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(Download) "Derivative-Free and Blackbox Optimization" by Charles Audet & Warren Hare # eBook PDF Kindle ePub Free

Derivative-Free and Blackbox Optimization

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eBook details

  • Title: Derivative-Free and Blackbox Optimization
  • Author : Charles Audet & Warren Hare
  • Release Date : January 02, 2017
  • Genre: Mathematics,Books,Science & Nature,
  • Pages : * pages
  • Size : 7260 KB

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.


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