Mathematical Optimization Terminology

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Publisher : Academic Press
ISBN 13 : 0128052953
Total Pages : 338 pages
Book Rating : 4.52/5 ( download)

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Book Synopsis Mathematical Optimization Terminology by : Andre A. Keller

Download or read book Mathematical Optimization Terminology written by Andre A. Keller and published by Academic Press. This book was released on 2017-11-10 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Optimization Terminology: A Comprehensive Glossary of Terms is a practical book with the essential formulations, illustrative examples, real-world applications and main references on the topic. This book helps readers gain a more practical understanding of optimization, enabling them to apply it to their algorithms. This book also addresses the need for a practical publication that introduces these concepts and techniques. Discusses real-world applications of optimization and how it can be used in algorithms Explains the essential formulations of optimization in mathematics Covers a more practical approach to optimization

Mathematical Optimization Terminology

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Publisher : Arcler Press
ISBN 13 : 9781774071458
Total Pages : 0 pages
Book Rating : 4.52/5 ( download)

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Book Synopsis Mathematical Optimization Terminology by : Olga Moreira

Download or read book Mathematical Optimization Terminology written by Olga Moreira and published by Arcler Press. This book was released on 2019-11 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Optimization Terminology takes into account multi-objective method considering the problems related to optimization in case of power distribution systems. It includes a short survey on model-based evolutionary algorithms and study on parameter optimization for support vector regression. This book also discusses about gradient-based cuckoo search for global optimization, a hybrid cuckoo search algorithm, extraction methods for uncertain inference rules by ant colony optimization, a benchmark test suite for evolutionary many-objective optimization, a hybrid SA-MFO algorithm for function optimization and engineering design problems and social group optimization (SGO).

Trends in Mathematical Optimization

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Publisher : Birkhäuser
ISBN 13 : 3034892977
Total Pages : 376 pages
Book Rating : 4.71/5 ( download)

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Book Synopsis Trends in Mathematical Optimization by : K.H. Hoffmann

Download or read book Trends in Mathematical Optimization written by K.H. Hoffmann and published by Birkhäuser. This book was released on 2013-03-07 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains a collection of 23 papers presented at the 4th French-German Conference on Optimization, hold at Irsee, April 21 - 26, 1986. The conference was aUended by ninety scientists: about one third from France, from Germany and from third countries each. They all contributed to a highly interesting and stimulating meeting. The scientifique program consisted of four survey lectures of a more tutorical character and of 61 contributed papers covering almost all areas of optimization. In addition two informal evening sessions and a plenary discussion on further developments of optimization theory were organized. One of the main aims of the organizers was to indicate and to stress the increasing importance of optimization methods for almost all areas of science and for a fast growing number of industry branches. We hope that the conference approached this goal in a certain degree and managed to continue fruitful discussions between -theory and -applications-. Equally important to the official contributions and lectures is the -nonmeasurable part of activities inherent in such a scientific meeting. Here the charming and inspiring atmosphere of a place like Irsee helped to establish numerous new contacts between the participants and to deepen already existing ones. The conference was sponsored by the Bayerische Kultusministerium, the Deutsche Forschungsgemeinschaft and the Universities of Augsburg and Bayreuth. Their interest in the meeting and their assistance is gratefully acknowledged. We would like to thank the authors for their contributions and the referees for their helpful comments.

Practical Mathematical Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 9780387243481
Total Pages : 282 pages
Book Rating : 4.88/5 ( download)

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Book Synopsis Practical Mathematical Optimization by : Jan Snyman

Download or read book Practical Mathematical Optimization written by Jan Snyman and published by Springer Science & Business Media. This book was released on 2005-03-03 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form. It enables professionals to apply optimization theory to engineering, physics, chemistry, or business economics.

Introduction to Optimization Methods

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Publisher : Springer Science & Business Media
ISBN 13 : 940095705X
Total Pages : 214 pages
Book Rating : 4.53/5 ( download)

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Book Synopsis Introduction to Optimization Methods by : P. Adby

Download or read book Introduction to Optimization Methods written by P. Adby and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the last decade the techniques of non-linear optim ization have emerged as an important subject for study and research. The increasingly widespread application of optim ization has been stimulated by the availability of digital computers, and the necessity of using them in the investigation of large systems. This book is an introduction to non-linear methods of optimization and is suitable for undergraduate and post graduate courses in mathematics, the physical and social sciences, and engineering. The first half of the book covers the basic optimization techniques including linear search methods, steepest descent, least squares, and the Newton-Raphson method. These are described in detail, with worked numerical examples, since they form the basis from which advanced methods are derived. Since 1965 advanced methods of unconstrained and constrained optimization have been developed to utilise the computational power of the digital computer. The second half of the book describes fully important algorithms in current use such as variable metric methods for unconstrained problems and penalty function methods for constrained problems. Recent work, much of which has not yet been widely applied, is reviewed and compared with currently popular techniques under a few generic main headings. vi PREFACE Chapter I describes the optimization problem in mathemat ical form and defines the terminology used in the remainder of the book. Chapter 2 is concerned with single variable optimization. The main algorithms of both search and approximation methods are developed in detail since they are an essential part of many multi-variable methods.

