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Linear Optimization And Extensions


Linear Optimization And Extensions
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Linear Optimization And Extensions


Linear Optimization And Extensions
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Author : Manfred Padberg
language : en
Publisher: Springer
Release Date : 2010-12-15

Linear Optimization And Extensions written by Manfred Padberg and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-15 with Mathematics categories.


From the reviews: "Do you know M.Padberg's Linear Optimization and Extensions? [...] Now here is the continuation of it, discussing the solutions of all its exercises and with detailed analysis of the applications mentioned. Tell your students about it. [...] For those who strive for good exercises and case studies for LP this is an excellent volume." Acta Scientiarum Mathematicarum



Linear Optimization And Extensions


Linear Optimization And Extensions
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Author : Dimitris Alevras
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-06-11

Linear Optimization And Extensions written by Dimitris Alevras 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 2001-06-11 with Business & Economics categories.


This book offers a comprehensive treatment of the exercises and case studies as well as summaries of the chapters of the book "Linear Optimization and Extensions" by Manfred Padberg. It covers the areas of linear programming and the optimization of linear functions over polyhedra in finite dimensional Euclidean vector spaces. Here are the main topics treated in the book: Simplex algorithms and their derivatives including the duality theory of linear programming. Polyhedral theory, pointwise and linear descriptions of polyhedra, double description algorithms, Gaussian elimination with and without division, the complexity of simplex steps. Projective algorithms, the geometry of projective algorithms, Newtonian barrier methods. Ellipsoids algorithms in perfect and in finite precision arithmetic, the equivalence of linear optimization and polyhedral separation. The foundations of mixed-integer programming and combinatorial optimization.



Introduction To Linear Optimization And Extensions With Matlab


Introduction To Linear Optimization And Extensions With Matlab
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Author : Roy H. Kwon
language : en
Publisher: CRC Press
Release Date : 2013-09-05

Introduction To Linear Optimization And Extensions With Matlab written by Roy H. Kwon and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-05 with Business & Economics categories.


Filling the need for an introductory book on linear programming that discusses the important ways to mitigate parameter uncertainty, Introduction to Linear Optimization and Extensions with MATLAB provides a concrete and intuitive yet rigorous introduction to modern linear optimization. In addition to fundamental topics, the book discusses current l



Linear Programming And Extensions


Linear Programming And Extensions
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Author : George Bernard Dantzig
language : en
Publisher: Princeton University Press
Release Date : 1998

Linear Programming And Extensions written by George Bernard Dantzig and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Business & Economics categories.


In real-world problems related to finance, business, and management, mathematicians and economists frequently encounter optimization problems. First published in 1963, this classic work looks at a wealth of examples and develops linear programming methods for solutions. Treatments covered include price concepts, transportation problems, matrix methods, and the properties of convex sets and linear vector spaces.



Linear Optimization And Extensions


Linear Optimization And Extensions
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Author : M. W. Padberg
language : en
Publisher: Springer Science & Business Media
Release Date : 1999-06-18

Linear Optimization And Extensions written by M. W. Padberg 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 1999-06-18 with Business & Economics categories.


From the reviews: "Do you know M.Padberg's Linear Optimization and Extensions? [...] Now here is the continuation of it, discussing the solutions of all its exercises and with detailed analysis of the applications mentioned. Tell your students about it. [...] For those who strive for good exercises and case studies for LP this is an excellent volume." Acta Scientiarum Mathematicarum



Linear Optimization And Extensions


Linear Optimization And Extensions
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Author : Shu-Cherng Fang
language : en
Publisher:
Release Date : 1993

Linear Optimization And Extensions written by Shu-Cherng Fang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Computers categories.




Linear Programming And Extensions


Linear Programming And Extensions
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Author : George B. Dantzig
language : en
Publisher: Princeton University Press
Release Date : 2016-08-10

Linear Programming And Extensions written by George B. Dantzig and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-10 with Mathematics categories.


