Fast modulus-based matrix splitting iteration methods for implicit complementarity problems

Jiewen He; Seakweng Vong

doi:10.1016/j.apnum.2022.07.011

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Fast modulus-based matrix splitting iteration methods for implicit complementarity problems

Jiewen He Seakweng Vong

Year: 2022 Journal: Applied Numerical Mathematics Vol: 182 Pages: 28-41 Publisher: Elsevier BV

DOI: 10.1016/j.apnum.2022.07.011

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Keywords:

Mathematics Applied mathematics Modulus Matrix splitting Matrix (chemical analysis) Complementarity (molecular biology) Complementarity theory Numerical analysis Mathematical analysis Mathematical optimization Algorithm State-transition matrix Geometry Symmetric matrix Eigenvalues and eigenvectors Composite material

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Matrix Theory and Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Advanced Optimization Algorithms Research

Physical Sciences → Mathematics → Numerical Analysis

Advanced Topics in Algebra

Physical Sciences → Mathematics → Algebra and Number Theory

Fast modulus-based matrix splitting iteration methods for implicit complementarity problems

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