A sign-based linear method for horizontal linear complementarity problems

For the horizontal linear complementarity problem, we establish a linear method based on the sign patterns of the solution of the equivalent modulus equation under the assumption of strict complementarity. The new method is equivalent to solving two linear equations, avoiding parameters selection, s...

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Veröffentlicht in:Numerical algorithms Jg. 91; H. 3; S. 1165 - 1181
Hauptverfasser: Shao, Xin-Hui, Wang, Zhe, Shen, Hai-Long
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.11.2022
Springer Nature B.V
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ISSN:1017-1398, 1572-9265
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Abstract For the horizontal linear complementarity problem, we establish a linear method based on the sign patterns of the solution of the equivalent modulus equation under the assumption of strict complementarity. The new method is equivalent to solving two linear equations, avoiding parameters selection, so it is more convenient and practical. Numerical examples show that the new method is superior to the previous modulus-based matrix splitting iterative method, two-step modulus-based matrix splitting iterative method and modulus-based nonsmooth Newton’s method in computing efficiency. The new method can be used as a solution scheme to the horizontal complementarity problem of large sparse matrices.
AbstractList For the horizontal linear complementarity problem, we establish a linear method based on the sign patterns of the solution of the equivalent modulus equation under the assumption of strict complementarity. The new method is equivalent to solving two linear equations, avoiding parameters selection, so it is more convenient and practical. Numerical examples show that the new method is superior to the previous modulus-based matrix splitting iterative method, two-step modulus-based matrix splitting iterative method and modulus-based nonsmooth Newton’s method in computing efficiency. The new method can be used as a solution scheme to the horizontal complementarity problem of large sparse matrices.
Author Wang, Zhe
Shen, Hai-Long
Shao, Xin-Hui
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  organization: Department of Mathematics, College of Sciences, Northeastern University
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  givenname: Hai-Long
  surname: Shen
  fullname: Shen, Hai-Long
  organization: Department of Mathematics, College of Sciences, Northeastern University
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CitedBy_id crossref_primary_10_1088_2051_672X_ade26e
crossref_primary_10_1016_j_cam_2024_116440
crossref_primary_10_1016_j_triboint_2023_108624
crossref_primary_10_1016_j_cam_2025_116873
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Copyright The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022
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Keywords Modulus equation
Sign analysis
Horizontal complementarity problem
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Snippet For the horizontal linear complementarity problem, we establish a linear method based on the sign patterns of the solution of the equivalent modulus equation...
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SubjectTerms Algebra
Algorithms
Computer Science
Equivalence
Iterative methods
Linear equations
Methods
Numeric Computing
Numerical Analysis
Original Paper
Sparse matrices
Splitting
Theorems
Theory of Computation
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Title A sign-based linear method for horizontal linear complementarity problems
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