The influential book that established the mathematical discipline of linear programming In the worlds of finance, business, and management, mathematicians and economists frequently encounter problems of optimization. In this classic book, George Dantzig shows how the methods of linear programming can provide solutions. Drawing on a wealth of examples, he introduces the basic theory of linear inequalities and describes the powerful simplex method used to solve them. He discusses the price concept, the transportation problem, and matrix methods, and covers key mathematical concepts such as the properties of convex sets and linear vector spaces. Dantzig demonstrates how linear programming can be applied to a host of optimization problems, from minimizing traffic congestion to maximizing the scheduling of airline flights. An invaluable resource for students and practitioners alike, Linear Programming and Extensions is an extraordinary account of the development and uses of this versatile mathematical technique, blending foundational research in mathematical theory with computation, economic analysis, and applications to industrial problems.



Linear Optimization And Extensions Problems And Solutions


Linear Optimization And Extensions Problems And Solutions
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Author : Alevras
language : en
Publisher:
Release Date : 2009-12-01

Linear Optimization And Extensions Problems And Solutions written by Alevras and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-01 with Extensions categories.


This book offers a comprehensive treatment of the exercises and case studies as well as summaries of the chapters of the book "Linear optimization and extension" by manfred padberg, together with several new exercises and minicases with their solutions. It covers the areas of linear programming and the optimization of linear functions over polyhedra in finite dimensional euclidean vector spaces.



Introduction To Linear Optimization And Extensions With Matlab


Introduction To Linear Optimization And Extensions With Matlab
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Author : Roy H. Kwon
language : en
Publisher: CRC Press
Release Date : 2013-09-05

Introduction To Linear Optimization And Extensions With Matlab written by Roy H. Kwon and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-05 with Business & Economics categories.


Filling the need for an introductory book on linear programming that discusses the important ways to mitigate parameter uncertainty, Introduction to Linear Optimization and Extensions with MATLAB® provides a concrete and intuitive yet rigorous introduction to modern linear optimization. In addition to fundamental topics, the book discusses current linear optimization technologies such as predictor-path following interior point methods for both linear and quadratic optimization as well as the inclusion of linear optimization of uncertainty i.e. stochastic programming with recourse and robust optimization. The author introduces both stochastic programming and robust optimization as frameworks to deal with parameter uncertainty. The author’s unusual approach—developing these topics in an introductory book—highlights their importance. Since most applications require decisions to be made in the face of uncertainty, the early introduction of these topics facilitates decision making in real world environments. The author also includes applications and case studies from finance and supply chain management that involve the use of MATLAB. Even though there are several LP texts in the marketplace, most do not cover data uncertainty using stochastic programming and robust optimization techniques. Most emphasize the use of MS Excel, while this book uses MATLAB which is the primary tool of many engineers, including financial engineers. The book focuses on state-of-the-art methods for dealing with parameter uncertainty in linear programming, rigorously developing theory and methods. But more importantly, the author’s meticulous attention to developing intuition before presenting theory makes the material come alive.



Linear Programming


Linear Programming
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Author : Robert J Vanderbei
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29

Linear Programming written by Robert J Vanderbei 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 2013-06-29 with Business & Economics categories.


Linear Programming: Foundations and Extensions is an introduction to the field of optimization. The book emphasizes constrained optimization, beginning with a substantial treatment of linear programming, and proceeding to convex analysis, network flows, integer programming, quadratic programming, and convex optimization. The book is carefully written. Specific examples and concrete algorithms precede more abstract topics. Topics are clearly developed with a large number of numerical examples worked out in detail. Moreover, Linear Programming: Foundations and Extensions underscores the purpose of optimization: to solve practical problems on a computer. Accordingly, the book is coordinated with free efficient C programs that implement the major algorithms studied: -The two-phase simplex method; -The primal-dual simplex method; -The path-following interior-point method; -The homogeneous self-dual methods. In addition, there are online JAVA applets that illustrate various pivot rules and variants of the simplex method, both for linear programming and for network flows. These C programs and JAVA tools can be found on the book's webpage: http://www.princeton.edu/-rvdb/LPbook/. Also, check the book's webpage for new online instructional tools and exercises that have been added in the new edition.