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Lois Leveen: IMG Forsooth Me Not: Shakespeare, Juliet, Her Nurse, and a Novel



There's this writer, William Shakespeare. Perhaps you've heard of him. He wrote this play, Romeo and Juliet. Maybe you've heard of it as well. It's... Continue »
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    Juliet's Nurse

    Lois Leveen 9781476757445

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Other titles in the International Series in Operations Research & Management Science series:

International Series in Operations Research & Management Sci #100: Integrated Methods for Optimization

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International Series in Operations Research & Management Sci #100: Integrated Methods for Optimization Cover

 

Synopses & Reviews

Publisher Comments:

Integrated Methods for Optimization integrates the key concepts of Mathematical Programming and Constraint Programming into a unified framework that allows them to be generalized and combined. The unification of MP and CP creates optimization methods that have much greater modeling power, increased computational speed, and a sizeable reduction computational coding. Hence the benefits of this integration are substantial, providing the Applied Sciences with a powerful, high-level modeling solution for optimization problems. As reviewers of the book have noted, this integration along with constraint programming being incorporated into a number of programming languages, brings the field a step closer to being able to simply state a problem and having the computer solve it. John Hooker is a leading researcher in both the Optimization and Constraint Programming research communities. He has been an instrumental principal for this integration, and over the years, he has given numerous presentations and tutorials on the integration of these two areas. It is felt by many in the field that the future Optimization courses will increasingly be taught from this integrated framework.

Synopsis:

This book integrates the key concepts of mathematical programming and constraint programming into a unified framework that allows them to be generalized and combined. It provides a powerful, high-level modeling solution for optimization problems.

About the Author

John Hooker is a leading researcher in both the Optimization and Constraint Programming research communities. He has been an instrumental principal for this integration, and over the years, he has given numerous presentations and tutorials on the integration of these two areas. It is felt by many in the field that the future Optimization courses will increasingly be taught from this integrated framework. Prof. Hooker has published two earlier books on the methodologies of Optimization and Constraint Programming. The first was Optimization Methods for Logical Inference (Wiley 1999) and the second was Logic Based Methods for Optimization: Combining Optimization and Constraints Satisfaction (Wiley 2000). This book will be his third book in this evolving area and it is the book that completes the process of integrating these two methodologies into a single set of methods

Table of Contents

Preface.- Introduction.- Search.- The solution process.- Branching search.- Constraint-directed search.- Local search.- Bibliographic notes.- Inference.- Completeness.- Inference duality.- Linear inequalities.- General inequality constraints.- Propositional logic.- 0-1 linear inequalities.- Integer linear inequalities.- The element constraint.- The all-different constraint.- The cardinality and Nvalues constraints.- The circuit constraint.- The stretch constraint.- Disjunctive scheduling.- Cumulative scheduling.- Bibliographic notes.- Relaxation.- Relaxation duality.- Linear inequalities.- Semicontinuous piecewise linear functions.- 0-1 linear inequalities.- Integer linear inequalities.- Lagrangean and surrogate relaxations.- Disjunctions of linear systems.- Disjunctions of nonlinear systems.- MILP modeling.- Propositional Logic.- The element constraint.- The all-different constraint.- The cardinality constraint.- The circuit constraint.- Disjunctive scheduling.- Cumulative scheduling.- Bibliographic notes.- Dictionary of constraints.- References.- Index.

Product Details

ISBN:
9780387382722
Author:
Hooker, John N.
Publisher:
Springer
Author:
Hooker, John
Subject:
Computer Science
Subject:
Linear Programming
Subject:
Applied
Subject:
Programming (Mathematics)
Subject:
Mathematical optimization
Subject:
Constraint programming
Subject:
Integrated
Subject:
Mathematical programming
Subject:
Methods
Subject:
OPTIMIZATION
Subject:
Operations Research/Decision Theory
Subject:
Computing Methodologies.
Subject:
Mathematics of Computing
Subject:
Mathematical Modeling and Industrial Mathematics
Subject:
Business/Management Science, general <P>PEACH (Personal Experience with Active Cultural Heritage) is a large, interdisciplinary development project that explores the use of novel technologies for physical museum visits. Put together by editors and authors
Subject:
Mathematics-Computer
Subject:
Business/Management Science, general
Copyright:
Edition Description:
Book
Series:
International Series in Operations Research & Management Science
Series Volume:
100
Publication Date:
20061103
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
504
Dimensions:
235 x 155 mm 1950 gr

Related Subjects

Computers and Internet » Computers Reference » General
Computers and Internet » Personal Computers » General
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » Computer

International Series in Operations Research & Management Sci #100: Integrated Methods for Optimization New Hardcover
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$142.25 Backorder
Product details 504 pages Springer - English 9780387382722 Reviews:
"Synopsis" by , This book integrates the key concepts of mathematical programming and constraint programming into a unified framework that allows them to be generalized and combined. It provides a powerful, high-level modeling solution for optimization problems.
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