Introduction to derivative-free optimization - Info and Reading Options
By A. R. Conn
"Introduction to derivative-free optimization" was published by Society for Industrial and Applied Mathematics in 2008 - Philadelphia, it has 277 pages and the language of the book is English.
“Introduction to derivative-free optimization” Metadata:
- Title: ➤ Introduction to derivative-free optimization
- Author: A. R. Conn
- Language: English
- Number of Pages: 277
- Publisher: ➤ Society for Industrial and Applied Mathematics
- Publish Date: 2008
- Publish Location: Philadelphia
“Introduction to derivative-free optimization” Subjects and Themes:
- Subjects: ➤ Engineering mathematics - Industrial applications - Industrial engineering - Mathematical models - Mathematical optimization - Mathematics - Nonlinear theories - Search theory - Optimierung - Angewandte Mathematik - Mathematisches Modell - Mathematical optimization--industrial applications - Industrial engineering--mathematics - Ta342 .c67 2009 - 519.6 - Mat 916f - Sk 870 - Sk 950
Edition Specifications:
- Pagination: p. cm.
Edition Identifiers:
- The Open Library ID: OL22502062M - OL4287196W
- Online Computer Library Center (OCLC) ID: 424586540 - 244660709
- Library of Congress Control Number (LCCN): 2008038005
- ISBN-13: 9780898716689
- All ISBNs: 9780898716689
AI-generated Review of “Introduction to derivative-free optimization”:
"Introduction to derivative-free optimization" Table Of Contents:
- 1- Introduction
- 2- Sampling and linear models
- 3- Interpolating nonlinear models
- 4- Regression nonlinear models
- 5- Underdetermined interpolating models
- 6- Ensuring well poisedness and derivative-free models
- 7- Directional direct-search methods
- 8- Simplicial direct-search methods
- 9- Line-search methods based on simplex derivatives
- 10- Trust-region methods based on derivative-free models
- 11- Trust-region interpolation-based methods
- 12- Review of surrogate model management
- 13- Review of constrained and other extensions to derivative-free optimization.
"Introduction to derivative-free optimization" Description:
The Open Library:
The absence of derivatives, often combined with the presence of noise or lack of smoothness, is a major challenge for optimisation. This book explains how sampling and model techniques are used in derivative-free methods and how these methods are designed to efficiently and rigorously solve optimisation problems.
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