TY - GEN
T1 - Fixed-Parameter Algorithms for Cardinality-Constrained Graph Partitioning Problems on Sparse Graphs
AU - Yamada, Suguru
AU - Hanaka, Tesshu
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - For an undirected and edge-weighted graph G=(V,E) and a vertex subset S⊆V, we define a function φG(formula presented), where (formula presented) is a real number, w(S) is the sum of weights of edges having two endpoints in S, and w(S,V\S) is the sum of weights of edges having one endpoint in S and the other in V\S. Then, given a graph G=(V,E) and a positive integer k, Max (Min) α-Fixed Cardinality Graph Partitioning (Max (Min) α-FCGP) is the problem to find a vertex subset (formula presented) of size k that maximizes (minimizes) φG(S). In this paper, we first show that Max α-FCGP with (formula presented) and Minα-FCGP with (formula presented) can be solved in time (formula presented)-time algorithm on general graphs and a (formula presented)-time randomized algorithm on apex-minor-free graphs. Moreover, for Max α-FCGP with (formula presented) and Min (formula presented), we propose an (1+d)k2o(kd)+O(k)nO(1)-time algorithm. Finally, we show that they admit FPT-ASs when edge weights are constant.
AB - For an undirected and edge-weighted graph G=(V,E) and a vertex subset S⊆V, we define a function φG(formula presented), where (formula presented) is a real number, w(S) is the sum of weights of edges having two endpoints in S, and w(S,V\S) is the sum of weights of edges having one endpoint in S and the other in V\S. Then, given a graph G=(V,E) and a positive integer k, Max (Min) α-Fixed Cardinality Graph Partitioning (Max (Min) α-FCGP) is the problem to find a vertex subset (formula presented) of size k that maximizes (minimizes) φG(S). In this paper, we first show that Max α-FCGP with (formula presented) and Minα-FCGP with (formula presented) can be solved in time (formula presented)-time algorithm on general graphs and a (formula presented)-time randomized algorithm on apex-minor-free graphs. Moreover, for Max α-FCGP with (formula presented) and Min (formula presented), we propose an (1+d)k2o(kd)+O(k)nO(1)-time algorithm. Finally, we show that they admit FPT-ASs when edge weights are constant.
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U2 - 10.1007/978-3-031-60924-4_17
DO - 10.1007/978-3-031-60924-4_17
M3 - Conference contribution
AN - SCOPUS:85195483526
SN - 9783031609237
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 220
EP - 232
BT - Combinatorial Optimization - 8th International Symposium, ISCO 2024, Revised Selected Papers
A2 - Basu, Amitabh
A2 - Mahjoub, Ali Ridha
A2 - Mahjoub, Ali Ridha
A2 - Salazar González, Juan José
PB - Springer Science and Business Media Deutschland GmbH
T2 - 8th International Symposium on Combinatorial Optimization, ISCO 2024
Y2 - 22 May 2024 through 24 May 2024
ER -