PhD Thesis defense: Nodal Control and Probabilistic Constrained
(PDF) Buckling Optimization of Composite Structures
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PhD THESIS Optimization of prestressed concrete sleepers
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PhD Thesis Defense. Vahid Ramezankhani
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Computational Methods for Nonlinear Optimization Problems: Theory and
Global optimization, convex relaxation and distributed computation are at the heart of this PhD dissertation. Some of the specific problems to be addressed in this thesis on both the theory and the application of nonlinear optimization are explained below: Graph theoretic algorithms for low-rank optimization problems: There is a rapidly growing ...
PDF Optimization Methods for Machine Learning under Structural Constraints
this thesis, we present scalable optimization methods for several large-scale machine learning problems under structural constraints, with a focus on shape constraints in ... on research and PhD life, Shibal Ibrahim for his invaluable expertise in deep learn-ing, Kayhan Behdin for his critical insights into statistics, and Haoyue Wang, Riade ...
PDF Optimization-based Modeling in Investment and Data Science a
Thesis Outline This dissertation is organized into five parts. Part 1 gives a high-level overview of the content of this dissertation. Part 2 (Chapter 2) is the modern revisit of the classical idea of Kelly gambling using distributional robust optimization idea.
PDF Particle swarm optimization: theoretical analysis, modifications and
This is a PhD thesis by publication. It includes five journal papers, three of them already published, and two submitted for publication in a very high quality ... In this thesis we studied an optimization algorithm called Particle Swarm Optimization (PSO) from theoretical and application point of views. The main focus of the theoretical ...
Kari Rantanen defends his PhD thesis on Optimization Algorithms for
On the 8th of December 2021, M.Sc. Kari Rantanen will defend his doctoral thesis on Optimization Algorithms for Learning Graphical Model Structures. The thesis a part of research done in the Department of Computer Science and in the Constraint Reasoning and Optimization research group at the University of Helsinki.
PDF Submodularity in Combinatorial Optimization
This a continually updated version of my second PhD thesis, submitted to the Department of Applied Mathematics at Charles University. It serves mainly for myself as a compendium of my research on submodular optimiza-tion and related problems, at Microsoft Research and Princeton University between 2005-07. Princeton, November 8, 2007 Acknowledgement
Principled Optimization Of Dynamic Neural Networks
This dissertation in particular focuses on an under served, yet important problem: the representation, optimization, differentiation and execution of dynamic neural networks.In this thesis I propose generalizing overspecialized compilation techniques applied to static dataflow graphs, the predominant programming model of deep learning, to fully ...
PDF Benchmarking the Performance of Bayesian Optimization across Multiple
algorithms, such as Bayesian Optimization (BO), have been leveraged for guiding autonomous high-throughput experimentation (HTE) systems. There have been individual studies successfully applying BO in experimental materials optimization, yet very few evaluated the performance of BO as a general optimization algorithm
Macroscopic Data Structure Analysis and Optimization
This thesis presents a new class of techniques named ``Macroscopic Data Structure Analyses and Optimizations'', which is a new approach to the problem of analyzing and optimizing pointer-intensive programs. Instead of analyzing individual load/store operations or structure definitions, this approach identifies, analyzes, and transforms entire ...
Global Optimization with Hybrid Evolutionary Computation
Student thesis: Phd. Abstract An investigation has been made into hybrid systems which include stochastic and deterministic optimization. This thesis aims to provide new and relevant insights into the design of the nature-inspired hybrid optimization paradigms. It combines evolutionary and gradient-based methods.
PDF Tilburg University Primal and dual approaches to adjustable robust
1.2.2 Model formulation and linear decision rule solutions. Adjustable robust optimization is a way to extend the static robust model (1.3) to account for wait-and-see decisions. The formulation of the constraints is such that for allζin the uncertainty set Uthere exists a wait-and-see decisiony∈Rnythat.
High Fidelity Multi-Scale Topology Optimization
This Ph.D. thesis presents significant advancements in multi-scale topology optimization, focusing on high fidelity optimization frameworks capable of addressing complex, scaled, and practical ...
PDF Optimization of Field Development Using Particle Swarm Optimization and
A DISSERTATION SUBMITTED TO THE DEPARTMENT OF ENERGY RESOURCES ENGINEERING AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY ... The optimization of the type and location of new wells is an important issue in oil field development. Computational algorithms are often employed for this task. The problem is
Available master theses in optimization
Work on a master thesis usually falls into one or more of the following categories: : Design an optimization formulation based on the description of the problem. The formulation is implemented, and the aptness of the formulation for solving the problem is examined experimentally and possibly theoretically.
Dissertations
PhD thesis, Stanford University, December 2003. Carl-Magnus Fransson (Visiting Researcher, 2001-2003). Optimization Methods for Robust Control, with Application to Resistive Wall Modes in Tokamaks. PhD thesis, Dept of Signals and Systems, Chalmers University of Technology, Goteborg, Sweden, September 2003.
