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You searched for subject:(Optimal Approximation). Showing records 1 – 30 of 72 total matches.

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McMaster University

1. Lenarcic, Adam. Rough Sets, Similarity, and Optimal Approximations.

Degree: PhD, 2017, McMaster University

Rough sets have been studied for over 30 years, and the basic concepts of lower and upper approximations have been analysed in detail, yet nowhere… (more)

Subjects/Keywords: Approximation; Rough Sets; Similarity; Optimal Approximation

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APA (6th Edition):

Lenarcic, A. (2017). Rough Sets, Similarity, and Optimal Approximations. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/22245

Chicago Manual of Style (16th Edition):

Lenarcic, Adam. “Rough Sets, Similarity, and Optimal Approximations.” 2017. Doctoral Dissertation, McMaster University. Accessed September 23, 2019. http://hdl.handle.net/11375/22245.

MLA Handbook (7th Edition):

Lenarcic, Adam. “Rough Sets, Similarity, and Optimal Approximations.” 2017. Web. 23 Sep 2019.

Vancouver:

Lenarcic A. Rough Sets, Similarity, and Optimal Approximations. [Internet] [Doctoral dissertation]. McMaster University; 2017. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/11375/22245.

Council of Science Editors:

Lenarcic A. Rough Sets, Similarity, and Optimal Approximations. [Doctoral Dissertation]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/22245

2. Mandad, Manish. Approximation robuste de surfaces avec garanties : Robust shape approximation and mapping between surfaces.

Degree: Docteur es, Informatique, 2016, Côte d'Azur

Cette thèse comprend deux parties indépendantes.Dans la première partie nous contribuons une nouvelle méthode qui, étant donnée un volume de tolérance, génère un maillage triangulaire… (more)

Subjects/Keywords: Robustesse; Approximation; Reconstruction; Simplification; Cartographie; Transport optimal; Robustness; Approximation; Reconstruction; Simplification; Mapping; Optimal transportation

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APA (6th Edition):

Mandad, M. (2016). Approximation robuste de surfaces avec garanties : Robust shape approximation and mapping between surfaces. (Doctoral Dissertation). Côte d'Azur. Retrieved from http://www.theses.fr/2016AZUR4156

Chicago Manual of Style (16th Edition):

Mandad, Manish. “Approximation robuste de surfaces avec garanties : Robust shape approximation and mapping between surfaces.” 2016. Doctoral Dissertation, Côte d'Azur. Accessed September 23, 2019. http://www.theses.fr/2016AZUR4156.

MLA Handbook (7th Edition):

Mandad, Manish. “Approximation robuste de surfaces avec garanties : Robust shape approximation and mapping between surfaces.” 2016. Web. 23 Sep 2019.

Vancouver:

Mandad M. Approximation robuste de surfaces avec garanties : Robust shape approximation and mapping between surfaces. [Internet] [Doctoral dissertation]. Côte d'Azur; 2016. [cited 2019 Sep 23]. Available from: http://www.theses.fr/2016AZUR4156.

Council of Science Editors:

Mandad M. Approximation robuste de surfaces avec garanties : Robust shape approximation and mapping between surfaces. [Doctoral Dissertation]. Côte d'Azur; 2016. Available from: http://www.theses.fr/2016AZUR4156


University of Colorado

3. Lewis, Ryan D. Nonlinear Approximations in Filter Design and Wave Propagation.

Degree: PhD, Applied Mathematics, 2013, University of Colorado

  This thesis has two parts. In both parts we use nonlinear approximations to obtain accurate solutions to problems where traditional numerical approaches rapidly become… (more)

Subjects/Keywords: approximation by Gaussians; digital filter design; optimal rational approximation; Rayleigh-Sommerfeld integral; Applied Mathematics

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APA (6th Edition):

Lewis, R. D. (2013). Nonlinear Approximations in Filter Design and Wave Propagation. (Doctoral Dissertation). University of Colorado. Retrieved from http://scholar.colorado.edu/appm_gradetds/47

Chicago Manual of Style (16th Edition):

Lewis, Ryan D. “Nonlinear Approximations in Filter Design and Wave Propagation.” 2013. Doctoral Dissertation, University of Colorado. Accessed September 23, 2019. http://scholar.colorado.edu/appm_gradetds/47.

MLA Handbook (7th Edition):

Lewis, Ryan D. “Nonlinear Approximations in Filter Design and Wave Propagation.” 2013. Web. 23 Sep 2019.

Vancouver:

Lewis RD. Nonlinear Approximations in Filter Design and Wave Propagation. [Internet] [Doctoral dissertation]. University of Colorado; 2013. [cited 2019 Sep 23]. Available from: http://scholar.colorado.edu/appm_gradetds/47.

Council of Science Editors:

Lewis RD. Nonlinear Approximations in Filter Design and Wave Propagation. [Doctoral Dissertation]. University of Colorado; 2013. Available from: http://scholar.colorado.edu/appm_gradetds/47


University of Edinburgh

4. Chen, Hanyi. Probabilistic matching systems : stability, fluid and diffusion approximations and optimal control.

Degree: PhD, 2015, University of Edinburgh

 In this work we introduce a novel queueing model with two classes of users in which, instead of accessing a resource, users wait in the… (more)

Subjects/Keywords: 519.2; matching systems; stability; admission control policies; rejection rates; fluid approximation; diffusion approximation; optimal control

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APA (6th Edition):

Chen, H. (2015). Probabilistic matching systems : stability, fluid and diffusion approximations and optimal control. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/10570

Chicago Manual of Style (16th Edition):

Chen, Hanyi. “Probabilistic matching systems : stability, fluid and diffusion approximations and optimal control.” 2015. Doctoral Dissertation, University of Edinburgh. Accessed September 23, 2019. http://hdl.handle.net/1842/10570.

