Nonlinear Programming 新书_图书内容介绍_剧情呢
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Nonlinear Programming读书介绍

类别 页数 译者 网友评分 年代 出版社
书籍 880页 2020 Athena Scientific
定价 出版日期 最近访问 访问指数
USD 89.00 2020-02-20 … 2020-03-08 … 41
主题/类型/题材/标签
最优化,Optimization,美国,统计/数学/运筹,数学,DimitriBertsekas,数学和计算机,教材,
作者
Dimitri Bertsekas      ISBN:9781886529052    原作名/别名:《》
内容和作者简介
Nonlinear Programming摘要

The third edition of the book is a thoroughly rewritten version of the 1999 2nd edition. New material was included, some of the old material was discarded, and a large portion of the remainder was reorganized or revised.

This book provides a comprehensive and accessible presentation of algorithms for solving continuous optimization problems. It relies on rigorous mathematical a...

作者简介

The third edition of the book is a thoroughly rewritten version of the 1999 2nd edition. New material was included, some of the old material was discarded, and a large portion of the remainder was reorganized or revised.

This book provides a comprehensive and accessible presentation of algorithms for solving continuous optimization problems. It relies on rigorous mathematical analysis, but also aims at an intuitive exposition that makes use of visualization where possible. It places particular emphasis on modern developments, and their widespread applications in fields such as large-scale resource allocation problems, signal processing, and machine learning.

The book was developed through instruction at MIT, focuses on nonlinear and other types of optimization: iterative algorithms for constrained and unconstrained optimization, Lagrange multipliers and duality, large scale problems, and the interface between continuous and discrete optimization. Among its special features, the book: 1) provides extensive coverage of iterative optimization methods within a unifying framework 2) provides a detailed treatment of interior point methods for linear programming 3) covers in depth duality theory from both a variational and a geometrical/convex analysis point of view 4) includes much new material on a number of topics, such as neural network training, large-scale optimization, signal processing, machine learning, and optimal control 5) includes a large number of examples and exercises detailed solutions of many of which are posted on the internet. Much supplementary/support material can be found at the book's web page

本书后续版本
未发行或暂未收录
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