, Fang-Yu. “Combining Strategies for Parallel Stochastic Approximation Monte Carlo Algorithm of Big Data.” 2014. Thesis, Texas A&M University. Accessed February 20, 2019. http://hdl.handle.net/1969.1/153814.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Lin, Fang-Yu. “Combining Strategies for Parallel Stochastic Approximation Monte Carlo Algorithm of Big Data.” 2014. Web. 20 Feb 2019.

Vancouver:

Lin F. Combining Strategies for Parallel Stochastic Approximation Monte Carlo Algorithm of Big Data. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/1969.1/153814.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lin F. Combining Strategies for Parallel Stochastic Approximation Monte Carlo Algorithm of Big Data. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153814

Not specified: Masters Thesis or Doctoral Dissertation

Queens University

12.
Saldi, Naci.
Optimal Quantization and *Approximation* in Source Coding and *Stochastic* Control
.

Degree: Mathematics & Statistics, 2015, Queens University

URL: http://hdl.handle.net/1974/13147

► This thesis deals with non-standard optimal quantization and *approximation* problems in source coding and *stochastic* control. The first part of the thesis considers randomized quantization.…
(more)

Subjects/Keywords: Quantization; randomized quantization; Markov decision processes; approximation in stochastic control

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APA (6^{th} Edition):

Saldi, N. (2015). Optimal Quantization and Approximation in Source Coding and Stochastic Control . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/13147

Not specified: Masters Thesis or Doctoral Dissertation

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

Saldi, Naci. “Optimal Quantization and Approximation in Source Coding and Stochastic Control .” 2015. Thesis, Queens University. Accessed February 20, 2019. http://hdl.handle.net/1974/13147.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Saldi, Naci. “Optimal Quantization and Approximation in Source Coding and Stochastic Control .” 2015. Web. 20 Feb 2019.

Vancouver:

Saldi N. Optimal Quantization and Approximation in Source Coding and Stochastic Control . [Internet] [Thesis]. Queens University; 2015. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/1974/13147.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Saldi N. Optimal Quantization and Approximation in Source Coding and Stochastic Control . [Thesis]. Queens University; 2015. Available from: http://hdl.handle.net/1974/13147

Not specified: Masters Thesis or Doctoral Dissertation

Cornell University

13.
Spencer, Gwen.
* Approximation* Algorithms For

Degree: 2012, Cornell University

URL: http://hdl.handle.net/1813/31423

► As ecologists and foresters produce an increasing range of probabilistic data, mathematical techniques that address the fundamental interactions between *stochastic* events and spatial landscape features…
(more)

Subjects/Keywords: Optimization; Algorithms; Approximation; Stochastic; Graph Theory; Sustainability; Natural Resources

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APA (6^{th} Edition):

Spencer, G. (2012). Approximation Algorithms For Stochastic Combinatorial Optimization, With Applications In Sustainability . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/31423

Not specified: Masters Thesis or Doctoral Dissertation

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

Spencer, Gwen. “Approximation Algorithms For Stochastic Combinatorial Optimization, With Applications In Sustainability .” 2012. Thesis, Cornell University. Accessed February 20, 2019. http://hdl.handle.net/1813/31423.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Spencer, Gwen. “Approximation Algorithms For Stochastic Combinatorial Optimization, With Applications In Sustainability .” 2012. Web. 20 Feb 2019.

Vancouver:

Spencer G. Approximation Algorithms For Stochastic Combinatorial Optimization, With Applications In Sustainability . [Internet] [Thesis]. Cornell University; 2012. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/1813/31423.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Spencer G. Approximation Algorithms For Stochastic Combinatorial Optimization, With Applications In Sustainability . [Thesis]. Cornell University; 2012. Available from: http://hdl.handle.net/1813/31423

Not specified: Masters Thesis or Doctoral Dissertation

Carnegie Mellon University

14.
Krishnaswamy, Ravishankar.
* Approximation* Techniques for

Degree: 2012, Carnegie Mellon University

URL: http://repository.cmu.edu/dissertations/157

► The focus of this thesis is on the design and analysis of algorithms for basic problems in *Stochastic* Optimization, specifically a class of fundamental combinatorial…
(more)