MLA Handbook (7th Edition):

Chen, Hanyi. “Probabilistic matching systems : stability, fluid and diffusion approximations and optimal control.” 2015. Web. 23 Sep 2019.

Vancouver:

Chen H. Probabilistic matching systems : stability, fluid and diffusion approximations and optimal control. [Internet] [Doctoral dissertation]. University of Edinburgh; 2015. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1842/10570.

Council of Science Editors:

Chen H. Probabilistic matching systems : stability, fluid and diffusion approximations and optimal control. [Doctoral Dissertation]. University of Edinburgh; 2015. Available from: http://hdl.handle.net/1842/10570


Louisiana State University

5. Huang, Xu. Exponentially Convergent Generalized Finite Element Method for Multi-scale Problems.

Degree: PhD, Applied Mathematics, 2014, Louisiana State University

 The overall approach I take in the thesis falls into the category of multiscale finite element methods(MsFEM). I work to identify a new class of… (more)

Subjects/Keywords: Optimal local approximation spaces; Generalized Finite Elements; Multiscale method

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APA (6th Edition):

Huang, X. (2014). Exponentially Convergent Generalized Finite Element Method for Multi-scale Problems. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-03312015-144425 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3105

Chicago Manual of Style (16th Edition):

Huang, Xu. “Exponentially Convergent Generalized Finite Element Method for Multi-scale Problems.” 2014. Doctoral Dissertation, Louisiana State University. Accessed September 23, 2019. etd-03312015-144425 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3105.

MLA Handbook (7th Edition):

Huang, Xu. “Exponentially Convergent Generalized Finite Element Method for Multi-scale Problems.” 2014. Web. 23 Sep 2019.

Vancouver:

Huang X. Exponentially Convergent Generalized Finite Element Method for Multi-scale Problems. [Internet] [Doctoral dissertation]. Louisiana State University; 2014. [cited 2019 Sep 23]. Available from: etd-03312015-144425 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3105.

Council of Science Editors:

Huang X. Exponentially Convergent Generalized Finite Element Method for Multi-scale Problems. [Doctoral Dissertation]. Louisiana State University; 2014. Available from: etd-03312015-144425 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3105


University of Alberta

6. Li, Zhuangzhi. Chance Constrained Optimization with Robust and Sampling Approximation.

Degree: MS, Department of Chemical and Materials Engineering, 2015, University of Alberta

 Uncertainty is pervasive in various process operations problems. Its appearance spans from the detailed process description of multi-site manufacturing. In practical applications, there is a… (more)

Subjects/Keywords: Linear programming based scenario reduction method; Chance constrained optimization; Optimal robust counterpart optimization approximation; Sample average approximation with scenario reduction

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APA (6th Edition):

Li, Z. (2015). Chance Constrained Optimization with Robust and Sampling Approximation. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/rn301424z

Chicago Manual of Style (16th Edition):

Li, Zhuangzhi. “Chance Constrained Optimization with Robust and Sampling Approximation.” 2015. Masters Thesis, University of Alberta. Accessed September 23, 2019. https://era.library.ualberta.ca/files/rn301424z.

MLA Handbook (7th Edition):

Li, Zhuangzhi. “Chance Constrained Optimization with Robust and Sampling Approximation.” 2015. Web. 23 Sep 2019.

Vancouver:

Li Z. Chance Constrained Optimization with Robust and Sampling Approximation. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2019 Sep 23]. Available from: https://era.library.ualberta.ca/files/rn301424z.

Council of Science Editors:

Li Z. Chance Constrained Optimization with Robust and Sampling Approximation. [Masters Thesis]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/rn301424z


University of Florida

7. Walters, Patrick S. Guidance and Control of Marine Craft an Adaptive Dynamic Programming Approach.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2015, University of Florida

 Advances in sensing and computational capabilities have enabled autonomous vehicles to become vital assets across multiple disciplines. These improved capabilities have led to increased interest… (more)

Subjects/Keywords: Approximation; Dynamic programming; Estimation methods; Matrices; Navigation; Optimal control; Optimal policy; Simulations; Trajectories; Velocity; control  – learning  – maritime  – optimization  – robotics

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APA (6th Edition):

Walters, P. S. (2015). Guidance and Control of Marine Craft an Adaptive Dynamic Programming Approach. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047829

Chicago Manual of Style (16th Edition):

Walters, Patrick S. “Guidance and Control of Marine Craft an Adaptive Dynamic Programming Approach.” 2015. Doctoral Dissertation, University of Florida. Accessed September 23, 2019. http://ufdc.ufl.edu/UFE0047829.

MLA Handbook (7th Edition):

Walters, Patrick S. “Guidance and Control of Marine Craft an Adaptive Dynamic Programming Approach.” 2015. Web. 23 Sep 2019.

Vancouver:

Walters PS. Guidance and Control of Marine Craft an Adaptive Dynamic Programming Approach. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Sep 23]. Available from: http://ufdc.ufl.edu/UFE0047829.

Council of Science Editors:

Walters PS. Guidance and Control of Marine Craft an Adaptive Dynamic Programming Approach. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0047829


University of Florida

8. Patterson, Michael A. Efficient Solutions to Nonlinear Optimal Control Problems using Adaptive Mesh Orthogonal Collocation Methods.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2013, University of Florida

 In a direct collocation method, a continuous-time optimal control problem is transcribed to a finite-dimensional nonlinear programming problem. Solving this nonlinear programming problem as efficiently… (more)

Subjects/Keywords: Approximation; Boundary conditions; Error rates; Grid refinement; Jacobians; Lagrangian function; Optimal control; Polynomials; Software; Textual collocation; control  – optimal

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APA (6th Edition):

Patterson, M. A. (2013). Efficient Solutions to Nonlinear Optimal Control Problems using Adaptive Mesh Orthogonal Collocation Methods. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045236

Chicago Manual of Style (16th Edition):

Patterson, Michael A. “Efficient Solutions to Nonlinear Optimal Control Problems using Adaptive Mesh Orthogonal Collocation Methods.” 2013. Doctoral Dissertation, University of Florida. Accessed September 23, 2019. http://ufdc.ufl.edu/UFE0045236.

