Modern Optimization Methods / / Qingna LI.
With the fast development of big data and artificial intelligence, a natural question is how do we analyze data more efficiently? One of the efficient ways is to use optimization. What is optimization? Optimization exists everywhere. People optimize. As long as you have choices, you do optimization....
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| Place / Publishing House: | Les Ulis : : EDP Sciences, , [2023] 2023 |
| Year of Publication: | 2023 |
| Language: | English |
| Online Access: | |
| Physical Description: | 1 online resource (157 p.) |
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Table of Contents:
- Frontmatter
- Preface
- Contents
- Chapter 1. Introduction
- Chapter 2. Fundamentals of Optimization
- Chapter 3. Line Search Methods
- Chapter 4. Trust Region Methods
- Chapter 5. Conjugate Gradient Methods
- Chapter 6. Semismooth Newton's Method
- Chapter 7. Theory of Constrained Optimization
- Chapter 8. Penalty and Augmented Lagrangian Methods
- Chapter 9. Bilevel Optimization and Its Applications
- Bibliography