E-Books →Kelley C Iterative Methods for Optimization 1999
Published by: Emperor2011 on 10-03-2023, 17:45 | 
0
Kelley C Iterative Methods for Optimization 1999 | 7.11 MB
English | 188 Pages
Title: P:\TEX\BOOKS\fr18kelley2000reprintredo\optimtr
Author: SIAM (#1) 1035 2001 Apr 10 12:32:38
Year: 2021
Description:
This book presents a carefully selected group of methods for unconstrained and bound constrained optimization problems and analyzes them in depth both theoretically and algorithmically. It focuses on clarity in algorithmic description and analysis rather than generality, and while it provides pointers to the literature for the most general theoretical results and robust software, the author thinks it is more important that readers have a complete understanding of special cases that convey essential ideas. A companion to Kelley’s book, Iterative Methods for Linear and Nonlinear Equations (SIAM, 1995), this book contains many exercises and examples and can be used as a text, a tutorial for self-study, or a reference. Iterative Methods for Optimization does more than cover traditional gradient-based optimization: it is the first book to treat sampling methods, including the Hookeâ€"Jeeves, implicit filtering, MDS, and Nelderâ€"Mead schemes in a unified way, and also the first book to make connections between sampling methods and the traditional gradient-methods.Thus, readers can experiment with the algorithms in an easy way as well as implement them in other languages.
DOWNLOAD:
https://rapidgator.net/file/18cfcd88968454ae9f9bbf9c8703b9dc/Kelley_C._Iterative_Methods_for_Optimization_1999.rar
https://ddownload.com/pkx2jv84mzu3/Kelley_C._Iterative_Methods_for_Optimization_1999.rar
This book presents a carefully selected group of methods for unconstrained and bound constrained optimization problems and analyzes them in depth both theoretically and algorithmically. It focuses on clarity in algorithmic description and analysis rather than generality, and while it provides pointers to the literature for the most general theoretical results and robust software, the author thinks it is more important that readers have a complete understanding of special cases that convey essential ideas. A companion to Kelley’s book, Iterative Methods for Linear and Nonlinear Equations (SIAM, 1995), this book contains many exercises and examples and can be used as a text, a tutorial for self-study, or a reference. Iterative Methods for Optimization does more than cover traditional gradient-based optimization: it is the first book to treat sampling methods, including the Hookeâ€"Jeeves, implicit filtering, MDS, and Nelderâ€"Mead schemes in a unified way, and also the first book to make connections between sampling methods and the traditional gradient-methods.Thus, readers can experiment with the algorithms in an easy way as well as implement them in other languages.
DOWNLOAD:
https://rapidgator.net/file/18cfcd88968454ae9f9bbf9c8703b9dc/Kelley_C._Iterative_Methods_for_Optimization_1999.rar
https://ddownload.com/pkx2jv84mzu3/Kelley_C._Iterative_Methods_for_Optimization_1999.rar
Related News
-
{related-news}