Global Optimization And Constraint Satisfaction
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Global Optimization And Constraint Satisfaction
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Author : Christian Bliek
language : en
Publisher: Springer
Release Date : 2003-10-28
Global Optimization And Constraint Satisfaction written by Christian Bliek and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-10-28 with Mathematics categories.
This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Global Constraints Optimization and Costraint Satisfaction, COCOS 2002, held in Valbonne-Sophia Antipolis, France in October 2002. The 15 revised full papers presented together with 2 invited papers were carefully selected during two rounds of reviewing and improvement. The papers address current issues in global optimization, mathematical programming, and constraint programming; they are grouped in topical sections on optimization, constraint satisfaction, and benchmarking.
Global Optimization And Constraint Satisfaction
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Author : Christophe Jermann
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-05-24
Global Optimization And Constraint Satisfaction written by Christophe Jermann 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 2005-05-24 with Computers categories.
This book constitutes the throughly refereed post-proceedings of the Second International Workshop on Global Optimization and Constraint Satisfaction, COCOS 2003, held in Lausanne, Switzerland in Nowember 2003. The 13 revised full papers presented were carefully selected and went through two rounds of reviewing and improvement. The papers are devoted to theoretical, algorithmic, and application-oriented issues in global constrained optimization and constraint satisfaction; they are organized in topical sections on constraint satisfaction problems, global optimization, and applications.
Global Optimization And Constraint Satisfaction
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Author : Christian Bliek
language : en
Publisher:
Release Date : 2014-01-15
Global Optimization And Constraint Satisfaction written by Christian Bliek and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.
Global Optimization And Constraint Satisfaction
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Author : Christophe Jermann
language : en
Publisher: Springer
Release Date : 2005-05-10
Global Optimization And Constraint Satisfaction written by Christophe Jermann and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-05-10 with Computers categories.
Theformulationofmanypracticalproblemsnaturallyinvolvesconstraintsonthe variables entering the mathematical model of a real-life situation to be analyzed. It is of great interest to ?nd the possible scenarios satisfying all constraints, and, iftherearemanyofthem,eitherto?ndthebestsolution,ortoobtainacompact, explicit representation of the whole feasible set. The 2nd Workshop on Global Constrained Optimization and Constraint S- isfaction, COCOS 2003, which took place during November 18–21, 2003 in L- sanne, Switzerland, was dedicated to theoretical, algorithmic, and application oriented advances in answering these questions. Here global optimization refers to ?nding the absolutely best feasible point, while constraint satisfaction refers to?ndingallpossiblefeasiblepoints.AsinCOCOS2002,the?rstsuchworkshop (see the proceeedings [1]), the emphasis was on complete solving techniques for problems involving continuous variables that provide all solutions with full rigor, and on applications which, however, were allowed to have relaxed standards of rigor. The participants used the opportunity to meet experts from global optimi- tion, mathematical programming, constraint programming, and applications, and to present and discuss ongoing work and new directions in the ?eld. Four invited lectures and 20 contributed talks were presented at the workshop. The invited lectures were given by John Hooker (Logic-Based Methods for Global Optimization), Jean-Pierre Merlet (Usual and Unusual Applications of Interval Analysis), Hermann Schichl (The COCONUT Optimization Environment), and Jorge Mor ́ e (Global Optimization Computational Servers). This volume contains the text of Hooker’s invited lecture and of 12 c- tributed talks. Copies of the slides for most presentations can be found at [2]. Constraintsatisfactionproblems.Threepapersfocusonalgorithmicaspects of constraint satisfaction problems.
Constraint Satisfaction As Global Optimization
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Author : Pedro Meseguer González
language : en
Publisher:
Release Date : 1995
Constraint Satisfaction As Global Optimization written by Pedro Meseguer González and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with categories.
Global Optimization And Constraint Satisfaction
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Author : Christophe Jermann
language : en
Publisher:
Release Date : 2005
Global Optimization And Constraint Satisfaction written by Christophe Jermann and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
Constrained Global Optimization
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Author : Panos M. Pardalos
language : en
Publisher: Springer
Release Date : 1987
Constrained Global Optimization written by Panos M. Pardalos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Computers categories.
