Nonlinear Optimization / / Andrzej Ruszczynski.
Optimization is one of the most important areas of modern applied mathematics, with applications in fields from engineering and economics to finance, statistics, management science, and medicine. While many books have addressed its various aspects, Nonlinear Optimization is the first comprehensive t...
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Superior document: | Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013 |
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Place / Publishing House: | Princeton, NJ : : Princeton University Press, , [2011] ©2006 |
Year of Publication: | 2011 |
Language: | English |
Online Access: | |
Physical Description: | 1 online resource (464 p.) :; 35 line illus. |
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Table of Contents:
- Frontmatter
- Contents
- Preface
- Chapter One. Introduction
- PART 1. Theory
- Chapter Two. Elements of Convex Analysis
- Chapter Three. Optimality Conditions
- Chapter Four. Lagrangian Duality
- PART 2. Methods
- Chapter Five. Unconstrained Optimization of Differentiable Functions
- Chapter Six. Constrained Optimization of Differentiable Functions
- Chapter Seven. Nondifferentiable Optimization
- Appendix A. Stability of Set-Constrained Systems
- Further Reading
- Bibliography
- Index