The purpose of this dissertation was to provide a review of the theory of Optimization, in particular quadratic programming, and the algorithms suitable for solving both convex and non-convex quadratic programming problems. Optimization problems arise in a wide variety of fields and many can be effectively modeled with linear equations. However, there are problems for which linear models are not sufficient thus creating a need for non-linear systems. This dissertation includes a literature study of the formal theory necessary for understanding optimization and an investigation of the algorithms available for solving a special class of the non-linear programming problem, namely the quadratic programming problem. It was not the intention of t...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Engineering Systems Division, 2013.Cataloged...
Immobile location-allocation (LA) problems is a type of LA problem that consists in determining the ...
Combinatorial testing has been an active research area in recent years. One challenge in this area ...
Simulation Optimization (SO) is the use of mathematical optimization techniques in which the objecti...
University of Technology, Sydney. Dept. of Software Engineering.By focusing on data and flow control...
Parallel complexity theory is currently one of the fastest growing fields of theoretical computer sc...
In numerous clinical/experimental studies, multiple endpoints are measured on each subject. It is of...
Knapsack problem (KP) has broad applications in different fields such as machine scheduling, space a...
The progress made by the theory of the firm has been outstanding in the last 80 years, its central c...
A wide range of problems arising in practical applications can be formulated as Mixed-Integer Nonlin...
Abstract: The partial information rational expectations solution to a general linear multivariate ex...
The design of products and processes makes increasing use of computer simulations for the prediction...
The need to manage project risk, through the use of decision analysis tools and other approaches wil...
The body of the paper is divided into three parts: Part one: include definitions and examples of the...
This study proposes a self-adaptive penalty function algorithm for solving constrained optimization ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Engineering Systems Division, 2013.Cataloged...
Immobile location-allocation (LA) problems is a type of LA problem that consists in determining the ...
Combinatorial testing has been an active research area in recent years. One challenge in this area ...
Simulation Optimization (SO) is the use of mathematical optimization techniques in which the objecti...
University of Technology, Sydney. Dept. of Software Engineering.By focusing on data and flow control...
Parallel complexity theory is currently one of the fastest growing fields of theoretical computer sc...
In numerous clinical/experimental studies, multiple endpoints are measured on each subject. It is of...
Knapsack problem (KP) has broad applications in different fields such as machine scheduling, space a...
The progress made by the theory of the firm has been outstanding in the last 80 years, its central c...
A wide range of problems arising in practical applications can be formulated as Mixed-Integer Nonlin...
Abstract: The partial information rational expectations solution to a general linear multivariate ex...
The design of products and processes makes increasing use of computer simulations for the prediction...
The need to manage project risk, through the use of decision analysis tools and other approaches wil...
The body of the paper is divided into three parts: Part one: include definitions and examples of the...
This study proposes a self-adaptive penalty function algorithm for solving constrained optimization ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Engineering Systems Division, 2013.Cataloged...
Immobile location-allocation (LA) problems is a type of LA problem that consists in determining the ...
Combinatorial testing has been an active research area in recent years. One challenge in this area ...