Related Books

A Derivative-free Two Level Random Search Method for Unconstrained Optimization
Language: en
Pages: 126
Authors: Neculai Andrei
Categories: Mathematics
Type: BOOK - Published: 2021-03-31 - Publisher: Springer Nature

DOWNLOAD EBOOK

The book is intended for graduate students and researchers in mathematics, computer science, and operational research. The book presents a new derivative-free o
Derivative-Free and Blackbox Optimization
Language: en
Pages: 307
Authors: Charles Audet
Categories: Mathematics
Type: BOOK - Published: 2017-12-02 - Publisher: Springer

DOWNLOAD EBOOK

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
Introduction to Derivative-Free Optimization
Language: en
Pages: 276
Authors: Andrew R. Conn
Categories: Mathematics
Type: BOOK - Published: 2009-04-16 - Publisher: SIAM

DOWNLOAD EBOOK

The first contemporary comprehensive treatment of optimization without derivatives. This text explains how sampling and model techniques are used in derivative-
Algorithms for Optimization
Language: en
Pages: 521
Authors: Mykel J. Kochenderfer
Categories: Computers
Type: BOOK - Published: 2019-03-12 - Publisher: MIT Press

DOWNLOAD EBOOK

A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems. This book offers a comprehensive introd
Numerical Optimization
Language: en
Pages: 686
Authors: Jorge Nocedal
Categories: Mathematics
Type: BOOK - Published: 2006-12-11 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Optimization is an important tool used in decision science and for the analysis of physical systems used in engineering. One can trace its roots to the Calculus