MLA Handbook (7th Edition):

Patterson, Michael A. “Efficient Solutions to Nonlinear Optimal Control Problems using Adaptive Mesh Orthogonal Collocation Methods.” 2013. Web. 23 Sep 2019.

Vancouver:

Patterson MA. Efficient Solutions to Nonlinear Optimal Control Problems using Adaptive Mesh Orthogonal Collocation Methods. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Sep 23]. Available from: http://ufdc.ufl.edu/UFE0045236.

Council of Science Editors:

Patterson MA. Efficient Solutions to Nonlinear Optimal Control Problems using Adaptive Mesh Orthogonal Collocation Methods. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045236


Princeton University

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

Degree: PhD, 2017, Princeton University

 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 (6th 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 (16th Edition):

Cheng, Bolong. “Local Approximation and Hierarchical Methods for Stochastic Optimization .” 2017. Doctoral Dissertation, Princeton University. Accessed September 23, 2019. http://arks.princeton.edu/ark:/88435/dsp01jw827f27t.

MLA Handbook (7th Edition):

Cheng, Bolong. “Local Approximation and Hierarchical Methods for Stochastic Optimization .” 2017. Web. 23 Sep 2019.

Vancouver:

Cheng B. Local Approximation and Hierarchical Methods for Stochastic Optimization . [Internet] [Doctoral dissertation]. Princeton University; 2017. [cited 2019 Sep 23]. 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 Florida

10. Dinh, Thang N. Complex Networks under Attacks Vulnerability Assessment and Optimization.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2013, University of Florida

 Complex network systems are extremely vulnerable to attacks.  In the presence of uncertainty,  assessing network vulnerability before potential malicious attacks is vital for network planning… (more)

Subjects/Keywords: Algorithms; Approximation; Connectivity; Cost efficiency; Eigenvalues; Hardness; Minimization of cost; Optimal solutions; Seeding; Vertices; approximation-algorithm  – complex-network  – pairwise-connectivity  – vulnerability-assessment

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APA (6th Edition):

Dinh, T. N. (2013). Complex Networks under Attacks Vulnerability Assessment and Optimization. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045412

Chicago Manual of Style (16th Edition):

Dinh, Thang N. “Complex Networks under Attacks Vulnerability Assessment and Optimization.” 2013. Doctoral Dissertation, University of Florida. Accessed September 23, 2019. http://ufdc.ufl.edu/UFE0045412.

MLA Handbook (7th Edition):

Dinh, Thang N. “Complex Networks under Attacks Vulnerability Assessment and Optimization.” 2013. Web. 23 Sep 2019.

Vancouver:

Dinh TN. Complex Networks under Attacks Vulnerability Assessment and Optimization. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Sep 23]. Available from: http://ufdc.ufl.edu/UFE0045412.

Council of Science Editors:

Dinh TN. Complex Networks under Attacks Vulnerability Assessment and Optimization. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045412


University of Florida

11. Ghadimi, Saeed. Finite-Time Convergence Properties of Methods for Stochastic Programming.

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

 In this dissertation, we mainly focus on establishing finite-time convergence of the iterative algorithms for solving both convex and nonconvex stochastic programming (SP) problems. In… (more)

Subjects/Keywords: Algorithms; Approximation; Convexity; Data smoothing; Gradient method; Iterative solutions; Objective functions; Optimal solutions; Oracles; Probability mass distributions; algorithm  – approximation  – complexity  – convex  – nonconvex  – optimazation  – programming  – randomized  – stochastic

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APA (6th Edition):

Ghadimi, S. (2014). Finite-Time Convergence Properties of Methods for Stochastic Programming. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047032

Chicago Manual of Style (16th Edition):

Ghadimi, Saeed. “Finite-Time Convergence Properties of Methods for Stochastic Programming.” 2014. Doctoral Dissertation, University of Florida. Accessed September 23, 2019. http://ufdc.ufl.edu/UFE0047032.

MLA Handbook (7th Edition):

Ghadimi, Saeed. “Finite-Time Convergence Properties of Methods for Stochastic Programming.” 2014. Web. 23 Sep 2019.

Vancouver:

Ghadimi S. Finite-Time Convergence Properties of Methods for Stochastic Programming. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Sep 23]. Available from: http://ufdc.ufl.edu/UFE0047032.

Council of Science Editors:

Ghadimi S. Finite-Time Convergence Properties of Methods for Stochastic Programming. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0047032


NSYSU

12. Hsu, Hsiang-Ling. Optimal designs for statistical inferences in nonlinear models with bivariate response variables.

Degree: PhD, Applied Mathematics, 2011, NSYSU

 Bivariate or multivariate correlated data may be collected on a sample of unit in many applications. When the experimenters concern about the failure times of… (more)

Subjects/Keywords: sequential procedure; simplex dispersion model; rational approximation; optimal design; Bivariate binary data; proportional data; Clayton copula model

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APA (6th Edition):

Hsu, H. (2011). Optimal designs for statistical inferences in nonlinear models with bivariate response variables. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0127111-184625

Chicago Manual of Style (16th Edition):

Hsu, Hsiang-Ling. “Optimal designs for statistical inferences in nonlinear models with bivariate response variables.” 2011. Doctoral Dissertation, NSYSU. Accessed September 23, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0127111-184625.

MLA Handbook (7th Edition):

Hsu, Hsiang-Ling. “Optimal designs for statistical inferences in nonlinear models with bivariate response variables.” 2011. Web. 23 Sep 2019.

Vancouver:

Hsu H. Optimal designs for statistical inferences in nonlinear models with bivariate response variables. [Internet] [Doctoral dissertation]. NSYSU; 2011. [cited 2019 Sep 23]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0127111-184625.

