An Arnoldi-Inout method accelerated with a two-stage matrix splitting iteration for computing PageRank
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DOI: 10.1007/s10092-016-0211-2
Abstract: The PageRank algorithm is one of the most commonly used techniques that determines the global importance of Web pages. In this paper, we present a preconditioned Arnoldi-Inout approach for the computation of Pagerank vector, which… read more here.
Keywords: two stage; matrix splitting; stage matrix; splitting iteration ... See more keywords
A new Approach for the Modulus-Based Matrix Splitting Algorithms
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DOI: 10.1109/access.2019.2930562
Abstract: We investigate the modulus-based matrix splitting iteration algorithms for solving the linear complementarity problems (LCPs) and propose a new model to solve it. The structure of the new model is straightforward and can be extended… read more here.
Keywords: based matrix; new approach; modulus based; matrix splitting ... See more keywords
Convergence analysis of modulus-based matrix splitting iterative methods for implicit complementarity problems
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DOI: 10.1186/s13660-017-1593-7
Abstract: In this paper, we demonstrate a complete version of the convergence theory of the modulus-based matrix splitting iteration methods for solving a class of implicit complementarity problems proposed by Hong and Li (Numer. Linear Algebra… read more here.
Keywords: complementarity problems; matrix splitting; modulus based; matrix ... See more keywords
MATRIX SPLITTING TECHNIQUE FOR SOLVING ELECTROMAGNETIC SCATTERING PROBLEMS OVER A WIDE ANGLE BY COMPRESSIVE SENSING
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DOI: 10.2528/pierl21030404
Abstract: By combining the method of moments and the compressive sensing theory, a rapid scheme for analyzing the electromagnetic scattering problems over a wide incident angle has been developed, by which the calculation times of traditional… read more here.
Keywords: problems wide; electromagnetic scattering; compressive sensing; matrix splitting ... See more keywords