Practical Mathematical Optimization : Basic Optimization Theory and Gradient-Based Algorithms. 2nd ed. 2018
- 種類:
- 電子ブック
- 責任表示:
- by Jan A Snyman, Daniel N Wilke
- 出版情報:
- Cham : Springer International Publishing : Imprint: Springer, 2018
- 著者名:
- シリーズ名:
- Springer Optimization and Its Applications ; 133
- ISBN:
- 9783319775869 [3319775863]
- 注記:
- 1.Introduction -- 2.Line search descent methods for unconstrained minimization.-3. Standard methods for constrained optimization.-4. Basic Example Problems -- 5. Some Basic Optimization Theorems -- 6. New gradient-based trajectory and approximation methods -- 7. Surrogate Models -- 8. Gradient-only solution strategies -- 9. Practical computational optimization using Python -- Appendix -- Index.
This textbook presents a wide range of tools for a course in mathematical optimization for upper undergraduate and graduate students in mathematics, engineering, computer science, and other applied sciences. Basic optimization principles are presented with emphasis on gradient-based numerical optimization strategies and algorithms for solving both smooth and noisy discontinuous optimization problems. Attention is also paid to the difficulties of expense of function evaluations and the existence of multiple minima that often unnecessarily inhibit the use of gradient-based methods. This second edition addresses further advancements of gradient-only optimization strategies to handle discontinuities in objective functions. New chapters discuss the construction of surrogate models as well as new gradient-only solution strategies and numerical optimization using Python. A special Python module is electronically available (via springerlink) that makes the new algorithms featured in the text easily accessible and dir - ローカル注記:
- 学内専用E-BOOKS (local access only)
類似資料:
Springer Science+Business Media, Inc. |
Springer New York : Imprint: Springer |
Springer Science+Business Media, Inc. |
Springer International Publishing : Imprint: Springer |
Springer New York : Imprint: Springer |
Springer International Publishing : Imprint: Springer |
4
電子ブック
Deterministic Global Optimization : Geometric Branch-and-bound Methods and their Applications
Springer Science+Business Media, LLC |
Springer International Publishing : Imprint: Springer |
Springer US |
Springer International Publishing : Imprint: Springer |
Springer International Publishing : Imprint: Springer |
Springer International Publishing : Imprint: Springer |