Introduction to the Theory of Nonlinear Optimization /
This book serves as an introductory text to optimization theory in normed spaces. Topics of this book are existence results, various differentiability notions together with optimality conditions, the contingent cone, a generalization of the Lagrange multiplier rule, duality theory, and the investiga...
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| Format: | eBook |
| Language: | English |
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Berlin, Heidelberg :
Springer Berlin Heidelberg,
1994.
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Introduction and Problem Formulation
- Existence Theorems for Minimal Points: Problem Formulation
- Existence Theorems
- Set of Minimal Points
- Application to Approximation Problems
- Application to Optimal Control Problems
- Generalized Derivatives: Directional Derivative
- Gâteaux and Fréchet Derivatives
- Subdifferential
- Quasidifferential
- Clarke Derivative
- Tangent Cones: Definition and Properties
- Optimality Conditions
- A Lyusternik Theorem
- Generalized Lagrange Multiplier Rule: Problem Formulation
- Necessary Optimality Conditions
- Sufficient Optimality Conditions
- Application to Optimal Control Problems
- Duality: Problem Formulation
- Duality Theorems
- Saddle Point Theorems
- Linear Problems
- Application to Approximation Problems
- Direct Treatment of Special Optimization Problems: Linear Quadratic Optimal Control Problems
- Time Minimal Control Problems
- Appendices: Weak Convergence
- Reflexity of Banach Spaces
- Hahn-Banach Theorem
- Partially Ordered Linear Spaces.