Mathematics of Optimization: Smooth and Nonsmooth Case

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Publisher : Elsevier
ISBN 13 : 008053595X
Total Pages : 614 pages
Book Rating : 4.51/5 ( download)

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Book Synopsis Mathematics of Optimization: Smooth and Nonsmooth Case by : Giorgio Giorgi

Download or read book Mathematics of Optimization: Smooth and Nonsmooth Case written by Giorgio Giorgi and published by Elsevier. This book was released on 2004-03-10 with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is intended for people (graduates, researchers, but also undergraduates with a good mathematical background) involved in the study of (static) optimization problems (in finite-dimensional spaces). It contains a lot of material, from basic tools of convex analysis to optimality conditions for smooth optimization problems, for non smooth optimization problems and for vector optimization problems. The development of the subjects are self-contained and the bibliographical references are usually treated in different books (only a few books on optimization theory deal also with vector problems), so the book can be a starting point for further readings in a more specialized literature. Assuming only a good (even if not advanced) knowledge of mathematical analysis and linear algebra, this book presents various aspects of the mathematical theory in optimization problems. The treatment is performed in finite-dimensional spaces and with no regard to algorithmic questions. After two chapters concerning, respectively, introductory subjects and basic tools and concepts of convex analysis, the book treats extensively mathematical programming problems in the smmoth case, in the nonsmooth case and finally vector optimization problems. · Self-contained · Clear style and results are either proved or stated precisely with adequate references · The authors have several years experience in this field · Several subjects (some of them non usual in books of this kind) in one single book, including nonsmooth optimization and vector optimization problems · Useful long references list at the end of each chapter

Modern Mathematical Methods of Optimization

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Publisher : Wiley-VCH
ISBN 13 :
Total Pages : 424 pages
Book Rating : 4.84/5 ( download)

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Book Synopsis Modern Mathematical Methods of Optimization by : Karl-Heinz Elster

Download or read book Modern Mathematical Methods of Optimization written by Karl-Heinz Elster and published by Wiley-VCH. This book was released on 1993-11 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Light will be thrown on a variety of problems concerned with the construction and analysis of optimization models: equilibrium models of mathematical economy, modern numerical optimization methods and software, methods of convex programming optimal with respect to complexity, polynomial algorithms of linear programming, decomposition of optimization systems, modern apparatus of nonsmooth optimization, models and methods of discrete programming.

Practical Mathematical Optimization

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Publisher : Springer
ISBN 13 : 3319775863
Total Pages : 372 pages
Book Rating : 4.69/5 ( download)

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Book Synopsis Practical Mathematical Optimization by : Jan A Snyman

Download or read book Practical Mathematical Optimization written by Jan A Snyman and published by Springer. This book was released on 2018-05-02 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form. It enables professionals to apply optimization theory to engineering, physics, chemistry, or business economics.

Mathematical Optimization Techniques

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Publisher : Univ of California Press
ISBN 13 : 0520319869
Total Pages : 362 pages
Book Rating : 4.68/5 ( download)

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Book Synopsis Mathematical Optimization Techniques by : Richard Bellman

Download or read book Mathematical Optimization Techniques written by Richard Bellman and published by Univ of California Press. This book was released on 2022-05-27 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1963.

Classical And Modern Optimization

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Publisher : World Scientific
ISBN 13 : 180061067X
Total Pages : 388 pages
Book Rating : 4.75/5 ( download)

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Book Synopsis Classical And Modern Optimization by : Guillaume Carlier

Download or read book Classical And Modern Optimization written by Guillaume Carlier and published by World Scientific. This book was released on 2022-03-16 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quest for the optimal is ubiquitous in nature and human behavior. The field of mathematical optimization has a long history and remains active today, particularly in the development of machine learning.Classical and Modern Optimization presents a self-contained overview of classical and modern ideas and methods in approaching optimization problems. The approach is rich and flexible enough to address smooth and non-smooth, convex and non-convex, finite or infinite-dimensional, static or dynamic situations. The first chapters of the book are devoted to the classical toolbox: topology and functional analysis, differential calculus, convex analysis and necessary conditions for differentiable constrained optimization. The remaining chapters are dedicated to more specialized topics and applications.Valuable to a wide audience, including students in mathematics, engineers, data scientists or economists, Classical and Modern Optimization contains more than 200 exercises to assist with self-study or for anyone teaching a third- or fourth-year optimization class.