Computational optimization : success in practice
Author(s)
Bibliographic Information
Computational optimization : success in practice
（Textbooks in mathematics）（A Chapman & Hall book）
CRC Press, 2023
- : hbk
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Note
Includes bibliographical references (p. 383-385) and index
Description and Table of Contents
Description
The field and topic of optimization is not only a very hot topic now, it is morphing into new approaches.
Presents a very contemporary approach.
Appeal to mathematicians, yet will also find use in computer science and engineering, especially in operations research.
Practical approach presents a framework to be used by students and professionals alike to tackle models needed for various applications and solutions.
Table of Contents
Chapter 1. Introduction to Optimization. Chapter 2. Minimization Approaches for Functions of One Variable. Chapter 3. Generalized Optimization Framework. Chapter 4. Exploring Optimization Algorithms. Chapter 5. Line Search Algorithms. Chapter 6. Choosing Optimal Step Size. Chapter 7. Trust Region and Derivative-Free Methods. Chapter 8. Large-Scale and Constrained Optimization. Chapter 9. ODE-based Optimization. Chapter 10. Implementing Regularization Techniques. Chapter 11. Moving to PDE-based Optimization. Chapter 12. Sharing Multiple Software Environments.
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