Subjects/Keywords: Approximation Algorithms; Stochastic Optimization; Network Design; Scheduling; Computer Sciences

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

APA (6^{th} Edition):

Krishnaswamy, R. (2012). Approximation Techniques for Stochastic Combinatorial Optimization Problems. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/157

Not specified: Masters Thesis or Doctoral Dissertation

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

Krishnaswamy, Ravishankar. “Approximation Techniques for Stochastic Combinatorial Optimization Problems.” 2012. Thesis, Carnegie Mellon University. Accessed February 20, 2019. http://repository.cmu.edu/dissertations/157.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Krishnaswamy, Ravishankar. “Approximation Techniques for Stochastic Combinatorial Optimization Problems.” 2012. Web. 20 Feb 2019.

Vancouver:

Krishnaswamy R. Approximation Techniques for Stochastic Combinatorial Optimization Problems. [Internet] [Thesis]. Carnegie Mellon University; 2012. [cited 2019 Feb 20]. Available from: http://repository.cmu.edu/dissertations/157.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Krishnaswamy R. Approximation Techniques for Stochastic Combinatorial Optimization Problems. [Thesis]. Carnegie Mellon University; 2012. Available from: http://repository.cmu.edu/dissertations/157

Not specified: Masters Thesis or Doctoral Dissertation

Louisiana State University

15. Duan, Qinglin. A Metaheuristic-Based Simulation Optimization Framework For Supply Chain Inventory Management Under Uncertainty.

Degree: PhD, Engineering Science and Materials, 2013, Louisiana State University

URL: etd-10222013-115111 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1219

► The need for inventory control models for practical real-world applications is growing with the global expansion of supply chains. The widely used traditional optimization procedures…
(more)

Subjects/Keywords: Healthcare Blood Products; Crossmatching; Perishable; Stochastic; Sample Average Approximation

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

APA (6^{th} Edition):

Duan, Q. (2013). A Metaheuristic-Based Simulation Optimization Framework For Supply Chain Inventory Management Under Uncertainty. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-10222013-115111 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1219

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

Duan, Qinglin. “A Metaheuristic-Based Simulation Optimization Framework For Supply Chain Inventory Management Under Uncertainty.” 2013. Doctoral Dissertation, Louisiana State University. Accessed February 20, 2019. etd-10222013-115111 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1219.

MLA Handbook (7^{th} Edition):

Duan, Qinglin. “A Metaheuristic-Based Simulation Optimization Framework For Supply Chain Inventory Management Under Uncertainty.” 2013. Web. 20 Feb 2019.

Vancouver:

Duan Q. A Metaheuristic-Based Simulation Optimization Framework For Supply Chain Inventory Management Under Uncertainty. [Internet] [Doctoral dissertation]. Louisiana State University; 2013. [cited 2019 Feb 20]. Available from: etd-10222013-115111 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1219.

Council of Science Editors:

Duan Q. A Metaheuristic-Based Simulation Optimization Framework For Supply Chain Inventory Management Under Uncertainty. [Doctoral Dissertation]. Louisiana State University; 2013. Available from: etd-10222013-115111 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1219

16.
Jum, Ernest.
Numerical *Approximation* of *Stochastic* Differential Equations Driven by Levy Motion with Infinitely Many Jumps.

Degree: 2015, University of Tennessee – Knoxville

URL: https://trace.tennessee.edu/utk_graddiss/3430

► In this dissertation, we consider the problem of simulation of *stochastic* differential equations driven by pure jump Levy processes with infinite jump activity. Examples include,…
(more)

Subjects/Keywords: stochastic differential equation; numerical approximation; Levy motion; infinitely many jumps; Probability

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

APA (6^{th} Edition):

Jum, E. (2015). Numerical Approximation of Stochastic Differential Equations Driven by Levy Motion with Infinitely Many Jumps. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/3430

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

Jum, Ernest. “Numerical Approximation of Stochastic Differential Equations Driven by Levy Motion with Infinitely Many Jumps.” 2015. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed February 20, 2019. https://trace.tennessee.edu/utk_graddiss/3430.

MLA Handbook (7^{th} Edition):

Jum, Ernest. “Numerical Approximation of Stochastic Differential Equations Driven by Levy Motion with Infinitely Many Jumps.” 2015. Web. 20 Feb 2019.

