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eBook Introduction to Global Optimization (Nonconvex Optimization and Its Applications) download

by R. Horst,Panos M. Pardalos,Nguyen Van Thoai

eBook Introduction to Global Optimization (Nonconvex Optimization and Its Applications) download ISBN: 0792335562
Author: R. Horst,Panos M. Pardalos,Nguyen Van Thoai
Publisher: Springer; 1995 edition (June 30, 1995)
Language: English
Pages: 320
ePub: 1749 kb
Fb2: 1813 kb
Rating: 4.1
Other formats: mobi doc azw rtf
Category: Math Sciences
Subcategory: Mathematics

by R. Horst (Author), Panos M. Pardalos (Author), Nguyen Van Thoai (Author) & 0 more. Convex Analysis and Global Optimization (Springer Optimization and Its Applications).

by R. ISBN-13: 978-0792367567. Hoang Tuy. Hardcover. Global Optimization Using Interval Analysis: Revised And Expanded (Pure and Applied Mathematics). Interfaces, 28 (1998) & this book provides an excellent introduction to the fascinating field of global optimization

by R. ISBN-13: 978-0792335573. Interfaces, 28 (1998) & this book provides an excellent introduction to the fascinating field of global optimization. Journal of Global Optimization, 9 (1996). Series: Nonconvex Optimization and Its Applications (Book 3).

Mathematics and its applications. Kluwer Academic Publishers.

Global optimization is distinguished from local optimization by its focus on finding the minima or maxima over the given set, as opposed to finding local minima or maxima. Finding an arbitrary local minima is relatively straightforward by using classical local optimization methods. Finding the global minima of a function is far more difficult: analytical methods are frequently not applicable, and the use of numerical solution strategies often leads to very hard challenges. Mathematics and its applications.

This excellent book is the first textbook on deterministic global optimization.

Global optimization problems are extraordinarily di­ verse and they include economic modeling, fixed charges, finance, networks and transportation, databases and chip design, image processing, nuclear and mechanical design, chemical engineering design and control, molecular biology, and environment al engineering. This excellent book is the first textbook on deterministic global optimization.

Introduction to Global Optimization, however, is a comprehensive textbook on constrained global optimization that .

Introduction to Global Optimization, however, is a comprehensive textbook on constrained global optimization that covers the fundamentals of the subject, presenting much new material, including algorithms, applications and complexity results for quadratic programming, concave minimization, DC and Lipschitz problems, and nonlinear network flow. Встречается в книгах (4) с 1995 по 2003.

by Reiner Horst (Author), Panos M. Pardalos (Author), Nguyen Van-Thoai (Author) & 0 more. Interfaces 28 (1998) & this book provides an excellent introduction to the fascinating field of global optimization

by Reiner Horst (Author), Panos M. Interfaces 28 (1998) & this book provides an excellent introduction to the fascinating field of global optimization. Journal of Global Optimization 9 (1996).

Автор: Horst . Pardalos . Introduction to Global Optimization is the first comprehensive textbook that covers the fundamentals in global optimization. Описание: Most of the existing books on optimization focus on the problem of computing locally optimal solutions. Global optimization problems are widespread in the mathematical modeling of real world systems for a very broad range of applications.

Global Optimization and Applications, Design and .

Global Optimization and Applications, Design and Analysis of Computer Algorithms, Com-putational Neuroscience, Parallel Computing in Mathematical Programming, Optimization in Biomedical Engineering, Telecommunications, Supply Chain, E-commerce, and Financial Egineering, Information Theory and Control, Massive Datasets and Data Mining, Coperative Systems, Scientic Computing, Software Design and Development.

The Handbook of Global Optimization is the first comprehensive book to cover recent developments in global optimization. Each contribution in the Handbook is essentially expository in nature, but scholarly in its treatment. The chapters cover optimality conditions, complexity results, concave minimization, DC programming, general quadratic programming, nonlinear complementarity, minimax problems, multiplicative programming, Lipschitz optimization, fractional programming, network problems, trajectory methods, homotopy methods, interval methods, and stochastic approaches.

Reiner Horst, Panos M. Pardalos and Nguyen V. Thoai (1995) Introduction to Global Optimization, Kluwer Academic . Holmqvist . Migdalas . 1997) Parallel Continuous Non-Convex Optimization. In: Migdalas . Thoai (1995) Introduction to Global Optimization, Kluwer Academic Publishers, Dordrecht. zbMATHGoogle Scholar. Reiner Horst and Panos M. Pardalos (1995) Handbook of Global Optimization, Kluwer Academic Publishers, Dordrecht. Storøy S. (eds) Parallel Computing in Optimization. Applied Optimization, vol 7. Springer, Boston, MA.

Global optimization concerns the computation and characterization of global optima of nonlinear functions. Such problems are widespread in the mathematical modelling of real systems in a very wide range of applications and the last 30 years have seen the development of many new theoretical, algorithmic and computational contributions which have helped to solve globally multiextreme problems in important practical applications. Most of the existing books on optimization focus on the problem of computing locally optimal solutions. Introduction to Global Optimization, however, is a comprehensive textbook on constrained global optimization that covers the fundamentals of the subject, presenting much new material, including algorithms, applications and complexity results for quadratic programming, concave minimization, DC and Lipschitz problems, and nonlinear network flow. Each chapter contains illustrative examples and ends with carefully selected exercises, designed to help students grasp the material and enhance their knowledge of the methods involved. Audience: Students of mathematical programming, and all scientists, from whatever discipline, who need global optimization methods in such diverse areas as economic modelling, fixed charges, finance, networks and transportation, databases, chip design, image processing, nuclear and mechanical design, chemical engineering design and control, molecular biology, and environmental engineering.