Special Issue on Nonlinear and Global Optimization

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Publisher :
ISBN 13 :
Total Pages : 214 pages
Book Rating : 4.:/5 (839 download)

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Book Synopsis Special Issue on Nonlinear and Global Optimization by : José Mario Martínez

Download or read book Special Issue on Nonlinear and Global Optimization written by José Mario Martínez and published by . This book was released on 2012 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of the International Conference on Nonlinear Analysis and Optimization

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Publisher :
ISBN 13 :
Total Pages : 122 pages
Book Rating : 4.:/5 (553 download)

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Book Synopsis Proceedings of the International Conference on Nonlinear Analysis and Optimization by : International Conference on Nonlinear Analysis and Optimization

Download or read book Proceedings of the International Conference on Nonlinear Analysis and Optimization written by International Conference on Nonlinear Analysis and Optimization and published by . This book was released on 2009 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Special Issue: The Third World Congress on Global Optimization

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (946 download)

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Book Synopsis Special Issue: The Third World Congress on Global Optimization by :

Download or read book Special Issue: The Third World Congress on Global Optimization written by and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Global Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 0387309276
Total Pages : 559 pages
Book Rating : 4.3/5 (873 download)

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Book Synopsis Global Optimization by : János D. Pintér

Download or read book Global Optimization written by János D. Pintér and published by Springer Science & Business Media. This book was released on 2006-10-13 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization models based on a nonlinear systems description often possess multiple local optima. The objective of Global Optimization (GO) is to find the best possible solution of multiextremal problems. This volume illustrates the applicability of GO modeling techniques and solution strategies to real-world problems. Coverage extends to a broad range of applications, from agroecosystem management to robot design. Proposed solutions encompass a range of practical and viable methods.

Special Issue on Frontiers in Global Optimization

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Publisher :
ISBN 13 :
Total Pages : 88 pages
Book Rating : 4.:/5 (254 download)

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Book Synopsis Special Issue on Frontiers in Global Optimization by : Christodoulos A. Floudas

Download or read book Special Issue on Frontiers in Global Optimization written by Christodoulos A. Floudas and published by . This book was released on 2004 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Special Issue: The 1st World Congress on Global Optimization in Engineering & Science

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ISBN 13 :
Total Pages : 148 pages
Book Rating : 4.:/5 (93 download)

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Book Synopsis Special Issue: The 1st World Congress on Global Optimization in Engineering & Science by :

Download or read book Special Issue: The 1st World Congress on Global Optimization in Engineering & Science written by and published by . This book was released on 2012 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov

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Publisher : MDPI
ISBN 13 : 3039438352
Total Pages : 116 pages
Book Rating : 4.0/5 (394 download)

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Book Synopsis Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov by : Napsu Karmitsa

Download or read book Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov written by Napsu Karmitsa and published by MDPI. This book was released on 2020-12-18 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book was to collect the most recent methods developed for NSO and its practical applications. The book contains seven papers: The first is the foreword by the Guest Editors giving a brief review of NSO and its real-life applications and acknowledging the outstanding contributions of Professor Adil Bagirov to both the theoretical and practical aspects of NSO. The second paper introduces a new and very efficient algorithm for solving uncertain unit-commitment (UC) problems. The third paper proposes a new nonsmooth version of the generalized damped Gauss–Newton method for solving nonlinear complementarity problems. In the fourth paper, the abs-linear representation of piecewise linear functions is extended to yield simultaneously their DC decomposition as well as the pair of generalized gradients. The fifth paper presents the use of biased-randomized algorithms as an effective methodology to cope with NP-hard and nonsmooth optimization problems in many practical applications. In the sixth paper, a problem concerning the scheduling of nuclear waste disposal is modeled as a nonsmooth multiobjective mixed-integer nonlinear optimization problem, and a novel method using the two-slope parameterized achievement scalarizing functions is introduced. Finally, the last paper considers binary classification of a multiple instance learning problem and formulates the learning problem as a nonconvex nonsmooth unconstrained optimization problem with a DC objective function.

Special Issue on Global Optimization with Mutiple Objects

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (939 download)

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Book Synopsis Special Issue on Global Optimization with Mutiple Objects by :

Download or read book Special Issue on Global Optimization with Mutiple Objects written by and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Deterministic Global Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 147574949X
Total Pages : 741 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Deterministic Global Optimization by : Christodoulos A. Floudas

Download or read book Deterministic Global Optimization written by Christodoulos A. Floudas and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: The vast majority of important applications in science, engineering and applied science are characterized by the existence of multiple minima and maxima, as well as first, second and higher order saddle points. The area of Deterministic Global Optimization introduces theoretical, algorithmic and computational ad vances that (i) address the computation and characterization of global minima and maxima, (ii) determine valid lower and upper bounds on the global minima and maxima, and (iii) address the enclosure of all solutions of nonlinear con strained systems of equations. Global optimization applications are widespread in all disciplines and they range from atomistic or molecular level to process and product level representations. The primary goal of this book is three fold : first, to introduce the reader to the basics of deterministic global optimization; second, to present important theoretical and algorithmic advances for several classes of mathematical prob lems that include biconvex and bilinear; problems, signomial problems, general twice differentiable nonlinear problems, mixed integer nonlinear problems, and the enclosure of all solutions of nonlinear constrained systems of equations; and third, to tie the theory and methods together with a variety of important applications.