Vancouver:

Jum E. Numerical Approximation of Stochastic Differential Equations Driven by Levy Motion with Infinitely Many Jumps. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2015. [cited 2019 Feb 20]. Available from: https://trace.tennessee.edu/utk_graddiss/3430.

Council of Science Editors:

Jum E. Numerical Approximation of Stochastic Differential Equations Driven by Levy Motion with Infinitely Many Jumps. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2015. Available from: https://trace.tennessee.edu/utk_graddiss/3430

University of Florida

17.
Zhou, Zhiqiang.
Optimal *Stochastic* Subgradient Methods for Expected-Value Constrained *Stochastic* Programming.

Degree: MS, Industrial and Systems Engineering, 2014, University of Florida

URL: http://ufdc.ufl.edu/UFE0047301

► The main goal of this paper is to develop a new *stochastic* subgradient method for constrained *stochastic* convex optimization problems. The problem we are interested…
(more)

Subjects/Keywords: Approximation; Entropy; Estimated cost to complete; Keywords; optimization – rubust – stochastic

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

APA (6^{th} Edition):

Zhou, Z. (2014). Optimal Stochastic Subgradient Methods for Expected-Value Constrained Stochastic Programming. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047301

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

Zhou, Zhiqiang. “Optimal Stochastic Subgradient Methods for Expected-Value Constrained Stochastic Programming.” 2014. Masters Thesis, University of Florida. Accessed February 20, 2019. http://ufdc.ufl.edu/UFE0047301.

MLA Handbook (7^{th} Edition):

Zhou, Zhiqiang. “Optimal Stochastic Subgradient Methods for Expected-Value Constrained Stochastic Programming.” 2014. Web. 20 Feb 2019.

Vancouver:

Zhou Z. Optimal Stochastic Subgradient Methods for Expected-Value Constrained Stochastic Programming. [Internet] [Masters thesis]. University of Florida; 2014. [cited 2019 Feb 20]. Available from: http://ufdc.ufl.edu/UFE0047301.

Council of Science Editors:

Zhou Z. Optimal Stochastic Subgradient Methods for Expected-Value Constrained Stochastic Programming. [Masters Thesis]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0047301

McMaster University

18.
Griscik, Michael Paul.
A New Algorithm for *Stochastic* * Approximation*.

Degree: MEngr, 1970, McMaster University

URL: http://hdl.handle.net/11375/17894

►

A review of *Stochastic* *Approximation* and the major contributions to the area is made. A proof of convergence for the algorithm is developed. An…
(more)

Subjects/Keywords: stochastic; algorithm; approximation; convergence; optimization

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

APA (6^{th} Edition):

Griscik, M. P. (1970). A New Algorithm for Stochastic Approximation. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/17894

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

Griscik, Michael Paul. “A New Algorithm for Stochastic Approximation.” 1970. Masters Thesis, McMaster University. Accessed February 20, 2019. http://hdl.handle.net/11375/17894.

MLA Handbook (7^{th} Edition):

Griscik, Michael Paul. “A New Algorithm for Stochastic Approximation.” 1970. Web. 20 Feb 2019.

Vancouver:

Griscik MP. A New Algorithm for Stochastic Approximation. [Internet] [Masters thesis]. McMaster University; 1970. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/11375/17894.

Council of Science Editors:

Griscik MP. A New Algorithm for Stochastic Approximation. [Masters Thesis]. McMaster University; 1970. Available from: http://hdl.handle.net/11375/17894

North Carolina State University

19. Ruan, Chen. Recursive Quantile Estimation with Application to Value at Risk.

Degree: PhD, Statistics, 2008, North Carolina State University

URL: http://www.lib.ncsu.edu/resolver/1840.16/4259

Subjects/Keywords: regression quantile; stochastic approximation

Record Details Similar Records

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

APA (6^{th} Edition):

Ruan, C. (2008). Recursive Quantile Estimation with Application to Value at Risk. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4259

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

Ruan, Chen. “Recursive Quantile Estimation with Application to Value at Risk.” 2008. Doctoral Dissertation, North Carolina State University. Accessed February 20, 2019. http://www.lib.ncsu.edu/resolver/1840.16/4259.

