On the Complexity of Some Primal-dual Linear Programming Pairs

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ISBN 13 :
Total Pages : 174 pages
Book Rating : 4.:/5 (7 download)

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Book Synopsis On the Complexity of Some Primal-dual Linear Programming Pairs by : Steven Thomas Cosares

Download or read book On the Complexity of Some Primal-dual Linear Programming Pairs written by Steven Thomas Cosares and published by . This book was released on 1988 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Primal-Dual Interior-Point Methods

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Publisher : SIAM
ISBN 13 : 089871382X
Total Pages : 293 pages
Book Rating : 4.8/5 (987 download)

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Book Synopsis Primal-Dual Interior-Point Methods by : Stephen J. Wright

Download or read book Primal-Dual Interior-Point Methods written by Stephen J. Wright and published by SIAM. This book was released on 1997-01-01 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the major primal-dual algorithms for linear programming. A thorough, straightforward description of the theoretical properties of these methods.

Self-Regularity

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Publisher : Princeton University Press
ISBN 13 : 140082513X
Total Pages : 201 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Self-Regularity by : Jiming Peng

Download or read book Self-Regularity written by Jiming Peng and published by Princeton University Press. This book was released on 2009-01-10 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on interior-point methods (IPMs) has dominated the field of mathematical programming for the last two decades. Two contrasting approaches in the analysis and implementation of IPMs are the so-called small-update and large-update methods, although, until now, there has been a notorious gap between the theory and practical performance of these two strategies. This book comes close to bridging that gap, presenting a new framework for the theory of primal-dual IPMs based on the notion of the self-regularity of a function. The authors deal with linear optimization, nonlinear complementarity problems, semidefinite optimization, and second-order conic optimization problems. The framework also covers large classes of linear complementarity problems and convex optimization. The algorithm considered can be interpreted as a path-following method or a potential reduction method. Starting from a primal-dual strictly feasible point, the algorithm chooses a search direction defined by some Newton-type system derived from the self-regular proximity. The iterate is then updated, with the iterates staying in a certain neighborhood of the central path until an approximate solution to the problem is found. By extensively exploring some intriguing properties of self-regular functions, the authors establish that the complexity of large-update IPMs can come arbitrarily close to the best known iteration bounds of IPMs. Researchers and postgraduate students in all areas of linear and nonlinear optimization will find this book an important and invaluable aid to their work.

Linear Optimization and Duality

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Publisher : CRC Press
ISBN 13 : 1351643487
Total Pages : 622 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Linear Optimization and Duality by : Craig A. Tovey

Download or read book Linear Optimization and Duality written by Craig A. Tovey and published by CRC Press. This book was released on 2020-12-16 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: Linear Optimization and Dualiyy: A Modern Exposition departs from convention in significant ways. Standard linear programming textbooks present the material in the order in which it was discovered. Duality is treated as a difficult add-on after coverage of formulation, the simplex method, and polyhedral theory. Students end up without knowing duality in their bones. This text brings in duality in Chapter 1 and carries duality all the way through the exposition. Chapter 1 gives a general definition of duality that shows the dual aspects of a matrix as a column of rows and a row of columns. The proof of weak duality in Chapter 2 is shown via the Lagrangian, which relies on matrix duality. The first three LP formulation examples in Chapter 3 are classic primal-dual pairs including the diet problem and 2-person zero sum games. For many engineering students, optimization is their first immersion in rigorous mathematics. Conventional texts assume a level of mathematical sophistication they don’t have. This text embeds dozens of reading tips and hundreds of answered questions to guide such students. Features Emphasis on duality throughout Practical tips for modeling and computation Coverage of computational complexity and data structures Exercises and problems based on the learning theory concept of the zone of proximal development Guidance for the mathematically unsophisticated reader About the Author Craig A. Tovey is a professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. Dr. Tovey received an AB from Harvard College, an MS in computer science and a PhD in operations research from Stanford University. His principal activities are in operations research and its interdisciplinary applications. He received a Presidential Young Investigator Award and the Jacob Wolfowitz Prize for research in heuristics. He was named an Institute Fellow at Georgia Tech, and was recognized by the ACM Special Interest Group on Electronic Commerce with the Test of Time Award. Dr. Tovey received the 2016 Golden Goose Award for his research on bee foraging behavior leading to the development of the Honey Bee Algorithm.

Complexity and Approximation

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Publisher : Springer Science & Business Media
ISBN 13 : 3642584128
Total Pages : 536 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Complexity and Approximation by : Giorgio Ausiello

Download or read book Complexity and Approximation written by Giorgio Ausiello and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book documents the state of the art in combinatorial optimization, presenting approximate solutions of virtually all relevant classes of NP-hard optimization problems. The wealth of problems, algorithms, results, and techniques make it an indispensible source of reference for professionals. The text smoothly integrates numerous illustrations, examples, and exercises.