Council of Science Editors:

Hsu H. Optimal designs for statistical inferences in nonlinear models with bivariate response variables. [Doctoral Dissertation]. NSYSU; 2011. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0127111-184625


University of Florida

13. Garg,Divya. Advances in Global Pseudospectral Methods for Optimal Control.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

 A new pseudospectral method that employs global collocation at the Legendre-Gauss-Radau (LGR) points is presented for direct trajectory optimization and costate estimation of finite-horizon optimal(more)

Subjects/Keywords: Approximation; Boundary conditions; Cost functions; Degrees of polynomials; Error rates; Matrices; Necessary conditions for optimality; Optimal control; Polynomials; Textual collocation

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APA (6th Edition):

Garg,Divya. (2011). Advances in Global Pseudospectral Methods for Optimal Control. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043196

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Garg,Divya. “Advances in Global Pseudospectral Methods for Optimal Control.” 2011. Doctoral Dissertation, University of Florida. Accessed September 23, 2019. http://ufdc.ufl.edu/UFE0043196.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Garg,Divya. “Advances in Global Pseudospectral Methods for Optimal Control.” 2011. Web. 23 Sep 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Garg,Divya. Advances in Global Pseudospectral Methods for Optimal Control. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Sep 23]. Available from: http://ufdc.ufl.edu/UFE0043196.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Garg,Divya. Advances in Global Pseudospectral Methods for Optimal Control. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043196

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Florida

14. Zhao, Zinan. A New Scalable Paradigm for High-Dimensional Chance Constrained Programs.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2015, University of Florida

 A new paradigm for accurate transcription of chance constraints in a computationally scalable manner is presented for large-scale chance constrained programs. We first present an… (more)

Subjects/Keywords: Approximation; Constrained optimization; Design optimization; Linear programming; Optimal control; Random variables; Randomness; Simulations; Spacecraft; Textual collocation; optimalcontrol  – optimization

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APA (6th Edition):

Zhao, Z. (2015). A New Scalable Paradigm for High-Dimensional Chance Constrained Programs. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047703

Chicago Manual of Style (16th Edition):

Zhao, Zinan. “A New Scalable Paradigm for High-Dimensional Chance Constrained Programs.” 2015. Doctoral Dissertation, University of Florida. Accessed September 23, 2019. http://ufdc.ufl.edu/UFE0047703.

MLA Handbook (7th Edition):

Zhao, Zinan. “A New Scalable Paradigm for High-Dimensional Chance Constrained Programs.” 2015. Web. 23 Sep 2019.

Vancouver:

Zhao Z. A New Scalable Paradigm for High-Dimensional Chance Constrained Programs. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Sep 23]. Available from: http://ufdc.ufl.edu/UFE0047703.

Council of Science Editors:

Zhao Z. A New Scalable Paradigm for High-Dimensional Chance Constrained Programs. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0047703


Queensland University of Technology

15. Ryan, Elizabeth G. Contributions to Bayesian experimental design.

Degree: 2014, Queensland University of Technology

 This thesis progresses Bayesian experimental design by developing novel methodologies and extensions to existing algorithms. Through these advancements, this thesis provides solutions to several important… (more)

Subjects/Keywords: Bayesian optimal design; Decision theory; Utility function; Stochastic optimisation; Markov chain Monte Carlo; Posterior distribution approximation; Sampling strategies; Pharmacokinetics

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APA (6th Edition):

Ryan, E. G. (2014). Contributions to Bayesian experimental design. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/79628/

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

Chicago Manual of Style (16th Edition):

Ryan, Elizabeth G. “Contributions to Bayesian experimental design.” 2014. Thesis, Queensland University of Technology. Accessed September 23, 2019. https://eprints.qut.edu.au/79628/.

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

MLA Handbook (7th Edition):

Ryan, Elizabeth G. “Contributions to Bayesian experimental design.” 2014. Web. 23 Sep 2019.

Vancouver:

Ryan EG. Contributions to Bayesian experimental design. [Internet] [Thesis]. Queensland University of Technology; 2014. [cited 2019 Sep 23]. Available from: https://eprints.qut.edu.au/79628/.

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

Council of Science Editors:

Ryan EG. Contributions to Bayesian experimental design. [Thesis]. Queensland University of Technology; 2014. Available from: https://eprints.qut.edu.au/79628/

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


University of Florida

16. Nambi,Sara. Optimal Control and Design Using Genetic Algorithm Accelerated by Neural Networks.

Degree: MS, Aerospace Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

 The main feature of this paper is the incorporation of Artificial Neural Networks (ANN) to accelerate the processing time of Genetic Algorithms (GA). In this… (more)

Subjects/Keywords: Approximation; Crossovers; Design engineering; Design optimization; Genetic algorithms; Mathematical vectors; Neural networks; Optimal solutions; Range searching; Trajectories; genetic  – neural  – optimization

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APA (6th Edition):

Nambi,Sara. (2011). Optimal Control and Design Using Genetic Algorithm Accelerated by Neural Networks. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043086

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Nambi,Sara. “Optimal Control and Design Using Genetic Algorithm Accelerated by Neural Networks.” 2011. Masters Thesis, University of Florida. Accessed September 23, 2019. http://ufdc.ufl.edu/UFE0043086.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Nambi,Sara. “Optimal Control and Design Using Genetic Algorithm Accelerated by Neural Networks.” 2011. Web. 23 Sep 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Nambi,Sara. Optimal Control and Design Using Genetic Algorithm Accelerated by Neural Networks. [Internet] [Masters thesis]. University of Florida; 2011. [cited 2019 Sep 23]. Available from: http://ufdc.ufl.edu/UFE0043086.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Nambi,Sara. Optimal Control and Design Using Genetic Algorithm Accelerated by Neural Networks. [Masters Thesis]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043086

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Florida

17. Sefair, Jorge A. Interdiction Models for Planning under Uncertainty.

Degree: PhD, Industrial and Systems Engineering, 2015, University of Florida

 This dissertation presents new classes of interdiction problems, accompanied by novel analytical and methodological development for their solution. The first problem is motivated by an… (more)

Subjects/Keywords: Algorithms; Approximation; Cost allocation; Cost efficiency; Integers; Markov chains; Mink; Optimal solutions; Run time; Transition probabilities; interdiction  – networks  – optimization  – uncertainty

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APA (6th Edition):

Sefair, J. A. (2015). Interdiction Models for Planning under Uncertainty. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049111

Chicago Manual of Style (16th Edition):

Sefair, Jorge A. “Interdiction Models for Planning under Uncertainty.” 2015. Doctoral Dissertation, University of Florida. Accessed September 23, 2019. http://ufdc.ufl.edu/UFE0049111.