PDF A Nonsmooth Approach to Modeling and Optimization
In this thesis, simulation mod-els for complex single mixed refrigerant and dual mixed refrigerant processes are developed. Cases are constructed, where results are compared with existing soft-ware for validation. In addition, a dual mixed refrigerant process is subjected to an optimization study using IPOPT.
Design of Material Structures Using Topology Optimization
Since the material microstructure design [9, 32, 33] using topology optimization was proposed in 1994, many researchers utilized the homogenization theory [3] to estimate the effective properties ...
PDF Portfolio Management and Optimal Execution a Dissertation
VIA CONVEX OPTIMIZATION A DISSERTATION SUBMITTED TO THE DEPARTMENT OF MANAGEMENT SCIENCE AND ENGINEERING AND THE COMMITTEE ON GRADUATE STUDIES ... This dissertation covers three related applications, in the eld of nance, and in particular of multi-period investment management, of convex optimization [21] and
PDF Particle swarm optimization: theoretical analysis, modifications and
This is a PhD thesis by publication. It includes five journal papers, three of them already published, and two submitted for publication in a very high quality ... In this thesis we studied an optimization algorithm called Particle Swarm Optimization (PSO) from theoretical and application point of views. The main focus of the theoretical ...
Graduate Thesis Or Dissertation
The goal of this thesis is to introduce a unified topology optimization framework that uses the Level Set Method (LSM) to describe the design geometry and the eXtended Finite Element Method (XFEM) to solve the governing equations and measure the performance of the design. ... and qualitatively through its application to topology optimization ...
Practical bayesian optimization
This work examines the last of the Bayesian response-surface approach to global optimization, which maintains a posterior model of the function being optimized by combining a prior over functions with accumulating function evaluations. Global optimization of non-convex functions over real vector spaces is a problem of widespread theoretical and practical interest. In the past fifty years ...
PDF Analysis and Application of Optimization Techniques to Power System
Analysis and Application of Optimization Techniques to Power System Security and Electricity Markets by Jos´e Rafael Avalos Mun˜oz A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Doctor of Philosophy in Electrical and Computer Engineering Waterloo, Ontario, Canada, 2008
Structured Semidefinite Programs and Semialgebraic Geometry Methods in
PhD Dissertation, California Institute of Technology, May 2000. ... The other main contribution in this thesis is the formulation of a convex optimization framework for semialgebraic problems, i.e., those that can be expressed by polynomial equalities and inequalities. The key element is the interaction of concepts in real algebraic geometry ...
PhD and Masters Theses
The theses produced at the ORC are a principle way in which the ORC achieves its mission. Whether you are a member of our doctoral degree (PhD) program or our master's degree (SM) program in operations research, you will write a thesis based on original, independent research conducted under the guidance of our expert faculty.
Cecil/Vortex Project Ph.D. Thesis: "Whole-Program Optimization of
Jeffrey Dean This dissertation examines the use of whole-program optimization as a way of improving the performance of object-oriented programming languages. Although object-oriented pro gramming conveys a number of software engineering benefits, heavy application of its trade mark feature, dynamic dispatching, imposes severe performance ...
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VIDEO
COMMENTS
Global optimization, convex relaxation and distributed computation are at the heart of this PhD dissertation. Some of the specific problems to be addressed in this thesis on both the theory and the application of nonlinear optimization are explained below: Graph theoretic algorithms for low-rank optimization problems: There is a rapidly growing ...
this thesis, we present scalable optimization methods for several large-scale machine learning problems under structural constraints, with a focus on shape constraints in ... on research and PhD life, Shibal Ibrahim for his invaluable expertise in deep learn-ing, Kayhan Behdin for his critical insights into statistics, and Haoyue Wang, Riade ...
Thesis Outline This dissertation is organized into five parts. Part 1 gives a high-level overview of the content of this dissertation. Part 2 (Chapter 2) is the modern revisit of the classical idea of Kelly gambling using distributional robust optimization idea.
This is a PhD thesis by publication. It includes five journal papers, three of them already published, and two submitted for publication in a very high quality ... In this thesis we studied an optimization algorithm called Particle Swarm Optimization (PSO) from theoretical and application point of views. The main focus of the theoretical ...
On the 8th of December 2021, M.Sc. Kari Rantanen will defend his doctoral thesis on Optimization Algorithms for Learning Graphical Model Structures. The thesis a part of research done in the Department of Computer Science and in the Constraint Reasoning and Optimization research group at the University of Helsinki.