MLA Handbook (7^{th} Edition):

Ruan, Chen. “Recursive Quantile Estimation with Application to Value at Risk.” 2008. Web. 20 Feb 2019.

Vancouver:

Ruan C. Recursive Quantile Estimation with Application to Value at Risk. [Internet] [Doctoral dissertation]. North Carolina State University; 2008. [cited 2019 Feb 20]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4259.

Council of Science Editors:

Ruan C. Recursive Quantile Estimation with Application to Value at Risk. [Doctoral Dissertation]. North Carolina State University; 2008. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4259

Northeastern University

20.
Huang, Kuo-Lun.
Efficient algorithms for *stochastic* decoding of LDPC codes.

Degree: PhD, Department of Electrical and Computer Engineering, 2016, Northeastern University

URL: http://hdl.handle.net/2047/D20211572

► The expanding demand for high-speed communications has resulted in development of high-throughput error-correcting techniques required by emerging communication standards. Low-Density Parity-Check (LDPC) codes are a…
(more)

Subjects/Keywords: low-density parity-check; stochastic computation; decoding; Decoders (Electronics); Error-correcting codes (Information theory); Coding theory; Stochastic processes; Stochastic approximation; Algorithms

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

APA (6^{th} Edition):

Huang, K. (2016). Efficient algorithms for stochastic decoding of LDPC codes. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20211572

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

Huang, Kuo-Lun. “Efficient algorithms for stochastic decoding of LDPC codes.” 2016. Doctoral Dissertation, Northeastern University. Accessed February 20, 2019. http://hdl.handle.net/2047/D20211572.

MLA Handbook (7^{th} Edition):

Huang, Kuo-Lun. “Efficient algorithms for stochastic decoding of LDPC codes.” 2016. Web. 20 Feb 2019.

Vancouver:

Huang K. Efficient algorithms for stochastic decoding of LDPC codes. [Internet] [Doctoral dissertation]. Northeastern University; 2016. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/2047/D20211572.

Council of Science Editors:

Huang K. Efficient algorithms for stochastic decoding of LDPC codes. [Doctoral Dissertation]. Northeastern University; 2016. Available from: http://hdl.handle.net/2047/D20211572

University of Florida

21.
Jiang, Ruiwei.
Data-Driven *Stochastic* Optimization Integrating Reliability with Cost Effectiveness.

Degree: PhD, Industrial and Systems Engineering, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045885

► Decision making processes in practice often involve trade-offs between reliability and cost effectiveness. When a decision maker is faced with an uncertain environment, more often…
(more)

Subjects/Keywords: Algorithms; Ambiguity; Approximation; Cost functions; Infinity; Linear programming; Probability distributions; Renewable energy; Sample size; Stochastic models; cost – optimization – reliability – stochastic

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

APA (6^{th} Edition):

Jiang, R. (2013). Data-Driven Stochastic Optimization Integrating Reliability with Cost Effectiveness. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045885

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

Jiang, Ruiwei. “Data-Driven Stochastic Optimization Integrating Reliability with Cost Effectiveness.” 2013. Doctoral Dissertation, University of Florida. Accessed February 20, 2019. http://ufdc.ufl.edu/UFE0045885.

MLA Handbook (7^{th} Edition):

Jiang, Ruiwei. “Data-Driven Stochastic Optimization Integrating Reliability with Cost Effectiveness.” 2013. Web. 20 Feb 2019.

Vancouver:

Jiang R. Data-Driven Stochastic Optimization Integrating Reliability with Cost Effectiveness. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Feb 20]. Available from: http://ufdc.ufl.edu/UFE0045885.

Council of Science Editors:

Jiang R. Data-Driven Stochastic Optimization Integrating Reliability with Cost Effectiveness. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045885

Mississippi State University

22. Emelogu, Adindu Ahurueze. Optimal supply chain configuration for the additive manufacturing of biomedical implants.

Degree: PhD, Industrial and Systems Engineering, 2016, Mississippi State University

URL: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10192016-124949/ ;

► In this dissertation, we study two important problems related to additive manufacturing (AM). In the first part, we investigate the economic feasibility of using…
(more)

Subjects/Keywords: clustering; enhanced sample average approximation; sample average approximation; deployment configuration; large scale supply chain; continuous approximation; Additive manufacturing; biomedical implants; stochastic programming model

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

APA (6^{th} Edition):

Emelogu, A. A. (2016). Optimal supply chain configuration for the additive manufacturing of biomedical implants. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-10192016-124949/ ;

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

Emelogu, Adindu Ahurueze. “Optimal supply chain configuration for the additive manufacturing of biomedical implants.” 2016. Doctoral Dissertation, Mississippi State University. Accessed February 20, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-10192016-124949/ ;.

