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A Study on Efficient Algorithms for some Numerical Optimization Problems

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Authors
이선정
Advisor
신동우
Major
자연과학대학 수리과학부
Issue Date
2013-02
Publisher
서울대학교 대학원
Description
학위논문 (박사)-- 서울대학교 대학원 : 수리과학부, 2013. 2. 신동우.
Abstract
This thesis is mainly divided into two parts: parameter estimation problem in linear differential equations and a minimization algorithm which is applicable to some industrial problem.
In general, mathematical optimization problems are to find optimal ele- ments of a set which minimize (or maximize) the value of a given objective function. It is well known problem and arises in a various field of applications such as science, engineering, business and so on. It has a long history and there are still very much a work in progress.
Optimization problems usually depend on the properties of objective func- tions involved. If functions are simple, e.g., linear, the the problem is easy to solve and moreover mathematical theories completed. If it is complex, however, it is hard to solve it theoretically and/or numerically.
In this thesis, we suggest algorithms which is related to two specific opti- mization problems. These problems are both include nonlinear objective func- tions. The first part is to find a optimal parameter function of a differential equation and the second part is to find optimal solution of a facility location
problem. Each parts contains theories about the solution, such as the exis- tence and the uniqueness of the optimal solution, and numerical examples are included.
Language
English
URI
https://hdl.handle.net/10371/121264
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College of Natural Sciences (자연과학대학)Dept. of Mathematical Sciences (수리과학부)Theses (Ph.D. / Sc.D._수리과학부)
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