An Evaluation of the Primal-dual Algorithm for Linear Programming

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Publisher :
ISBN 13 :
Total Pages : 230 pages
Book Rating : 4.:/5 (328 download)

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Book Synopsis An Evaluation of the Primal-dual Algorithm for Linear Programming by : Richard Gwyn Mills

Download or read book An Evaluation of the Primal-dual Algorithm for Linear Programming written by Richard Gwyn Mills and published by . This book was released on 1960 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Design of Competitive Online Algorithms Via a Primal-Dual Approach

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Publisher : Now Publishers Inc
ISBN 13 : 160198216X
Total Pages : 190 pages
Book Rating : 4.6/5 (19 download)

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Book Synopsis The Design of Competitive Online Algorithms Via a Primal-Dual Approach by : Niv Buchbinder

Download or read book The Design of Competitive Online Algorithms Via a Primal-Dual Approach written by Niv Buchbinder and published by Now Publishers Inc. This book was released on 2009 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extends the primal-dual method to the setting of online algorithms, and shows its applicability to a wide variety of fundamental problems.

Combinatorial and Algorithmic Mathematics

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Publisher : John Wiley & Sons
ISBN 13 : 1394235941
Total Pages : 533 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Combinatorial and Algorithmic Mathematics by : Baha Alzalg

Download or read book Combinatorial and Algorithmic Mathematics written by Baha Alzalg and published by John Wiley & Sons. This book was released on 2024-10-21 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detailed review of optimization from first principles, supported by rigorous math and computer science explanations and various learning aids Supported by rigorous math and computer science foundations, Combinatorial and Algorithmic Mathematics: From Foundation to Optimization provides a from-scratch understanding to the field of optimization, discussing 70 algorithms with roughly 220 illustrative examples, 160 nontrivial end-of-chapter exercises with complete solutions to ensure readers can apply appropriate theories, principles, and concepts when required, and Matlab codes that solve some specific problems. This book helps readers to develop mathematical maturity, including skills such as handling increasingly abstract ideas, recognizing mathematical patterns, and generalizing from specific examples to broad concepts. Starting from first principles of mathematical logic, set-theoretic structures, and analytic and algebraic structures, this book covers both combinatorics and algorithms in separate sections, then brings the material together in a final section on optimization. This book focuses on topics essential for anyone wanting to develop and apply their understanding of optimization to areas such as data structures, algorithms, artificial intelligence, machine learning, data science, computer systems, networks, and computer security. Combinatorial and Algorithmic Mathematics includes discussion on: Propositional logic and predicate logic, set-theoretic structures such as sets, relations, and functions, and basic analytic and algebraic structures such as sequences, series, subspaces, convex structures, and polyhedra Recurrence-solving techniques, counting methods, permutations, combinations, arrangements of objects and sets, and graph basics and properties Asymptotic notations, techniques for analyzing algorithms, and computational complexity of various algorithms Linear optimization and its geometry and duality, simplex and non-simplex algorithms for linear optimization, second-order cone programming, and semidefinite programming Combinatorial and Algorithmic Mathematics is an ideal textbook resource on the subject for students studying discrete structures, combinatorics, algorithms, and optimization. It also caters to scientists across diverse disciplines that incorporate algorithms and academics and researchers who wish to better understand some modern optimization methodologies.

Real Algebraic Geometry and Optimization

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Publisher : American Mathematical Society
ISBN 13 : 147047431X
Total Pages : 312 pages
Book Rating : 4.4/5 (74 download)

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Book Synopsis Real Algebraic Geometry and Optimization by : Thorsten Theobald

Download or read book Real Algebraic Geometry and Optimization written by Thorsten Theobald and published by American Mathematical Society. This book was released on 2024-04-17 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive and user-friendly exploration of the tremendous recent developments that reveal the connections between real algebraic geometry and optimization, two subjects that were usually taught separately until the beginning of the 21st century. Real algebraic geometry studies the solutions of polynomial equations and polynomial inequalities over the real numbers. Real algebraic problems arise in many applications, including science and engineering, computer vision, robotics, and game theory. Optimization is concerned with minimizing or maximizing a given objective function over a feasible set. Presenting key ideas from classical and modern concepts in real algebraic geometry, this book develops related convex optimization techniques for polynomial optimization. The connection to optimization invites a computational view on real algebraic geometry and opens doors to applications. Intended as an introduction for students of mathematics or related fields at an advanced undergraduate or graduate level, this book serves as a valuable resource for researchers and practitioners. Each chapter is complemented by a collection of beneficial exercises, notes on references, and further reading. As a prerequisite, only some undergraduate algebra is required.

Combinatorial Algorithms for Optimization Problems

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ISBN 13 :
Total Pages : 348 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Combinatorial Algorithms for Optimization Problems by : Edith Cohen

Download or read book Combinatorial Algorithms for Optimization Problems written by Edith Cohen and published by . This book was released on 1991 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: We introduce algorithms for solving linear systems where each inequality involves at most two variables. These algorithms improve over the sequential and parallel running times of previous algorithms. These results are combined with additional ideas to yield faster algorithms for some generalized network flow problems."