MLA Handbook (7th Edition):

Sefair, Jorge A. “Interdiction Models for Planning under Uncertainty.” 2015. Web. 23 Sep 2019.

Vancouver:

Sefair JA. Interdiction Models for Planning under Uncertainty. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Sep 23]. Available from: http://ufdc.ufl.edu/UFE0049111.

Council of Science Editors:

Sefair JA. Interdiction Models for Planning under Uncertainty. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049111


University of Florida

18. Francolin, Camila C. Costate Estimation in Optimal Control Problems Using Orthogonal Collocation at Gaussian Quadrature Points.

Degree: PhD, Aerospace Engineering - Mechanical and Aerospace Engineering, 2013, University of Florida

 Costate estimation is an important step in the numerical solution of optimal control problems as it provides a reliable way of verifying the optimality of… (more)

Subjects/Keywords: Approximation; Cost estimates; Degrees of polynomials; Estimation methods; Matrices; Necessary conditions for optimality; Optimal control; Point estimators; Polynomials; Textual collocation; control  – costate  – estimation  – gaussian  – optimal  – quaerature

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

APA (6th Edition):

Francolin, C. C. (2013). Costate Estimation in Optimal Control Problems Using Orthogonal Collocation at Gaussian Quadrature Points. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045808

Chicago Manual of Style (16th Edition):

Francolin, Camila C. “Costate Estimation in Optimal Control Problems Using Orthogonal Collocation at Gaussian Quadrature Points.” 2013. Doctoral Dissertation, University of Florida. Accessed September 23, 2019. http://ufdc.ufl.edu/UFE0045808.

MLA Handbook (7th Edition):

Francolin, Camila C. “Costate Estimation in Optimal Control Problems Using Orthogonal Collocation at Gaussian Quadrature Points.” 2013. Web. 23 Sep 2019.

Vancouver:

Francolin CC. Costate Estimation in Optimal Control Problems Using Orthogonal Collocation at Gaussian Quadrature Points. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Sep 23]. Available from: http://ufdc.ufl.edu/UFE0045808.

Council of Science Editors:

Francolin CC. Costate Estimation in Optimal Control Problems Using Orthogonal Collocation at Gaussian Quadrature Points. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045808


University of Florida

19. Bhasin,Shubhendu. Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

 Notions of optimal behavior expressed in natural systems led researchers to develop reinforcement learning (RL) as a computational tool in machine learning to learn actions… (more)

Subjects/Keywords: Approximation; Human error; Identifiers; Learning modalities; Machine learning; Neural networks; Optimal control; Signals; State estimation; Statistical estimation; adaptive  – approximate  – control  – dynamic  – learning  – neural  – nonlinear  – optimal  – reinforcement

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

APA (6th Edition):

Bhasin,Shubhendu. (2011). Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042825

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Bhasin,Shubhendu. “Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems.” 2011. Doctoral Dissertation, University of Florida. Accessed September 23, 2019. http://ufdc.ufl.edu/UFE0042825.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Bhasin,Shubhendu. “Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems.” 2011. Web. 23 Sep 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Bhasin,Shubhendu. Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Sep 23]. Available from: http://ufdc.ufl.edu/UFE0042825.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Bhasin,Shubhendu. Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0042825

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Florida

20. Johnson,Marcus A. Differential Game-Based Control Methods for Uncertain Continuous-Time Nonlinear Systems.

Degree: PhD, Aerospace Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

 Game theory methods have been instrumental in the advancement of various disciplines such as social science, economics, biology, and engineering. The focus of this dissertation… (more)

Subjects/Keywords: Approximation; Cost functions; Dynamic games; Game theory; Governing laws clause; Identifiers; Nash equilibrium; Neural networks; Optimal control; Zero sum game; euler  – games  – lagrange  – lyapunov  – noncooperative  – nonlinear  – optimal

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

APA (6th Edition):

A, J. (2011). Differential Game-Based Control Methods for Uncertain Continuous-Time Nonlinear Systems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043258

Chicago Manual of Style (16th Edition):

A, Johnson,Marcus. “Differential Game-Based Control Methods for Uncertain Continuous-Time Nonlinear Systems.” 2011. Doctoral Dissertation, University of Florida. Accessed September 23, 2019. http://ufdc.ufl.edu/UFE0043258.

MLA Handbook (7th Edition):

A, Johnson,Marcus. “Differential Game-Based Control Methods for Uncertain Continuous-Time Nonlinear Systems.” 2011. Web. 23 Sep 2019.

Vancouver:

A J. Differential Game-Based Control Methods for Uncertain Continuous-Time Nonlinear Systems. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Sep 23]. Available from: http://ufdc.ufl.edu/UFE0043258.

