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Combinatorial Optimization — Eureka, You Shrink!

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Cover of 'Combinatorial Optimization — Eureka, You Shrink!'

Table of Contents

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    Book Overview
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    Chapter 1 “Eureka — You Shrink!”
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    Chapter 2 Submodular Functions, Matroids, and Certain Polyhedra
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    Chapter 3 Matching: A Well-Solved Class of Integer Linear Programs
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    Chapter 4 Theoretical Improvements in Algorithmic Efficiency for Network Flow Problems
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    Chapter 5 Connected Matchings
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    Chapter 6 Hajós’ Construction and Polytopes
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    Chapter 7 Algorithmic Characterization of Bipartite b-Matching and Matroid Intersection
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    Chapter 8 Solving Real-World ATSP Instances by Branch-and-Cut
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    Chapter 9 The Bundle Method for Hard Combinatorial Optimization Problems
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    Chapter 10 The One-Commodity Pickup-and-Delivery Travelling Salesman Problem
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    Chapter 11 Reconstructing a Simple Polytope from Its Graph
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    Chapter 12 An Augment-and-Branch-and-Cut Framework for Mixed 0-1 Programming
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    Chapter 13 A Procedure of Facet Composition for the Symmetric Traveling Salesman Polytope
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    Chapter 14 Constructing New Facets of the Consecutive Ones Polytope
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    Chapter 15 A Simplex-Based Algorithm for 0-1 Mixed Integer Programming
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    Chapter 16 Mixed-Integer Value Functions in Stochastic Programming
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    Chapter 17 Exact Algorithms for NP-Hard Problems: A Survey
Attention for Chapter 14: Constructing New Facets of the Consecutive Ones Polytope
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Citations

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Chapter title
Constructing New Facets of the Consecutive Ones Polytope
Chapter number 14
Book title
Combinatorial Optimization — Eureka, You Shrink!
Published by
Springer, Berlin, Heidelberg, January 2003
DOI 10.1007/3-540-36478-1_14
Book ISBNs
978-3-54-000580-3, 978-3-54-036478-8
Authors

Marcus Oswald, Gerhard Reinelt, Oswald, Marcus, Reinelt, Gerhard

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 67%
Student > Ph. D. Student 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Mathematics 1 33%

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