The Primal-dual Algorithm for Linear Programming

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Publisher :
ISBN 13 :
Total Pages : 96 pages
Book Rating : 4.:/5 (322 download)

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Book Synopsis The Primal-dual Algorithm for Linear Programming by : Thomas Francis Wagner

Download or read book The Primal-dual Algorithm for Linear Programming written by Thomas Francis Wagner and published by . This book was released on 1957 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Primal-dual Interior Point Algorithms for Linear Programming and the Linear Complementarity Problem

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Publisher :
ISBN 13 :
Total Pages : 324 pages
Book Rating : 4.E/5 ( download)

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Book Synopsis Primal-dual Interior Point Algorithms for Linear Programming and the Linear Complementarity Problem by : Kevin Anthony McShane

Download or read book Primal-dual Interior Point Algorithms for Linear Programming and the Linear Complementarity Problem written by Kevin Anthony McShane and published by . This book was released on 1992 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Algebraic and Geometric Ideas in the Theory of Discrete Optimization

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Publisher : SIAM
ISBN 13 : 1611972434
Total Pages : 320 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis Algebraic and Geometric Ideas in the Theory of Discrete Optimization by : Jesus A. De Loera

Download or read book Algebraic and Geometric Ideas in the Theory of Discrete Optimization written by Jesus A. De Loera and published by SIAM. This book was released on 2013-01-31 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, many new techniques have emerged in the mathematical theory of discrete optimization that have proven to be effective in solving a number of hard problems. This book presents these recent advances, particularly those that arise from algebraic geometry, commutative algebra, convex and discrete geometry, generating functions, and other tools normally considered outside of the standard curriculum in optimization. These new techniques, all of which are presented with minimal prerequisites, provide a transition from linear to nonlinear discrete optimization. This book can be used as a textbook for advanced undergraduates or first-year graduate students in mathematics, computer science or operations research. It is also appropriate for mathematicians, engineers, and scientists engaged in computation who wish to gain a deeper understanding of how and why algorithms work.

Linear Programming: Mathematics, Theory and Algorithms

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Publisher : Springer Science & Business Media
ISBN 13 : 1461334349
Total Pages : 502 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Linear Programming: Mathematics, Theory and Algorithms by : M.J. Panik

Download or read book Linear Programming: Mathematics, Theory and Algorithms written by M.J. Panik and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: Linear Programming provides an in-depth look at simplex based as well as the more recent interior point techniques for solving linear programming problems. Starting with a review of the mathematical underpinnings of these approaches, the text provides details of the primal and dual simplex methods with the primal-dual, composite, and steepest edge simplex algorithms. This then is followed by a discussion of interior point techniques, including projective and affine potential reduction, primal and dual affine scaling, and path following algorithms. Also covered is the theory and solution of the linear complementarity problem using both the complementary pivot algorithm and interior point routines. A feature of the book is its early and extensive development and use of duality theory. Audience: The book is written for students in the areas of mathematics, economics, engineering and management science, and professionals who need a sound foundation in the important and dynamic discipline of linear programming.

Numerical Analysis 1993

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Publisher : CRC Press
ISBN 13 : 1000115259
Total Pages : 290 pages
Book Rating : 4.0/5 (1 download)

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Book Synopsis Numerical Analysis 1993 by : D.F. Griffiths

Download or read book Numerical Analysis 1993 written by D.F. Griffiths and published by CRC Press. This book was released on 2020-10-07 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains invited papers presented at the 15th Dundee Biennial Conference on Numerical Analysis held at the University of Dundee in June of 1993. The Dundee Conferences are important events in the numerical analysis calendar, and the papers published here represent accounts of recent research work by leading numerical analysts covering a wide range of fields of interest. The book is a valuable guide to the direction of current research in many areas of numerical analysis. It will be of particular interest to graduate students and research workers concerned with the theory and application of numerical methods for solving ordinary and partial differential equations.

Linear Optimization and Extensions

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Publisher : Springer Science & Business Media
ISBN 13 : 3642566286
Total Pages : 451 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Linear Optimization and Extensions by : Dimitris Alevras

Download or read book Linear Optimization and Extensions written by Dimitris Alevras and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: Books on a technical topic - like linear programming - without exercises ignore the principal beneficiary of the endeavor of writing a book, namely the student - who learns best by doing course. Books with exercises - if they are challenging or at least to some extent so exercises, of - need a solutions manual so that students can have recourse to it when they need it. Here we give solutions to all exercises and case studies of M. Padberg's Linear Optimization and Exten sions (second edition, Springer-Verlag, Berlin, 1999). In addition we have included several new exercises and taken the opportunity to correct and change some of the exercises of the book. Here and in the main text of the present volume the terms "book", "text" etc. designate the second edition of Padberg's LPbook and the page and formula references refer to that edition as well. All new and changed exercises are marked by a star * in this volume. The changes that we have made in the original exercises are inconsequential for the main part of the original text where several ofthe exercises (especiallyin Chapter 9) are used on several occasions in the proof arguments. None of the exercises that are used in the estimations, etc. have been changed.

Linear Optimization and Extensions

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Publisher : Springer Science & Business Media
ISBN 13 : 3662122731
Total Pages : 521 pages
Book Rating : 4.6/5 (621 download)

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Book Synopsis Linear Optimization and Extensions by : Manfred Padberg

Download or read book Linear Optimization and Extensions written by Manfred Padberg and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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