Council of Science Editors:

A J. Differential Game-Based Control Methods for Uncertain Continuous-Time Nonlinear Systems. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043258


University of Florida

21. Kamalapurkar, Rushikesh L. Model-Based Reinforcement Learning for Online Approximate Optimal Control.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2014, University of Florida

 The objective of an optimal control synthesis problem is to compute the policy that an agent should follow in order to maximize the accumulated reward.… (more)

Subjects/Keywords: Approximation; Differential games; Error rates; Identifiers; Liapunov functions; Mathematical independent variables; Optimal control; Signals; Simulations; Trajectories; adaptive  – control  – learning  – lyapunov  – nonlinear  – optimal  – reinforcement

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APA (6th Edition):

Kamalapurkar, R. L. (2014). Model-Based Reinforcement Learning for Online Approximate Optimal Control. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047163

Chicago Manual of Style (16th Edition):

Kamalapurkar, Rushikesh L. “Model-Based Reinforcement Learning for Online Approximate Optimal Control.” 2014. Doctoral Dissertation, University of Florida. Accessed September 23, 2019. http://ufdc.ufl.edu/UFE0047163.

MLA Handbook (7th Edition):

Kamalapurkar, Rushikesh L. “Model-Based Reinforcement Learning for Online Approximate Optimal Control.” 2014. Web. 23 Sep 2019.

Vancouver:

Kamalapurkar RL. Model-Based Reinforcement Learning for Online Approximate Optimal Control. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Sep 23]. Available from: http://ufdc.ufl.edu/UFE0047163.

Council of Science Editors:

Kamalapurkar RL. Model-Based Reinforcement Learning for Online Approximate Optimal Control. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0047163


Brigham Young University

22. Burton, Christina Marie. Quadratic Spline Approximation of the Newsvendor Problem Optimal Cost Function.

Degree: MS, 2012, Brigham Young University

 We consider a single-product dynamic inventory problem where the demand distributions in each period are known and independent but with density. We assume the lead… (more)

Subjects/Keywords: newsvendor problem; single-product; nonstationary; discrete-time; multi-period; finite horizon; independent demands; no capacity constraints; backordering; optimal inventory level; near optimal policy; value function approximation; quadratic splines; Mathematics

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APA (6th Edition):

Burton, C. M. (2012). Quadratic Spline Approximation of the Newsvendor Problem Optimal Cost Function. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4086&context=etd

Chicago Manual of Style (16th Edition):

Burton, Christina Marie. “Quadratic Spline Approximation of the Newsvendor Problem Optimal Cost Function.” 2012. Masters Thesis, Brigham Young University. Accessed September 23, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4086&context=etd.

MLA Handbook (7th Edition):

Burton, Christina Marie. “Quadratic Spline Approximation of the Newsvendor Problem Optimal Cost Function.” 2012. Web. 23 Sep 2019.

Vancouver:

Burton CM. Quadratic Spline Approximation of the Newsvendor Problem Optimal Cost Function. [Internet] [Masters thesis]. Brigham Young University; 2012. [cited 2019 Sep 23]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4086&context=etd.

Council of Science Editors:

Burton CM. Quadratic Spline Approximation of the Newsvendor Problem Optimal Cost Function. [Masters Thesis]. Brigham Young University; 2012. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4086&context=etd

23. Hajej, Ahmed. Homogénéisation stochastique de quelques problèmes de propagations d'interfaces : Stochastic homogenization of some front propagation problems.

Degree: Docteur es, Mathématiques appliquées, 2016, Paris Sciences et Lettres

Dans ce travail, on étudie l'homogénéisation de quelques problèmes de propagations de fronts dans des milieux stationnaires et ergodiques. Dans la première partie, on étudie… (more)

Subjects/Keywords: Homogénéisation stochastique; Equations de Hamilton-Jacobi; Propagations de fronts; Contrôle optimal; Problème métrique; Approximation numérique; Stochastic homogenization; Hamilton-Jacobi equations; Front propagation; Optimal control; Metric problem; Numerical approximation; Viscosity solutions; 515.7

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APA (6th Edition):

Hajej, A. (2016). Homogénéisation stochastique de quelques problèmes de propagations d'interfaces : Stochastic homogenization of some front propagation problems. (Doctoral Dissertation). Paris Sciences et Lettres. Retrieved from http://www.theses.fr/2016PSLED048

Chicago Manual of Style (16th Edition):

Hajej, Ahmed. “Homogénéisation stochastique de quelques problèmes de propagations d'interfaces : Stochastic homogenization of some front propagation problems.” 2016. Doctoral Dissertation, Paris Sciences et Lettres. Accessed September 23, 2019. http://www.theses.fr/2016PSLED048.

MLA Handbook (7th Edition):

Hajej, Ahmed. “Homogénéisation stochastique de quelques problèmes de propagations d'interfaces : Stochastic homogenization of some front propagation problems.” 2016. Web. 23 Sep 2019.

Vancouver:

Hajej A. Homogénéisation stochastique de quelques problèmes de propagations d'interfaces : Stochastic homogenization of some front propagation problems. [Internet] [Doctoral dissertation]. Paris Sciences et Lettres; 2016. [cited 2019 Sep 23]. Available from: http://www.theses.fr/2016PSLED048.

Council of Science Editors:

Hajej A. Homogénéisation stochastique de quelques problèmes de propagations d'interfaces : Stochastic homogenization of some front propagation problems. [Doctoral Dissertation]. Paris Sciences et Lettres; 2016. Available from: http://www.theses.fr/2016PSLED048

24. Runge, Vincent. Eléments d'analyse et de contrôle dans le problème de Hele-Shaw : Elements of analysis and control in the Hele-Shaw problem.

