Practical mathematical optimization : an introduction to basic optimization theory and classical and new gradient-based algorithms /by Jan A. Snyman
著者
書誌事項
Practical mathematical optimization : an introduction to basic optimization theory and classical and new gradient-based algorithms /by Jan A. Snyman
（Applied optimization, v. 97）
Springer, c2005
- : pbk
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form. It enables professionals to apply optimization theory to engineering, physics, chemistry, or business economics.
目次
Preface
Table of Notation Chapter 1. Introduction
Chapter 2. Line Search Descent Methods for Unconstrained Minimization
Chapter 3. Standard Methods for Constrained Optimization
Chapter 4. New Gradient-Based Trajectory and Approximation Methods
Chapter 5. Example Problems
Chapter 6. Some Theorems
Chapter 7. The Simplex Method for Linear Programming Problems Bibliography
Index
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