MLA Handbook (7^{th} Edition):

Emelogu, Adindu Ahurueze. “Optimal supply chain configuration for the additive manufacturing of biomedical implants.” 2016. Web. 20 Feb 2019.

Vancouver:

Emelogu AA. Optimal supply chain configuration for the additive manufacturing of biomedical implants. [Internet] [Doctoral dissertation]. Mississippi State University; 2016. [cited 2019 Feb 20]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10192016-124949/ ;.

Council of Science Editors:

Emelogu AA. Optimal supply chain configuration for the additive manufacturing of biomedical implants. [Doctoral Dissertation]. Mississippi State University; 2016. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-10192016-124949/ ;

University of Alberta

23. Maei, Hamid Reza. Gradient Temporal-Difference Learning Algorithms.

Degree: PhD, Department of Computing Science, 2011, University of Alberta

URL: https://era.library.ualberta.ca/files/8s45q967t

► We present a new family of gradient temporal-difference (TD) learning methods with function *approximation* whose complexity, both in terms of memory and per-time-step computation, scales…
(more)

Subjects/Keywords: Policy Evaluation; Temporal-Difference learning; Reinforcement Learning; Stochastic Gradient-Descent; Value Function Approximation

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

APA (6^{th} Edition):

Maei, H. R. (2011). Gradient Temporal-Difference Learning Algorithms. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/8s45q967t

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

Maei, Hamid Reza. “Gradient Temporal-Difference Learning Algorithms.” 2011. Doctoral Dissertation, University of Alberta. Accessed February 20, 2019. https://era.library.ualberta.ca/files/8s45q967t.

MLA Handbook (7^{th} Edition):

Maei, Hamid Reza. “Gradient Temporal-Difference Learning Algorithms.” 2011. Web. 20 Feb 2019.

Vancouver:

Maei HR. Gradient Temporal-Difference Learning Algorithms. [Internet] [Doctoral dissertation]. University of Alberta; 2011. [cited 2019 Feb 20]. Available from: https://era.library.ualberta.ca/files/8s45q967t.

Council of Science Editors:

Maei HR. Gradient Temporal-Difference Learning Algorithms. [Doctoral Dissertation]. University of Alberta; 2011. Available from: https://era.library.ualberta.ca/files/8s45q967t

Texas A&M University

24. De, Debkumar. Essays on Bayesian Time Series and Variable Selection.

Degree: 2014, Texas A&M University

URL: http://hdl.handle.net/1969.1/152793

► Estimating model parameters in dynamic model continues to be challenge. In my dissertation, we have introduced a *Stochastic* *Approximation* based parameter estimation approach under Ensemble…
(more)

Subjects/Keywords: Ensemble Kalman Filter; Stochastic Approximation; Non-parametric Regression; Matrix variate regression; Variable selection

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

APA (6^{th} Edition):

De, D. (2014). Essays on Bayesian Time Series and Variable Selection. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/152793

Not specified: Masters Thesis or Doctoral Dissertation

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

De, Debkumar. “Essays on Bayesian Time Series and Variable Selection.” 2014. Thesis, Texas A&M University. Accessed February 20, 2019. http://hdl.handle.net/1969.1/152793.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

De, Debkumar. “Essays on Bayesian Time Series and Variable Selection.” 2014. Web. 20 Feb 2019.