Degree: Docteur es, Mathématiques appliquées, 2014, Ecully, Ecole centrale de Lyon

Cette thèse porte sur le traitement mathématique du problème de Hele-Shaw dans l’approximation de Stokes-Leibenson. À l’aide d’une transformation de type Helmholtz- Kirchhoff, nous explicitons… (more)

Subjects/Keywords: Hele-Shaw; Approximation de Stokes-Leibenson; Helmholtz-Kirchhoff; Solutions trinomiales réelles; Domaine d’univalence; Contrôlabilité; Contrôle optimal; Hele–Shaw; Stokes–Leibenson approximation; Helmholtz–Kirchhoff, real trinomial solutions; Domain of univalence; Controllability; Optimal control; Helmholtz–Kirchhoff

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APA (6th Edition):

Runge, V. (2014). Eléments d'analyse et de contrôle dans le problème de Hele-Shaw : Elements of analysis and control in the Hele-Shaw problem. (Doctoral Dissertation). Ecully, Ecole centrale de Lyon. Retrieved from http://www.theses.fr/2014ECDL0024

Chicago Manual of Style (16th Edition):

Runge, Vincent. “Eléments d'analyse et de contrôle dans le problème de Hele-Shaw : Elements of analysis and control in the Hele-Shaw problem.” 2014. Doctoral Dissertation, Ecully, Ecole centrale de Lyon. Accessed September 23, 2019. http://www.theses.fr/2014ECDL0024.

MLA Handbook (7th Edition):

Runge, Vincent. “Eléments d'analyse et de contrôle dans le problème de Hele-Shaw : Elements of analysis and control in the Hele-Shaw problem.” 2014. Web. 23 Sep 2019.

Vancouver:

Runge V. Eléments d'analyse et de contrôle dans le problème de Hele-Shaw : Elements of analysis and control in the Hele-Shaw problem. [Internet] [Doctoral dissertation]. Ecully, Ecole centrale de Lyon; 2014. [cited 2019 Sep 23]. Available from: http://www.theses.fr/2014ECDL0024.

Council of Science Editors:

Runge V. Eléments d'analyse et de contrôle dans le problème de Hele-Shaw : Elements of analysis and control in the Hele-Shaw problem. [Doctoral Dissertation]. Ecully, Ecole centrale de Lyon; 2014. Available from: http://www.theses.fr/2014ECDL0024


The Ohio State University

25. Sengupta, Aritra. Empirical Hierarchical Modeling and Predictive Inference for Big, Spatial, Discrete, and Continuous Data.

Degree: PhD, Statistics, 2012, The Ohio State University

  This dissertation is comprised of an introductory chapter and three stand-alone chapters. The three main chapters are tied together by a common theme: empirical… (more)

Subjects/Keywords: Statistics; Aerosol optical depth; EM algorithm; empirical Bayes; geostatistical process; Laplace approximation; massive dataset; maximum likelihood estimation; MCMC; MODIS instrument; optimal spatial prediction; SRE model

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APA (6th Edition):

Sengupta, A. (2012). Empirical Hierarchical Modeling and Predictive Inference for Big, Spatial, Discrete, and Continuous Data. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1350660056

Chicago Manual of Style (16th Edition):

Sengupta, Aritra. “Empirical Hierarchical Modeling and Predictive Inference for Big, Spatial, Discrete, and Continuous Data.” 2012. Doctoral Dissertation, The Ohio State University. Accessed September 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1350660056.

MLA Handbook (7th Edition):

Sengupta, Aritra. “Empirical Hierarchical Modeling and Predictive Inference for Big, Spatial, Discrete, and Continuous Data.” 2012. Web. 23 Sep 2019.

Vancouver:

Sengupta A. Empirical Hierarchical Modeling and Predictive Inference for Big, Spatial, Discrete, and Continuous Data. [Internet] [Doctoral dissertation]. The Ohio State University; 2012. [cited 2019 Sep 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1350660056.

Council of Science Editors:

Sengupta A. Empirical Hierarchical Modeling and Predictive Inference for Big, Spatial, Discrete, and Continuous Data. [Doctoral Dissertation]. The Ohio State University; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1350660056


University of Akron

26. Le, Anh Duc. Fundamental Limits of Communication Channels under Non-Gaussian Interference.

Degree: PhD, Electrical Engineering, 2016, University of Akron

 Recent years have witnessed an exponential growth in data traffic over both wired and wireless links. This unabated growth in demand for data and dense… (more)

Subjects/Keywords: Engineering; Electrical Engineering; Communication; non-Gaussian channels; Gaussian mixture; Rayleigh fading; achievable rates; capacity; Gaussian input; discrete inputs; optimal input; piecewise linear approximation

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APA (6th Edition):

Le, A. D. (2016). Fundamental Limits of Communication Channels under Non-Gaussian Interference. (Doctoral Dissertation). University of Akron. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=akron1469011496

Chicago Manual of Style (16th Edition):

Le, Anh Duc. “Fundamental Limits of Communication Channels under Non-Gaussian Interference.” 2016. Doctoral Dissertation, University of Akron. Accessed September 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1469011496.

MLA Handbook (7th Edition):

Le, Anh Duc. “Fundamental Limits of Communication Channels under Non-Gaussian Interference.” 2016. Web. 23 Sep 2019.

Vancouver:

Le AD. Fundamental Limits of Communication Channels under Non-Gaussian Interference. [Internet] [Doctoral dissertation]. University of Akron; 2016. [cited 2019 Sep 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1469011496.

Council of Science Editors:

Le AD. Fundamental Limits of Communication Channels under Non-Gaussian Interference. [Doctoral Dissertation]. University of Akron; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1469011496


University of Florida

27. Shen, Yilin. The Exploitation of Power-Law Networks Robustness, Optimization and Its Impact on Communication Networks and Social Behaviors.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2013, University of Florida

 Many practical complex networks, such as the Internet, WWW and social networks, are discovered to follow power-law distribution in their degree sequences, i.e., the number… (more)

Subjects/Keywords: Approximation; Connectivity; Distance functions; Hardness; Integers; Mathematical robustness; Optimal solutions; Terrorism; Uniform Resource Locators; Vertices; approximationalgorithm  – communicationnetwork  – hardnessandinapproxmibability  – networkvulnerability  – optimization  – powerlawgraph  – socialnetwork

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APA (6th Edition):

Shen, Y. (2013). The Exploitation of Power-Law Networks Robustness, Optimization and Its Impact on Communication Networks and Social Behaviors. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045394

Chicago Manual of Style (16th Edition):

Shen, Yilin. “The Exploitation of Power-Law Networks Robustness, Optimization and Its Impact on Communication Networks and Social Behaviors.” 2013. Doctoral Dissertation, University of Florida. Accessed September 23, 2019. http://ufdc.ufl.edu/UFE0045394.