Integrated Methods For Optimization
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Author : John N. Hooker
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-11-13
Integrated Methods For Optimization written by John N. Hooker 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 2011-11-13 with Business & Economics categories.
The first edition of Integrated Methods for Optimization was published in January 2007. Because the book covers a rapidly developing field, the time is right for a second edition. The book provides a unified treatment of optimization methods. It brings ideas from mathematical programming (MP), constraint programming (CP), and global optimization (GO)into a single volume. There is no reason these must be learned as separate fields, as they normally are, and there are three reasons they should be studied together. (1) There is much in common among them intellectually, and to a large degree they can be understood as special cases of a single underlying solution technology. (2) A growing literature reports how they can be profitably integrated to formulate and solve a wide range of problems. (3) Several software packages now incorporate techniques from two or more of these fields. The book provides a unique resource for graduate students and practitioners who want a well-rounded background in optimization methods within a single course of study. Engineering students are a particularly large potential audience, because engineering optimization problems often benefit from a combined approach—particularly where design, scheduling, or logistics are involved. The text is also of value to those studying operations research, because their educational programs rarely cover CP, and to those studying computer science and artificial intelligence (AI), because their curric ula typically omit MP and GO. The text is also useful for practitioners in any of these areas who want to learn about another, because it provides a more concise and accessible treatment than other texts. The book can cover so wide a range of material because it focuses on ideas that arerelevant to the methods used in general-purpose optimization and constraint solvers. The book focuses on ideas behind the methods that have proved useful in general-purpose optimization and constraint solvers, as well as integrated solvers of the present and foreseeable future. The second edition updates results in this area and includes several major new topics: Background material in linear, nonlinear, and dynamic programming. Network flow theory, due to its importance in filtering algorithms. A chapter on generalized duality theory that more explicitly develops a unifying primal-dual algorithmic structure for optimization methods. An extensive survey of search methods from both MP and AI, using the primal-dual framework as an organizing principle. Coverage of several additional global constraints used in CP solvers. The book continues to focus on exact as opposed to heuristic methods. It is possible to bring heuristic methods into the unifying scheme described in the book, and the new edition will retain the brief discussion of how this might be done.
Interval Methods For Solving Nonlinear Constraint Satisfaction Optimization And Similar Problems
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Author : Bartłomiej Jacek Kubica
language : en
Publisher: Springer
Release Date : 2019-03-08
Interval Methods For Solving Nonlinear Constraint Satisfaction Optimization And Similar Problems written by Bartłomiej Jacek Kubica and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-08 with Technology & Engineering categories.
This book highlights recent research on interval methods for solving nonlinear constraint satisfaction, optimization and similar problems. Further, it presents a comprehensive survey of applications in various branches of robotics, artificial intelligence systems, economics, control theory, dynamical systems theory, and others. Three appendices, on the notation, representation of numbers used as intervals’ endpoints, and sample implementations of the interval data type in several programming languages, round out the coverage.
Numerica
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Author : Pascal Van Hentenryck
language : en
Publisher: MIT Press
Release Date : 1997
Numerica written by Pascal Van Hentenryck and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Biography & Autobiography categories.
Many science and engineering applications require the user to find solutions to systems of nonlinear constraints or to optimize a nonlinear function subject to nonlinear constraints. The field of global optimization is the study of methods to find all solutions to systems of nonlinear constraints and all global optima to optimization problems. Numerica is modeling language for global optimization that makes it possible to state nonlinear problems in a form close to the statements traditionally found in textbooks and scientific papers. The constraint-solving algorithm of Numerica is based on a combination of traditional numerical methods such as interval and local methods, and constraint satisfaction techniques. This comprehensive presentation of Numerica describes its design, functions, and implementation. It also discusses how to use Numerica effectively to solve practical problems and reports a number of experimental results. A commercial implementation of Numerica is available from ILOG under the name ILOG Numerica.