Vancouver:

De D. Essays on Bayesian Time Series and Variable Selection. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/1969.1/152793.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

De D. Essays on Bayesian Time Series and Variable Selection. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/152793

Not specified: Masters Thesis or Doctoral Dissertation

Georgia Tech

25. Li, Ran. Performance optimization of complex resource allocation systems.

Degree: PhD, Industrial and Systems Engineering, 2016, Georgia Tech

URL: http://hdl.handle.net/1853/56273

► The typical control objective for a sequential resource allocation system (RAS) is the optimization of some (time-based) performance index, while ensuring the logical/behavioral correctness of…
(more)

Subjects/Keywords: Resource allocation systems; Deadlock avoidance; Petri nets; Markov decision processes; Stochastic approximation; Disaggregation

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

APA (6^{th} Edition):

Li, R. (2016). Performance optimization of complex resource allocation systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56273

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

Li, Ran. “Performance optimization of complex resource allocation systems.” 2016. Doctoral Dissertation, Georgia Tech. Accessed February 20, 2019. http://hdl.handle.net/1853/56273.

MLA Handbook (7^{th} Edition):

Li, Ran. “Performance optimization of complex resource allocation systems.” 2016. Web. 20 Feb 2019.

Vancouver:

Li R. Performance optimization of complex resource allocation systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/1853/56273.

Council of Science Editors:

Li R. Performance optimization of complex resource allocation systems. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56273

University of Tennessee – Knoxville

26. Dexter, Nicholas Calvin. Sparse Reconstruction Techniques for Solutions of High-Dimensional Parametric PDEs.

Degree: 2018, University of Tennessee – Knoxville

URL: https://trace.tennessee.edu/utk_graddiss/5077

► This work studies sparse reconstruction techniques for approximating solutions of high-dimensional parametric PDEs. Such problems are relevant to mathematical modeling in engineering and the sciences,…
(more)

Subjects/Keywords: parameterized PDEs; high-dimensional approximation; compressed sensing; stochastic Galerkin method; uncertainty quantification; convex optimization

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

APA (6^{th} Edition):

Dexter, N. C. (2018). Sparse Reconstruction Techniques for Solutions of High-Dimensional Parametric PDEs. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/5077

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

Dexter, Nicholas Calvin. “Sparse Reconstruction Techniques for Solutions of High-Dimensional Parametric PDEs.” 2018. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed February 20, 2019. https://trace.tennessee.edu/utk_graddiss/5077.

MLA Handbook (7^{th} Edition):

Dexter, Nicholas Calvin. “Sparse Reconstruction Techniques for Solutions of High-Dimensional Parametric PDEs.” 2018. Web. 20 Feb 2019.

Vancouver:

Dexter NC. Sparse Reconstruction Techniques for Solutions of High-Dimensional Parametric PDEs. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2018. [cited 2019 Feb 20]. Available from: https://trace.tennessee.edu/utk_graddiss/5077.

Council of Science Editors:

Dexter NC. Sparse Reconstruction Techniques for Solutions of High-Dimensional Parametric PDEs. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2018. Available from: https://trace.tennessee.edu/utk_graddiss/5077

McMaster University

27.
El-Sherief, Hossny E.
*Stochastic**Approximation* for Identification of Multivariable Systems.

Degree: MEngr, 1977, McMaster University

URL: http://hdl.handle.net/11375/17707

►

In this thesis a non-parametric normalized *stochastic* *approximation* algorithm has been developed for the identification of multivariable systems from noisy data without prior knowledge…
(more)

Subjects/Keywords: non-parametric; stochastic; approximation; multivariable; identification

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

APA (6^{th} Edition):

El-Sherief, H. E. (1977). Stochastic Approximation for Identification of Multivariable Systems. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/17707

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

El-Sherief, Hossny E. “Stochastic Approximation for Identification of Multivariable Systems.” 1977. Masters Thesis, McMaster University. Accessed February 20, 2019. http://hdl.handle.net/11375/17707.

MLA Handbook (7^{th} Edition):

El-Sherief, Hossny E. “Stochastic Approximation for Identification of Multivariable Systems.” 1977. Web. 20 Feb 2019.

Vancouver:

El-Sherief HE. Stochastic Approximation for Identification of Multivariable Systems. [Internet] [Masters thesis]. McMaster University; 1977. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/11375/17707.

