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Integer Programming and Combinatorial Optimization

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Cover of 'Integer Programming and Combinatorial Optimization'

Table of Contents

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    Book Overview
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    Chapter 37 Improved approximation algorithms for MAX k -CUT and MAX BISECTION
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    Chapter 38 Approximating minimum feedback sets and multi-cuts in directed graphs
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    Chapter 39 Nonlinear formulations and improved randomized approximation algorithms for multicut problems
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    Chapter 40 Separating clique tree and bipartition inequalities in polynomial time
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    Chapter 41 The interval order polytope of a digraph
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    Chapter 42 Separation problems for the stable set polytope
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    Chapter 43 Computational study of a family of mixed-integer quadratic programming problems
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    Chapter 44 A minimal algorithm for the Bounded Knapsack Problem
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    Chapter 45 A framework for tightening 0–1 programs based on extensions of pure 0–1 KP and SS problems
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    Chapter 46 Combining semidefinite and polyhedral relaxations for integer programs
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    Chapter 47 Distributed near-optimal matching
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    Chapter 48 The random linear bottleneck assignment problem
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    Chapter 49 On implementing push-relabel method for the maximum flow problem
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    Chapter 50 Use of hidden network structure in the set partitioning problem
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    Chapter 51 Generalized max flows and augmenting paths
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    Chapter 52 Oriented matroid polytopes and polyhedral fans are signable
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    Chapter 53 On combinatorial properties of binary spaces
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    Chapter 54 Coverings and delta-coverings
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    Chapter 55 The topological structure of maximal lattice free convex bodies: The general case
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    Chapter 56 The Hilbert basis of the cut cone over the complete graph K 6
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    Chapter 57 GRIN: An implementation of Gröbner bases for integer programming
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    Chapter 58 Scheduling jobs of equal length: Complexity, facets and computational results
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    Chapter 59 Formulating a scheduling problem with almost identical jobs by using positional completion times
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    Chapter 60 Scheduling unit jobs with compatible release dates on parallel machines with nonstationary speeds
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    Chapter 61 A mickey-mouse decomposition theorem
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    Chapter 62 Minimum cost dynamic flows: The series-parallel case
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    Chapter 63 (0, ±1) ideal matrices
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    Chapter 64 Embedding graphs in the torus in linear time
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    Chapter 65 A characterization of Seymour graphs
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    Chapter 66 The Markov chain of colourings
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    Chapter 67 Packing algorithms for arborescences (and spanning trees) in capacitated graphs
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    Chapter 68 A faster edge splitting algorithm in multigraphs and its application to the edge-connectivity augmentation problem
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    Chapter 69 How to make a strongly connected digraph two-connected
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    Chapter 70 Polyhedra and optimization in connection with a weak majorization ordering
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    Chapter 71 Combining and strengthening Gomory cuts
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    Chapter 72 Sequence independent lifting of cover inequalities
Attention for Chapter 67: Packing algorithms for arborescences (and spanning trees) in capacitated graphs
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Chapter title
Packing algorithms for arborescences (and spanning trees) in capacitated graphs
Chapter number 67
Book title
Integer Programming and Combinatorial Optimization
Published by
Springer, Berlin, Heidelberg, May 1995
DOI 10.1007/3-540-59408-6_67
Book ISBNs
978-3-54-059408-6, 978-3-54-049245-0
Authors

Harold N. Gabow, K. S. Manu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 57%
Professor 1 14%
Professor > Associate Professor 1 14%
Lecturer 1 14%
Readers by discipline Count As %
Computer Science 4 57%
Mathematics 1 14%
Agricultural and Biological Sciences 1 14%
Engineering 1 14%