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International Conference on Knowledge Science, Engineering and Management

KSEM 2018: Knowledge Science, Engineering and Management pp 12–23Cite as

A Community-Division Based Algorithm for Finding Relations Among Linear Constraints

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11062))

Abstract

Linear constraints are widely used in the modeling of many practical problems, and the solving technologies have important applications in satisfiability modulo theories, program analysis and verification. The efficiency of solving procedure could be improved by taking advantages of the relations among constraints. Traditional methods find relations through search, which do not take advantage of the structural characteristics and cost too much time. In this paper, a heuristic based on community division is proposed for finding relations among linear constraints. Firstly it builds a relation graph, which maps each constraint to a node. Then a division tool is employed to divide the nodes into several communities. At last, it tries to find relations among constraints in the same community through search. Experimental results show that the algorithm can effectively process large set of constraints, reduce time cost and find relations with higher quality.

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Acknowledgement

This work is supported by National Natural Science Foundation of China (Grant No. 61672505), the National Key Basic Research (973) Program of China (Grant No. 2014CB340701), and Key Research Program of Frontier Sciences, CAS (Grant No. QYZDJ-SSW-JSC036). Feifei Ma is also supported by the Youth Innovation Promotion Association, CAS.

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Authors and Affiliations

  1. State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China

    Minghao Liu, Feifei Ma & Jun Yan

  2. Laboratory of Parallel Software and Computational Science, Institute of Software, Chinese Academy of Sciences, Beijing, China

    Feifei Ma

  3. Technology Center of Software Engineering, Institute of Software, Chinese Academy of Sciences, Beijing, China

    Jun Yan

  4. University of Chinese Academy of Sciences, Beijing, China

    Minghao Liu, Feifei Ma & Jun Yan

Authors
  1. Minghao Liu
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  2. Feifei Ma
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  3. Jun Yan
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Corresponding authors

Correspondence to Feifei Ma or Jun Yan .

Editor information

Editors and Affiliations

  1. University of Bristol, Bristol, United Kingdom

    Weiru Liu

  2. Università di Trento, Povo, Italy

    Fausto Giunchiglia

  3. Jilin University, Changchun, China

    Bo Yang

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Liu, M., Ma, F., Yan, J. (2018). A Community-Division Based Algorithm for Finding Relations Among Linear Constraints. In: Liu, W., Giunchiglia, F., Yang, B. (eds) Knowledge Science, Engineering and Management. KSEM 2018. Lecture Notes in Computer Science(), vol 11062. Springer, Cham. https://doi.org/10.1007/978-3-319-99247-1_2

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  • DOI: https://doi.org/10.1007/978-3-319-99247-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99246-4

  • Online ISBN: 978-3-319-99247-1

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