Council of Science Editors:

El-Sherief HE. Stochastic Approximation for Identification of Multivariable Systems. [Masters Thesis]. McMaster University; 1977. Available from: http://hdl.handle.net/11375/17707

McMaster University

28. E, Fan. A Location-Inventory Problem for Customers with Time Constraints.

Degree: MASc, 2016, McMaster University

URL: http://hdl.handle.net/11375/20483

►

In this paper, a two-stage *stochastic* facility location problem integrated with inven- tory and recourse decisions is studied and solved. This problem is inspired by…
(more)

Subjects/Keywords: stochastic facility location problem;

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APA (6^{th} Edition):

E, F. (2016). A Location-Inventory Problem for Customers with Time Constraints. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/20483

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

E, Fan. “A Location-Inventory Problem for Customers with Time Constraints.” 2016. Masters Thesis, McMaster University. Accessed February 20, 2019. http://hdl.handle.net/11375/20483.

MLA Handbook (7^{th} Edition):

E, Fan. “A Location-Inventory Problem for Customers with Time Constraints.” 2016. Web. 20 Feb 2019.

Vancouver:

E F. A Location-Inventory Problem for Customers with Time Constraints. [Internet] [Masters thesis]. McMaster University; 2016. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/11375/20483.

Council of Science Editors:

E F. A Location-Inventory Problem for Customers with Time Constraints. [Masters Thesis]. McMaster University; 2016. Available from: http://hdl.handle.net/11375/20483

Princeton University

29.
Cheng, Bolong.
Local *Approximation* and Hierarchical Methods for *Stochastic* Optimization
.

Degree: PhD, 2017, Princeton University

URL: http://arks.princeton.edu/ark:/88435/dsp01jw827f27t

► In this thesis, we present local and hierarchical *approximation* methods for two classes of *stochastic* optimization problems: optimal learning and Markov decision processes. For the…
(more)

Subjects/Keywords: battery optimization; dynamic programming; local approximation; optimal learning; renewable energy; stochastic optimization

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

APA (6^{th} Edition):

Cheng, B. (2017). Local Approximation and Hierarchical Methods for Stochastic Optimization . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01jw827f27t

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

Cheng, Bolong. “Local Approximation and Hierarchical Methods for Stochastic Optimization .” 2017. Doctoral Dissertation, Princeton University. Accessed February 20, 2019. http://arks.princeton.edu/ark:/88435/dsp01jw827f27t.

MLA Handbook (7^{th} Edition):

Cheng, Bolong. “Local Approximation and Hierarchical Methods for Stochastic Optimization .” 2017. Web. 20 Feb 2019.

Vancouver:

Cheng B. Local Approximation and Hierarchical Methods for Stochastic Optimization . [Internet] [Doctoral dissertation]. Princeton University; 2017. [cited 2019 Feb 20]. Available from: http://arks.princeton.edu/ark:/88435/dsp01jw827f27t.

Council of Science Editors:

Cheng B. Local Approximation and Hierarchical Methods for Stochastic Optimization . [Doctoral Dissertation]. Princeton University; 2017. Available from: http://arks.princeton.edu/ark:/88435/dsp01jw827f27t

University of Waterloo

30. Gupta, Shubham. Building Networks in the Face of Uncertainty.

Degree: 2011, University of Waterloo

URL: http://hdl.handle.net/10012/6140

► The *subject* of this thesis is to study *approximation* algorithms for some network design problems in face of uncertainty. We consider two widely studied models…
(more)

Subjects/Keywords: robust optimization; stochastic optimization; network design; facility location; steiner tree; steiner forest; approximation algorithms

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

APA (6^{th} Edition):

Gupta, S. (2011). Building Networks in the Face of Uncertainty. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/6140

Not specified: Masters Thesis or Doctoral Dissertation

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

Gupta, Shubham. “Building Networks in the Face of Uncertainty.” 2011. Thesis, University of Waterloo. Accessed February 20, 2019. http://hdl.handle.net/10012/6140.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Gupta, Shubham. “Building Networks in the Face of Uncertainty.” 2011. Web. 20 Feb 2019.

Vancouver:

Gupta S. Building Networks in the Face of Uncertainty. [Internet] [Thesis]. University of Waterloo; 2011. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/10012/6140.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gupta S. Building Networks in the Face of Uncertainty. [Thesis]. University of Waterloo; 2011. Available from: http://hdl.handle.net/10012/6140

Not specified: Masters Thesis or Doctoral Dissertation