The vertex k-cut problem

被引:12
|
作者
Cornaz, Denis [1 ]
Furini, Fabio [1 ]
Lacroix, Mathieu [2 ]
Malaguti, Enrico [3 ]
Mahjoub, A. Ridha [1 ]
Martin, Sebastien [4 ]
机构
[1] Univ Paris 09, PSL, CNRS, LAMSADE UMR 7243, F-75775 Paris 16, France
[2] Univ Paris 13, Sorbonne Paris Cite, LIPN, CNRS,UMR 7030, Ave JB Clement, F-93430 Villetaneuse, France
[3] Univ Bologna, DEI, Viale Risorgimento 2, I-40136 Bologna, Italy
[4] Univ Lorraine, LCOMS, F-57045 Metz, France
关键词
Vertex cut; Mixed-integer programming models; Branch and Price; Exact algorithms; SEPARATOR PROBLEM; ALGORITHM; COMPLEXITY;
D O I
10.1016/j.disopt.2018.07.003
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Given an undirected graph G = (V, E), a vertex k-cut of G is a vertex subset of V the removing of which disconnects the graph in at least k components. Given a graph G and an integer k >= 2, the vertex k-cut problem consists in finding a vertex k-cut of G of minimum cardinality. We first prove that the problem is NP-hard for any fixed k >= 3. We then present a compact formulation, and an extended formulation from which we derive a column generation and a branching scheme. Extensive computational results prove the effectiveness of the proposed methods. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:8 / 28
页数:21
相关论文
共 50 条
  • [41] LP RELAXATION AND TREE PACKING FOR MINIMUM k-CUT
    Chekuri, Chandra
    Quanrud, Kent
    Xu, Chao
    SIAM JOURNAL ON DISCRETE MATHEMATICS, 2020, 34 (02) : 1334 - 1353
  • [42] The Karger-Stein Algorithm Is Optimal for k-Cut
    Gupta, Anupam
    Lee, Euiwoong
    Li, Jason
    PROCEEDINGS OF THE 52ND ANNUAL ACM SIGACT SYMPOSIUM ON THEORY OF COMPUTING (STOC '20), 2020, : 473 - 484
  • [43] Optimal Coloring Strategies for the Max k-Cut Game
    Garuglieri, Andrea
    Madeo, Dario
    Mocenni, Chiara
    Palma, Giulia
    Rinaldi, Simone
    MATHEMATICS, 2024, 12 (04)
  • [44] Computing program modularizations using the k-cut method
    Jermaine, Christopher
    Reverse Engineering - Working Conference Proceedings, 1999, : 224 - 234
  • [45] MAX k-CUT and approximating the chromatic number of random graphs
    Coja-Oghlan, A
    Moore, C
    Sanwalani, V
    RANDOM STRUCTURES & ALGORITHMS, 2006, 28 (03) : 289 - 322
  • [46] Native measurement-based quantum approximate optimization algorithm applied to the Max K-Cut problem
    Proietti, Massimiliano
    Cerocchi, Filippo
    Dispenza, Massimiliano
    PHYSICAL REVIEW A, 2022, 106 (02)
  • [47] Improved approximation algorithms for MAX k-CUT and MAX BISECTION
    Frieze, A
    Jerrum, M
    ALGORITHMICA, 1997, 18 (01) : 67 - 81
  • [48] An FPT Algorithm Beating 2-Approximation for k-Cut
    Gupta, Anupam
    Lee, Euiwoong
    Li, Jason
    SODA'18: PROCEEDINGS OF THE TWENTY-NINTH ANNUAL ACM-SIAM SYMPOSIUM ON DISCRETE ALGORITHMS, 2018, : 2821 - 2837
  • [49] K-cut quartz SAW resonators for stable frequency sources
    Takagi, M
    Momosaki, E
    Yamakita, M
    Oura, N
    IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 1998, 45 (02) : 328 - 337
  • [50] Breaking the nk Barrier for Minimum k-Cut on Simple Graphs
    He, Zhiyang
    Li, Jason
    PROCEEDINGS OF THE 54TH ANNUAL ACM SIGACT SYMPOSIUM ON THEORY OF COMPUTING (STOC '22), 2022, : 131 - 136