Introduction to Global Optimization (Second Edition) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Introduction to Global Optimization (Second Edition)

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R. Horst 作者
Springer
譯者
2000 出版日期
353 頁數
N.V. Thoai 價格
叢書系列
9780792365747 圖書編碼

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Introduction to Global Optimization (Second Edition) 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Introduction to Global Optimization (Second Edition) 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Introduction to Global Optimization (Second Edition) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



Introduction to Global Optimization (Second Edition) 在線電子書 用戶評價

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二次規劃、凹規劃、D.C.規劃、Lipschitz規劃

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二次規劃、凹規劃、D.C.規劃、Lipschitz規劃

評分

二次規劃、凹規劃、D.C.規劃、Lipschitz規劃

評分

二次規劃、凹規劃、D.C.規劃、Lipschitz規劃

評分

二次規劃、凹規劃、D.C.規劃、Lipschitz規劃

Introduction to Global Optimization (Second Edition) 在線電子書 著者簡介


Introduction to Global Optimization (Second Edition) 在線電子書 著者簡介


Introduction to Global Optimization (Second Edition) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Introduction to Global Optimization (Second Edition) 在線電子書 圖書描述

Most of the existing books on optimization focus on the problem of computing locally optimal solutions. Global optimization is concerned with the computation and characterization of global optima of nonlinear functions. Global optimization problems are widespread in the mathematical modeling of real world systems for a very broad range of applications. During the past three decades many new theoretical, algorithmic, and computational contributions have helped to solve globally multi-extreme problems arising from important practical applications.

Introduction to Global Optimization is the first comprehensive textbook that covers the fundamentals in global optimization. The second edition includes algorithms, applications, and complexity results for quadratic programming, concave minimization, DC and Lipshitz problems, decomposition algorithms for nonconvex optimization, and nonlinear network flow problems. Each chapter contains illustrative examples and ends with carefully selected exercises, which are designed to help the student to get a grasp of the material and enhance their knowledge of global optimization methods.

Audience: This textbook is addressed not only to students of mathematical programming, but to all scientists in various disciplines who need global optimization methods to model and solve problems.

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