Derivative-Free and Blackbox Optimization

Released on by Charles Audet
preview-18

  • Derivative-Free and Blackbox Optimization Book Detail

  • Author : Charles Audet
  • Release Date : 2017-12-02
  • Publisher : Springer
  • Genre : Mathematics
  • Pages : 307
  • ISBN 13 : 3319689134
  • File Size : 64,64 MB
DOWNLOAD BOOK

Derivative-Free and Blackbox Optimization by Charles Audet PDF Summary

Book Description: This book is designed as a textbook, suitable for self-learning or for teaching an upper-year university course on derivative-free and blackbox optimization. The book is split into 5 parts and is designed to be modular; any individual part depends only on the material in Part I. Part I of the book discusses what is meant by Derivative-Free and Blackbox Optimization, provides background material, and early basics while Part II focuses on heuristic methods (Genetic Algorithms and Nelder-Mead). Part III presents direct search methods (Generalized Pattern Search and Mesh Adaptive Direct Search) and Part IV focuses on model-based methods (Simplex Gradient and Trust Region). Part V discusses dealing with constraints, using surrogates, and bi-objective optimization. End of chapter exercises are included throughout as well as 15 end of chapter projects and over 40 figures. Benchmarking techniques are also presented in the appendix.

Disclaimer: www.yourbookbest.com does not own Derivative-Free and Blackbox Optimization books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Derivative-Free and Blackbox Optimization

Derivative-Free and Blackbox Optimization

File Size : 59,59 MB
Total View : 8079 Views
DOWNLOAD

This book is designed as a textbook, suitable for self-learning or for teaching an upper-year university course on derivative-free and blackbox optimization. Th

Implicit Filtering

Implicit Filtering

File Size : 18,18 MB
Total View : 8104 Views
DOWNLOAD

A description of the implicit filtering algorithm, its convergence theory and a new MATLAB® implementation.