Cut Problems in Graphs with a Budget Constraint
Author(s) -
Roee Engelberg,
Jochen Könemann,
Stefano Leonardi,
Joseph Naor
Publication year - 2006
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
DOI - 10.1007/11682462_41
Subject(s) - approximation algorithm , maximum cut , constraint (computer aided design) , computer science , mathematical optimization , constant (computer programming) , budget constraint , algorithm , mathematics , theoretical computer science , graph , geometry , neoclassical economics , economics , programming language
We study budgeted variants of classical cut problems: the Multiway Cut problem, the Multicut problem, and the k-Cut problem, and provide approximation algorithms for these problems. Specifically, for the budgeted multiway cut and the k-cut problems we provide constant factor approximation algorithms. We show that the budgeted multicut problem is at least as hard to approximate as the sparsest cut problem, and we provide a bi-criteria approximation algorithm for it.
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