MLA Handbook (7th Edition):

Shen, Yilin. “The Exploitation of Power-Law Networks Robustness, Optimization and Its Impact on Communication Networks and Social Behaviors.” 2013. Web. 23 Sep 2019.

Vancouver:

Shen Y. The Exploitation of Power-Law Networks Robustness, Optimization and Its Impact on Communication Networks and Social Behaviors. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Sep 23]. Available from: http://ufdc.ufl.edu/UFE0045394.

Council of Science Editors:

Shen Y. The Exploitation of Power-Law Networks Robustness, Optimization and Its Impact on Communication Networks and Social Behaviors. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045394


University of Oxford

28. Giannakopoulos, Ioannis. Duality theory for optimal mechanism design.

Degree: PhD, 2015, University of Oxford

 In this work we present a general duality-theory framework for revenue maximization in additive Bayesian auctions involving multiple items and many bidders whose values for… (more)

Subjects/Keywords: 515; Computer science (mathematics); Game theory,economics,social and behavioral sciences (mathematics); Applications and algorithms; mechanism design; optimal auctions; duality; revenue maximization; game theory; approximation algorithms

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APA (6th Edition):

Giannakopoulos, I. (2015). Duality theory for optimal mechanism design. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:90e1fdec-8803-4306-8985-5106c457f34d ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667030

Chicago Manual of Style (16th Edition):

Giannakopoulos, Ioannis. “Duality theory for optimal mechanism design.” 2015. Doctoral Dissertation, University of Oxford. Accessed September 23, 2019. http://ora.ox.ac.uk/objects/uuid:90e1fdec-8803-4306-8985-5106c457f34d ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667030.

MLA Handbook (7th Edition):

Giannakopoulos, Ioannis. “Duality theory for optimal mechanism design.” 2015. Web. 23 Sep 2019.

Vancouver:

Giannakopoulos I. Duality theory for optimal mechanism design. [Internet] [Doctoral dissertation]. University of Oxford; 2015. [cited 2019 Sep 23]. Available from: http://ora.ox.ac.uk/objects/uuid:90e1fdec-8803-4306-8985-5106c457f34d ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667030.

Council of Science Editors:

Giannakopoulos I. Duality theory for optimal mechanism design. [Doctoral Dissertation]. University of Oxford; 2015. Available from: http://ora.ox.ac.uk/objects/uuid:90e1fdec-8803-4306-8985-5106c457f34d ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667030

29. XIAO LI. PERFORMANCE ANALYSIS AND OPTIMAL STAFFING OF TICKET QUEUES.

Degree: 2015, National University of Singapore

Subjects/Keywords: ticket queue; service system; customer abandonment; optimal staffing; Markov chain; fluid approximation

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APA (6th Edition):

LI, X. (2015). PERFORMANCE ANALYSIS AND OPTIMAL STAFFING OF TICKET QUEUES. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/120515

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

Chicago Manual of Style (16th Edition):

LI, XIAO. “PERFORMANCE ANALYSIS AND OPTIMAL STAFFING OF TICKET QUEUES.” 2015. Thesis, National University of Singapore. Accessed September 23, 2019. http://scholarbank.nus.edu.sg/handle/10635/120515.

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

MLA Handbook (7th Edition):

LI, XIAO. “PERFORMANCE ANALYSIS AND OPTIMAL STAFFING OF TICKET QUEUES.” 2015. Web. 23 Sep 2019.

Vancouver:

LI X. PERFORMANCE ANALYSIS AND OPTIMAL STAFFING OF TICKET QUEUES. [Internet] [Thesis]. National University of Singapore; 2015. [cited 2019 Sep 23]. Available from: http://scholarbank.nus.edu.sg/handle/10635/120515.

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

Council of Science Editors:

LI X. PERFORMANCE ANALYSIS AND OPTIMAL STAFFING OF TICKET QUEUES. [Thesis]. National University of Singapore; 2015. Available from: http://scholarbank.nus.edu.sg/handle/10635/120515

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


University of Florida

30. Boyaci, Cem. Complexity and Delay Characterization of Wireless Scheduling Algorithms.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2012, University of Florida

 Recently, escalating number of wireless network users and popularity of  multimedia-driven applications give rise to an increasing demand  for high throughput and low delay that… (more)

Subjects/Keywords: Algorithms; Approximation; Computational complexity; Harmonic functions; Mathematical vectors; Optimal solutions; Polynomials; Scheduling; Sufficient conditions; Vertices; coloring  – delay  – graph  – networking  – scheduling  – throughput  – wireless

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APA (6th Edition):

Boyaci, C. (2012). Complexity and Delay Characterization of Wireless Scheduling Algorithms. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044112

Chicago Manual of Style (16th Edition):

Boyaci, Cem. “Complexity and Delay Characterization of Wireless Scheduling Algorithms.” 2012. Doctoral Dissertation, University of Florida. Accessed September 23, 2019. http://ufdc.ufl.edu/UFE0044112.

MLA Handbook (7th Edition):

Boyaci, Cem. “Complexity and Delay Characterization of Wireless Scheduling Algorithms.” 2012. Web. 23 Sep 2019.

Vancouver:

Boyaci C. Complexity and Delay Characterization of Wireless Scheduling Algorithms. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Sep 23]. Available from: http://ufdc.ufl.edu/UFE0044112.

Council of Science Editors:

Boyaci C. Complexity and Delay Characterization of Wireless Scheduling Algorithms. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044112

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