Approximation algorithms for maximum cut with limited unbalance
We consider the problem of partitioning the vertices of a weighted graph into two sets of sizes that differ at most by a given threshold B , so as to maximize the weight of the crossing edges. For B equal to 0 this problem is known as Max Bisection, whereas for B equal to the number n of nodes it is...
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| Vydáno v: | Theoretical computer science Ročník 385; číslo 1; s. 78 - 87 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Amsterdam
Elsevier B.V
15.10.2007
Elsevier |
| Témata: | |
| ISSN: | 0304-3975, 1879-2294 |
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| Abstract | We consider the problem of partitioning the vertices of a weighted graph into two sets of sizes that differ at most by a given threshold
B
, so as to maximize the weight of the crossing edges. For
B
equal to
0
this problem is known as Max Bisection, whereas for
B
equal to the number
n
of nodes it is the maximum cut problem. We present polynomial time randomized approximation algorithms with non trivial performance guarantees for its solution. The approximation results are obtained by extending the methodology used by Y. Ye for Max Bisection and by combining this technique with another one that uses the algorithm of Goemans and Williamson for the maximum cut problem. When
B
is equal to zero the approximation ratio achieved coincides with the one obtained by Y. Ye; otherwise it is always above this value and tends to the value obtained by Goemans and Williamson as
B
approaches the number
n
of nodes. |
|---|---|
| AbstractList | We consider the problem of partitioning the vertices of a weighted graph into two sets of sizes that differ at most by a given threshold
B
, so as to maximize the weight of the crossing edges. For
B
equal to
0
this problem is known as Max Bisection, whereas for
B
equal to the number
n
of nodes it is the maximum cut problem. We present polynomial time randomized approximation algorithms with non trivial performance guarantees for its solution. The approximation results are obtained by extending the methodology used by Y. Ye for Max Bisection and by combining this technique with another one that uses the algorithm of Goemans and Williamson for the maximum cut problem. When
B
is equal to zero the approximation ratio achieved coincides with the one obtained by Y. Ye; otherwise it is always above this value and tends to the value obtained by Goemans and Williamson as
B
approaches the number
n
of nodes. |
| Author | Maffioli, Francesco Galbiati, Giulia |
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| Cites_doi | 10.1109/SFCS.1992.267823 10.1145/227683.227684 10.1007/PL00011415 10.1007/BF02523688 10.1006/jagm.2001.1183 10.1137/0805002 10.1016/0166-218X(81)90001-9 |
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| Keywords | Randomized approximation algorithm Maximum cut Semidefinite programming Limited unbalance cut Polynomial Computer theory Methodology Polynomial approximation Node Semi definite programming Approximation algorithm Weighted graph Polynomial time Maximum Performance Threshold |
| Language | English |
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| References | Ye (b12) 2001; 90 Frieze, Jerrum (b6) 1997; 18 G. Galbiati, S. Gualandi, F. Maffioli, Computational experince with a SDP-based algorithm for maximum cut with limited unbalance, in: Proc. of the 3rd International Network Optimization Conference, INOC 2007, 2007. File n. 24 Hayrapetyan, Kempe, Pal, Svitkina (b9) 2005; vol. 3669 Goemans, Williamson (b8) 1995; 42 S. Arora, C. Lund, R. Motwani, M. Sudan, M. Szegedy, Proof verification and hardness of approximation problems, in: Proc. of the 33rd FOCS, 1992, pp. 14–23 Vazirani (b11) 2001 Ageev, Sviridenko (b1) 1999; vol. 1610 Akiyama, Avis, Chvatal, Era (b2) 1981; 3 Alizadeh (b3) 1995; 5 Feige, Langberg (b5) 2001; 41 Poljak, Tuza (b10) 1995; vol. 20 10.1016/j.tcs.2007.05.036_b4 10.1016/j.tcs.2007.05.036_b7 Alizadeh (10.1016/j.tcs.2007.05.036_b3) 1995; 5 Frieze (10.1016/j.tcs.2007.05.036_b6) 1997; 18 Hayrapetyan (10.1016/j.tcs.2007.05.036_b9) 2005; vol. 3669 Poljak (10.1016/j.tcs.2007.05.036_b10) 1995; vol. 20 Ye (10.1016/j.tcs.2007.05.036_b12) 2001; 90 Goemans (10.1016/j.tcs.2007.05.036_b8) 1995; 42 Vazirani (10.1016/j.tcs.2007.05.036_b11) 2001 Feige (10.1016/j.tcs.2007.05.036_b5) 2001; 41 Ageev (10.1016/j.tcs.2007.05.036_b1) 1999; vol. 1610 Akiyama (10.1016/j.tcs.2007.05.036_b2) 1981; 3 |
