Mathematical Programming In Use

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Mathematical Programming In Use

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Author : M. L. Balinski
language : en
Publisher: North-Holland
Release Date : 1978

Mathematical Programming In Use written by M. L. Balinski and has been published by North-Holland this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with Mathematics categories.

Mathematical Programming Study

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Author : M. L. Balinski
language : en
Publisher:
Release Date : 1978

Mathematical Programming Study written by M. L. Balinski and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with categories.

Managerial Use Of A Mathematical Programming Model

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Author : Karam S. Birdi
language : en
Publisher:
Release Date : 1975

Managerial Use Of A Mathematical Programming Model written by Karam S. Birdi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with categories.

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Author : 国立国会図書館 (Japan)
language : en
Publisher:
Release Date : 1900

written by 国立国会図書館 (Japan) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1900 with Science categories.

Recent Developments In Mathematical Programming

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Author : Santosh Kumar
language : en
Publisher: CRC Press
Release Date : 1991

Recent Developments In Mathematical Programming written by Santosh Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Mathematics categories.

This book is concerned with theoretical developments in the area of mathematical programming including new algorithms (analytic and heuristic) and their applications in science and industry. It exposes recent mathematical developments to a larger audience in science and industry who may not be equipped with the necessary research background and provides good references in many branches of mathematical programming. The text includes research and tutorial papers giving details of use of recent developments in applied areas, as well as review and state-of-the-art papers providing a soruce of references to researchers in this field.

Basic Mathematical Programming Theory

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Author : Giorgio Giorgi
language : en
Publisher: Springer Nature
Release Date : 2023-07-18

Basic Mathematical Programming Theory written by Giorgio Giorgi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-18 with Business & Economics categories.

The subject of (static) optimization, also called mathematical programming, is one of the most important and widespread branches of modern mathematics, serving as a cornerstone of such scientific subjects as economic analysis, operations research, management sciences, engineering, chemistry, physics, statistics, computer science, biology, and social sciences. This book presents a unified, progressive treatment of the basic mathematical tools of mathematical programming theory. The authors expose said tools, along with results concerning the most common mathematical programming problems formulated in a finite-dimensional setting, forming the basis for further study of the basic questions on the various algorithmic methods and the most important particular applications of mathematical programming problems. This book assumes no previous experience in optimization theory, and the treatment of the various topics is largely self-contained. Prerequisites are the basic tools of differential calculus for functions of several variables, the basic notions of topology and of linear algebra, and the basic mathematical notions and theoretical background used in analyzing optimization problems. The book is aimed at both undergraduate and postgraduate students interested in mathematical programming problems but also those professionals who use optimization methods and wish to learn the more theoretical aspects of these questions.

Nonlinear Optimization Applications Using The Gams Technology

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Author : Neculai Andrei
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-22

Nonlinear Optimization Applications Using The Gams Technology written by Neculai Andrei and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-22 with Mathematics categories.

Here is a collection of nonlinear optimization applications from the real world, expressed in the General Algebraic Modeling System (GAMS). The concepts are presented so that the reader can quickly modify and update them to represent real-world situations.

Algorithmic Principles Of Mathematical Programming

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Author : Ulrich Faigle
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17

Algorithmic Principles Of Mathematical Programming written by Ulrich Faigle and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Mathematics categories.

Algorithmic Principles of Mathematical Programming investigates the mathematical structures and principles underlying the design of efficient algorithms for optimization problems. Recent advances in algorithmic theory have shown that the traditionally separate areas of discrete optimization, linear programming, and nonlinear optimization are closely linked. This book offers a comprehensive introduction to the whole subject and leads the reader to the frontiers of current research. The prerequisites to use the book are very elementary. All the tools from numerical linear algebra and calculus are fully reviewed and developed. Rather than attempting to be encyclopedic, the book illustrates the important basic techniques with typical problems. The focus is on efficient algorithms with respect to practical usefulness. Algorithmic complexity theory is presented with the goal of helping the reader understand the concepts without having to become a theoretical specialist. Further theory is outlined and supplemented with pointers to the relevant literature.

Nondifferentiable And Two Level Mathematical Programming

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Author : Kiyotaka Shimizu
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Nondifferentiable And Two Level Mathematical Programming written by Kiyotaka Shimizu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.

The analysis and design of engineering and industrial systems has come to rely heavily on the use of optimization techniques. The theory developed over the last 40 years, coupled with an increasing number of powerful computational procedures, has made it possible to routinely solve problems arising in such diverse fields as aircraft design, material flow, curve fitting, capital expansion, and oil refining just to name a few. Mathematical programming plays a central role in each of these areas and can be considered the primary tool for systems optimization. Limits have been placed on the types of problems that can be solved, though, by the difficulty of handling functions that are not everywhere differentiable. To deal with real applications, it is often necessary to be able to optimize functions that while continuous are not differentiable in the classical sense. As the title of the book indicates, our chief concern is with (i) nondifferentiable mathematical programs, and (ii) two-level optimization problems. In the first half of the book, we study basic theory for general smooth and nonsmooth functions of many variables. After providing some background, we extend traditional (differentiable) nonlinear programming to the nondifferentiable case. The term used for the resultant problem is nondifferentiable mathematical programming. The major focus is on the derivation of optimality conditions for general nondifferentiable nonlinear programs. We introduce the concept of the generalized gradient and derive Kuhn-Tucker-type optimality conditions for the corresponding formulations.

Selected Mathematica Tools For Mathematical Programming

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Author : Derek Holmes
language : en
Publisher:
Release Date : 1993

Selected Mathematica Tools For Mathematical Programming written by Derek Holmes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with categories.