Almost optimal query algorithm for hitting set using a subset query

被引:1
|
作者
Bishnu, Arijit [1 ]
Ghosh, Arijit [1 ]
Kolay, Sudeshna [2 ]
Mishra, Gopinath [3 ]
Saurabh, Saket [4 ]
机构
[1] Indian Stat Inst, Kolkata, India
[2] Indian Inst Technol Kharagpur, Kharagpur, India
[3] Univ Warwick, Coventry, England
[4] HBNI, Inst Math Sci, Chennai, India
基金
英国工程与自然科学研究理事会;
关键词
Query complexity; Subset queries; Hitting set; Parameterized complexity;
D O I
10.1016/j.jcss.2023.02.002
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we focus on HITTING-SET, a fundamental problem in combinatorial optimization, through the lens of sublinear time algorithms. Given access to the hypergraph through a subset query oracle in the query model, we give sublinear time algorithms for HITTING-SET with almost tight parameterized query complexity. In parameterized query complexity, we estimate the number of queries to the oracle based on the parameter k, the size of the HITTING-SET. The subset query oracle we use in this paper is called Generalized d-partite Independent Set query oracle (GPIS) and it was introduced by Bishnu et al. (ISAAC'18). GPIS is a generalization to hypergraphs of the Bipartite Independent Set query oracle (BIS) introduced by Beame et al. (ITCS'18 and TALG'20) for estimating the number of edges in graphs. Since its introduction GPIS query oracle has been used for estimating the number of hyperedges independently by Dell et al.(SODA'20 and SICOMP'22) and Bhattacharya et al. (STACS'22), and for estimating the number of triangles in a graph by Bhattacharya et al. (ISAAC'19 and TOCS'21). Formally, GPIS is defined as follows: GPIS oracle for a d-uniform hypergraph H takes as input d pairwise disjoint non-empty subsets A(1),..., A(d) of vertices in Hand answers whether there is a hyperedge in Hthat intersects each set A(i), where i is an element of{1, 2,..., d}. For d = 2, the GPIS oracle is nothing but BIS oracle. We show that d-Hitting-Set, the hitting set problem for d-uniform hypergraphs, can be solved using (O) over tilde (d)(k(d) log n) GPIS queries. Additionally, we also showed that d-DECISION-HITTING-SET, the decision version of d-HITTING-SET can be solved with (O) over tilde (d) (min {k(d) log n, k(2d2)} GPIS queries. We complement these parameterized upper bounds with an almost matching parameterized lower bound that states that any algorithm that solves d-Decision HITTING-SET requires Omega ((k+d d)) GPIS queries. (c) 2023 Elsevier Inc. All rights reserved.
引用
收藏
页码:50 / 65
页数:16
相关论文
共 50 条
  • [1] ALMOST OPTIMAL HITTING SET
    ANDREEV, AE
    [J]. DOKLADY AKADEMII NAUK, 1995, 340 (04) : 453 - 455
  • [2] An Active Learning Algorithm for Ranking from Pairwise Preferences with an Almost Optimal Query Complexity
    Ailon, Nir
    [J]. JOURNAL OF MACHINE LEARNING RESEARCH, 2012, 13 : 137 - 164
  • [3] An active learning algorithm for ranking from pairwise preferences with an almost optimal query complexity
    Ailon, Nir
    [J]. Journal of Machine Learning Research, 2012, 13 : 137 - 164
  • [4] A Trie Based Set Similarity Query Algorithm
    Jia, Lianyin
    Tang, Junzhuo
    Li, Mengjuan
    Li, Runxin
    Ding, Jiaman
    Chen, Yinong
    [J]. MATHEMATICS, 2023, 11 (01)
  • [5] Optimal genetic query algorithm for information retrieval
    Wang, ZQ
    Feng, BQ
    [J]. PARALLEL AND DISTRIBUTED PROCESSING AND APPLICATIONS, PROCEEDINGS, 2004, 3358 : 888 - 892
  • [6] A query-optimal algorithm for finding counterfactuals
    Blanc, Guy
    Koch, Caleb
    Lange, Jane
    Tan, Li-Yang
    [J]. INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 162, 2022,
  • [7] Query by example by extracting inductive query definitions using rough set theory
    Shirahama, Kimiaki
    Matsuoka, Yuta
    Uehara, Kuniaki
    [J]. Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers, 2012, 66 (05):
  • [8] Generating Query Plans for Distributed Query Processing Using Genetic Algorithm
    Kumar, T. V. Vijay
    Panicker, Shina
    [J]. INFORMATION COMPUTING AND APPLICATIONS, 2011, 7030 : 765 - 772
  • [9] QFed: Query Set For Federated SPARQL Query Benchmark
    Rakhmawati, Nur Aini
    Saleem, Muhammad
    Lalithsena, Sarasi
    Decker, Stefan
    [J]. 16TH INTERNATIONAL CONFERENCE ON INFORMATION INTEGRATION AND WEB-BASED APPLICATIONS & SERVICES (IIWAS 2014), 2014, : 207 - 211
  • [10] Query evaluation in almost consistent databases using residues
    Arenas, M
    Bertossi, L
    Chomicki, J
    [J]. SCCC'98 - XVIII INTERNATIONAL CONFERENCE OF THE CHILEAN SOCIETY OF COMPUTER SCIENCE, PROCEEDINGS, 1998, : 8 - 14