| References_xml | – volume: 18 start-page: 67 year: 1997 end-page: 81 ident: b6 article-title: Improved approximation algorithms for MAX publication-title: Algorithmica – reference: S. Arora, C. Lund, R. Motwani, M. Sudan, M. Szegedy, Proof verification and hardness of approximation problems, in: Proc. of the 33rd FOCS, 1992, pp. 14–23 – volume: vol. 3669 start-page: 191 year: 2005 end-page: 202 ident: b9 article-title: Unbalanced graph cuts publication-title: ESA 2005 – volume: vol. 1610 start-page: 17 year: 1999 end-page: 30 ident: b1 article-title: Approximation algorithms for maximum coverage and max cut with given sizes of parts publication-title: IPCO 1999 – reference: G. Galbiati, S. Gualandi, F. Maffioli, Computational experince with a SDP-based algorithm for maximum cut with limited unbalance, in: Proc. of the 3rd International Network Optimization Conference, INOC 2007, 2007. File n. 24 – volume: 42 start-page: 1115 year: 1995 end-page: 1145 ident: b8 article-title: Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming publication-title: J. ACM – volume: 3 start-page: 227 year: 1981 end-page: 233 ident: b2 article-title: Balancing signed graphs publication-title: Discrete Appl. Math. – year: 2001 ident: b11 article-title: Approximation Algorithms – volume: 90 start-page: 101 year: 2001 end-page: 111 ident: b12 article-title: A. 699-approximation algorithm for max-bisection publication-title: Math. Program. Ser. A – volume: 5 start-page: 13 year: 1995 end-page: 51 ident: b3 article-title: Interior point methods in semidefinite programming with applications to combinatorial optimization publication-title: SIAM J. Optim. – volume: 41 start-page: 174 year: 2001 end-page: 211 ident: b5 article-title: Approximation algorithms for maximization problems in graph partitioning publication-title: J. Algorithms – volume: vol. 20 start-page: 181 year: 1995 end-page: 244 ident: b10 article-title: Maximum cuts and large bipartite subgraphs publication-title: Combinatorial Optimization – ident: 10.1016/j.tcs.2007.05.036_b4 doi: 10.1109/SFCS.1992.267823 – volume: 42 start-page: 1115 year: 1995 ident: 10.1016/j.tcs.2007.05.036_b8 article-title: Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming publication-title: J. ACM doi: 10.1145/227683.227684 – volume: vol. 20 start-page: 181 year: 1995 ident: 10.1016/j.tcs.2007.05.036_b10 article-title: Maximum cuts and large bipartite subgraphs – ident: 10.1016/j.tcs.2007.05.036_b7 – volume: 90 start-page: 101 year: 2001 ident: 10.1016/j.tcs.2007.05.036_b12 article-title: A. 699-approximation algorithm for max-bisection publication-title: Math. Program. Ser. A doi: 10.1007/PL00011415 – volume: 18 start-page: 67 year: 1997 ident: 10.1016/j.tcs.2007.05.036_b6 article-title: Improved approximation algorithms for MAX k-CUT and MAX BISECTION publication-title: Algorithmica doi: 10.1007/BF02523688 – volume: vol. 3669 start-page: 191 year: 2005 ident: 10.1016/j.tcs.2007.05.036_b9 article-title: Unbalanced graph cuts – volume: 41 start-page: 174 year: 2001 ident: 10.1016/j.tcs.2007.05.036_b5 article-title: Approximation algorithms for maximization problems in graph partitioning publication-title: J. Algorithms doi: 10.1006/jagm.2001.1183 – year: 2001 ident: 10.1016/j.tcs.2007.05.036_b11 – volume: 5 start-page: 13 year: 1995 ident: 10.1016/j.tcs.2007.05.036_b3 article-title: Interior point methods in semidefinite programming with applications to combinatorial optimization publication-title: SIAM J. Optim. doi: 10.1137/0805002 – volume: vol. 1610 start-page: 17 year: 1999 ident: 10.1016/j.tcs.2007.05.036_b1 article-title: Approximation algorithms for maximum coverage and max cut with given sizes of parts – volume: 3 start-page: 227 year: 1981 ident: 10.1016/j.tcs.2007.05.036_b2 article-title: Balancing signed graphs publication-title: Discrete Appl. Math. doi: 10.1016/0166-218X(81)90001-9 |
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| Snippet | We consider the problem of partitioning the vertices of a weighted graph into two sets of sizes that differ at most by a given threshold
B
, so as to maximize... |
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| SubjectTerms | Algorithmics. Computability. Computer arithmetics Applied sciences Approximations and expansions Computer science; control theory; systems Exact sciences and technology Information retrieval. Graph Limited unbalance cut Mathematical analysis Mathematics Maximum cut Miscellaneous Randomized approximation algorithm Sciences and techniques of general use Semidefinite programming Theoretical computing |
| Title | Approximation algorithms for maximum cut with limited unbalance |
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