Practical Optimization Algorithms and Engineering Applications
In recent decades, advancements in the efficiency of digital computers and the evolution of reliable software for numerical computation have led to a rapid growth in the theory, methods, and algorithms of numerical optimization. This body of knowledge has motivated widespread applications of optimiz...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer US
2021, 2021
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| Edition: | 2nd ed. 2021 |
| Series: | Texts in Computer Science
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- The Optimization Problem
- Basic Principles
- General Properties of Algorithms
- One-Dimensional Optimization
- Basic Multidimensional Gradient Methods
- Conjugate-Direction Methods
- Quasi-Newton Methods
- Minimax Methods
- Applications of Unconstrained Optimization
- Fundamentals of Constrained Optimization
- Linear Programming Part I: The Simplex Method
- Linear Programming Part II: Interior-Point Methods
- Quadratic and Convex Programming
- Semidefinite and Second-Order Cone Programming
- General Nonlinear Optimization Problems
- Applications of Constrained Optimization