Global Optimization

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Publisher : SIAM
ISBN 13 : 1611972671
Total Pages : 439 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis Global Optimization by : Marco Locatelli

Download or read book Global Optimization written by Marco Locatelli and published by SIAM. This book was released on 2013-10-16 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains a thorough overview of the rapidly growing field of global optimization, with chapters on key topics such as complexity, heuristic methods, derivation of lower bounds for minimization problems, and branch-and-bound methods and convergence. The final chapter offers both benchmark test problems and applications of global optimization, such as finding the conformation of a molecule or planning an optimal trajectory for interplanetary space travel. An appendix provides fundamental information on convex and concave functions. Intended for Ph.D. students, researchers, and practitioners looking for advanced solution methods to difficult optimization problems. It can be used as a supplementary text in an advanced graduate-level seminar.

Special issue on global optimization

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Publisher :
ISBN 13 :
Total Pages : 166 pages
Book Rating : 4.:/5 (354 download)

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Book Synopsis Special issue on global optimization by :

Download or read book Special issue on global optimization written by and published by . This book was released on 1990 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Special Issue: Nonconvex Optimization in Control

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Publisher :
ISBN 13 :
Total Pages : 231 pages
Book Rating : 4.:/5 (249 download)

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Book Synopsis Special Issue: Nonconvex Optimization in Control by : Kok Lay Teo

Download or read book Special Issue: Nonconvex Optimization in Control written by Kok Lay Teo and published by . This book was released on 2002 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Global Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 1461520258
Total Pages : 891 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Handbook of Global Optimization by : R. Horst

Download or read book Handbook of Global Optimization written by R. Horst and published by Springer Science & Business Media. This book was released on 2013-12-11 with total page 891 pages. Available in PDF, EPUB and Kindle. Book excerpt: Global optimization is concerned with the computation and characterization of global optima of nonlinear functions. During the past three decades the field of global optimization has been growing at a rapid pace, and the number of publications on all aspects of global optimization has been increasing steadily. Many applications, as well as new theoretical, algorithmic, and computational contributions have resulted. 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. The Handbook of Global Optimization is addressed to researchers in mathematical programming, as well as all scientists who use optimization methods to model and solve problems.

Nonlinear Optimization

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Publisher : Princeton University Press
ISBN 13 : 1400841054
Total Pages : 463 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Nonlinear Optimization by : Andrzej Ruszczynski

Download or read book Nonlinear Optimization written by Andrzej Ruszczynski and published by Princeton University Press. This book was released on 2011-09-19 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization is one of the most important areas of modern applied mathematics, with applications in fields from engineering and economics to finance, statistics, management science, and medicine. While many books have addressed its various aspects, Nonlinear Optimization is the first comprehensive treatment that will allow graduate students and researchers to understand its modern ideas, principles, and methods within a reasonable time, but without sacrificing mathematical precision. Andrzej Ruszczynski, a leading expert in the optimization of nonlinear stochastic systems, integrates the theory and the methods of nonlinear optimization in a unified, clear, and mathematically rigorous fashion, with detailed and easy-to-follow proofs illustrated by numerous examples and figures. The book covers convex analysis, the theory of optimality conditions, duality theory, and numerical methods for solving unconstrained and constrained optimization problems. It addresses not only classical material but also modern topics such as optimality conditions and numerical methods for problems involving nondifferentiable functions, semidefinite programming, metric regularity and stability theory of set-constrained systems, and sensitivity analysis of optimization problems. Based on a decade's worth of notes the author compiled in successfully teaching the subject, this book will help readers to understand the mathematical foundations of the modern theory and methods of nonlinear optimization and to analyze new problems, develop optimality theory for them, and choose or construct numerical solution methods. It is a must for anyone seriously interested in optimization.

Abstract Convexity and Global Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 9780792363231
Total Pages : 516 pages
Book Rating : 4.3/5 (632 download)

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Book Synopsis Abstract Convexity and Global Optimization by : Alexander M. Rubinov

Download or read book Abstract Convexity and Global Optimization written by Alexander M. Rubinov and published by Springer Science & Business Media. This book was released on 2000-05-31 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of two parts. Firstly, the main notions of abstract convexity and their applications in the study of some classes of functions and sets are presented. Secondly, both theoretical and numerical aspects of global optimization based on abstract convexity are examined. Most of the book does not require knowledge of advanced mathematics. Classical methods of nonconvex mathematical programming, being based on a local approximation, cannot be used to examine and solve many problems of global optimization, and so there is a clear need to develop special global tools for solving these problems. Some of these tools are based on abstract convexity, that is, on the representation of a function of a rather complicated nature as the upper envelope of a set of fairly simple functions. Audience: The book will be of interest to specialists in global optimization, mathematical programming, and convex analysis, as well as engineers using mathematical tools and optimization techniques and specialists in mathematical modelling.

Special Issue: Multilevel Optimization ; Algorithms and Applications

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Publisher :
ISBN 13 :
Total Pages : 115 pages
Book Rating : 4.:/5 (255 download)

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Book Synopsis Special Issue: Multilevel Optimization ; Algorithms and Applications by : Athanasia Karakitsiou

Download or read book Special Issue: Multilevel Optimization ; Algorithms and Applications written by Athanasia Karakitsiou and published by . This book was released on 2007 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Nonlinear and Global Optimization

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Publisher : Springer
ISBN 13 : 9780387889245
Total Pages : 208 pages
Book Rating : 4.8/5 (892 download)

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Book Synopsis Introduction to Nonlinear and Global Optimization by : Eligius M.T. Hendrix

Download or read book Introduction to Nonlinear and Global Optimization written by Eligius M.T. Hendrix and published by Springer. This book was released on 2008-11-01 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This self-contained text provides a solid introduction to global and nonlinear optimization, providing students of mathematics and interdisciplinary sciences with a strong foundation in applied optimization techniques. The book offers a unique hands-on and critical approach to applied optimization which includes the presentation of numerous algorithms, examples, and illustrations, designed to improve the reader’s intuition and develop the analytical skills needed to identify optimization problems, classify the structure of a model, and determine whether a solution fulfills optimality conditions.