This a continually updated version of my second PhD thesis, submitted to the Department of Applied Mathematics at Charles University. It serves mainly for myself as a compendium of my research on submodular optimiza-tion and related problems, at Microsoft Research and Princeton University between 2005-07. Princeton, November 8, 2007 Acknowledgement
This dissertation in particular focuses on an under served, yet important problem: the representation, optimization, differentiation and execution of dynamic neural networks.In this thesis I propose generalizing overspecialized compilation techniques applied to static dataflow graphs, the predominant programming model of deep learning, to fully ...
algorithms, such as Bayesian Optimization (BO), have been leveraged for guiding autonomous high-throughput experimentation (HTE) systems. There have been individual studies successfully applying BO in experimental materials optimization, yet very few evaluated the performance of BO as a general optimization algorithm
This thesis presents a new class of techniques named ``Macroscopic Data Structure Analyses and Optimizations'', which is a new approach to the problem of analyzing and optimizing pointer-intensive programs. Instead of analyzing individual load/store operations or structure definitions, this approach identifies, analyzes, and transforms entire ...
Student thesis: Phd. Abstract An investigation has been made into hybrid systems which include stochastic and deterministic optimization. This thesis aims to provide new and relevant insights into the design of the nature-inspired hybrid optimization paradigms. It combines evolutionary and gradient-based methods.
1.2.2 Model formulation and linear decision rule solutions. Adjustable robust optimization is a way to extend the static robust model (1.3) to account for wait-and-see decisions. The formulation of the constraints is such that for allζin the uncertainty set Uthere exists a wait-and-see decisiony∈Rnythat.
This Ph.D. thesis presents significant advancements in multi-scale topology optimization, focusing on high fidelity optimization frameworks capable of addressing complex, scaled, and practical ...
A DISSERTATION SUBMITTED TO THE DEPARTMENT OF ENERGY RESOURCES ENGINEERING AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY ... The optimization of the type and location of new wells is an important issue in oil field development. Computational algorithms are often employed for this task. The problem is
Work on a master thesis usually falls into one or more of the following categories: : Design an optimization formulation based on the description of the problem. The formulation is implemented, and the aptness of the formulation for solving the problem is examined experimentally and possibly theoretically.
PhD thesis, Stanford University, December 2003. Carl-Magnus Fransson (Visiting Researcher, 2001-2003). Optimization Methods for Robust Control, with Application to Resistive Wall Modes in Tokamaks. PhD thesis, Dept of Signals and Systems, Chalmers University of Technology, Goteborg, Sweden, September 2003.
In this thesis, simulation mod-els for complex single mixed refrigerant and dual mixed refrigerant processes are developed. Cases are constructed, where results are compared with existing soft-ware for validation. In addition, a dual mixed refrigerant process is subjected to an optimization study using IPOPT.
Since the material microstructure design [9, 32, 33] using topology optimization was proposed in 1994, many researchers utilized the homogenization theory [3] to estimate the effective properties ...
VIA CONVEX OPTIMIZATION A DISSERTATION SUBMITTED TO THE DEPARTMENT OF MANAGEMENT SCIENCE AND ENGINEERING AND THE COMMITTEE ON GRADUATE STUDIES ... This dissertation covers three related applications, in the eld of nance, and in particular of multi-period investment management, of convex optimization [21] and
This is a PhD thesis by publication. It includes five journal papers, three of them already published, and two submitted for publication in a very high quality ... In this thesis we studied an optimization algorithm called Particle Swarm Optimization (PSO) from theoretical and application point of views. The main focus of the theoretical ...
The goal of this thesis is to introduce a unified topology optimization framework that uses the Level Set Method (LSM) to describe the design geometry and the eXtended Finite Element Method (XFEM) to solve the governing equations and measure the performance of the design. ... and qualitatively through its application to topology optimization ...
This work examines the last of the Bayesian response-surface approach to global optimization, which maintains a posterior model of the function being optimized by combining a prior over functions with accumulating function evaluations. Global optimization of non-convex functions over real vector spaces is a problem of widespread theoretical and practical interest. In the past fifty years ...
Analysis and Application of Optimization Techniques to Power System Security and Electricity Markets by Jos´e Rafael Avalos Mun˜oz A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Doctor of Philosophy in Electrical and Computer Engineering Waterloo, Ontario, Canada, 2008
PhD Dissertation, California Institute of Technology, May 2000. ... The other main contribution in this thesis is the formulation of a convex optimization framework for semialgebraic problems, i.e., those that can be expressed by polynomial equalities and inequalities. The key element is the interaction of concepts in real algebraic geometry ...
The theses produced at the ORC are a principle way in which the ORC achieves its mission. Whether you are a member of our doctoral degree (PhD) program or our master's degree (SM) program in operations research, you will write a thesis based on original, independent research conducted under the guidance of our expert faculty.
Jeffrey Dean This dissertation examines the use of whole-program optimization as a way of improving the performance of object-oriented programming languages. Although object-oriented pro gramming conveys a number of software engineering benefits, heavy application of its trade mark feature, dynamic dispatching, imposes severe performance ...