Results 51 to 60 of about 171 (65)

Analysis of eigenvalue condition numbers for a class of randomized numerical methods for singular matrix pencils. [PDF]

BIT Numer Math
Kressner D, Plestenjak B.
europepmc   +1 more source

Identifying key papers within a journal via network centrality measures. [PDF]

Scientometrics, 2016
Diallo SY, Lynch CJ, Gore R, Padilla JJ.
europepmc   +1 more source

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Two-Step Two-Sweep Modulus-Based Matrix Splitting Iteration Method for Linear Complementarity Problems

Numerical Mathematics: Theory, Methods and Applications, 2022
. Linear complementarity problems have drawn considerable attention in recent years due to their wide applications. In this article, we introduce the two-step two-sweep modulus-based matrix splitting (TSTM) iteration method and two-sweep modulus-based ...
Maryam Bashirizadeh, M. Hajarian
semanticscholar   +1 more source

A Variant Modified Skew-Normal Splitting Iterative Method for Non-Hermitian Positive Definite Linear Systems

Numerical Mathematics: Theory, Methods and Applications, 2022
We propose a variant modified skew-normal splitting iterative method to solve a class of large sparse non-Hermitian positive definite linear systems.
Rui Li, Jun-Feng Yin null, Zhi-lin Li
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A Parameterized Class of Complex Nonsymmetric Algebraic Riccati Equations

Numerical Mathematics: Theory, Methods and Applications, 2021
In this paper, by introducing a definition of parameterized comparison matrix of a given complex square matrix, the solvability of a parameterized class of complex nonsymmetric algebraic Riccati equations (NAREs) is discussed.
Liqiang Dong
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An Adaptive Multigrid Method for Semilinear Elliptic Equations

East Asian Journal on Applied Mathematics, 2019
An adaptive multigrid method for semilinear elliptic equations based on adaptive multigrid methods and on multilevel correction methods is developed.
Fei Xu, Qiumei Huang, Shuangshuang Chen, Tao Bing   +3 more
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A Filtered-Davidson Method for Large Symmetric Eigenvalue Problems

, 2017
For symmetric eigenvalue problems, we constructed a three-term recurrence polynomial filter by means of Chebyshev polynomials. The new filtering technique does not need to solve linear systems and only needs matrix-vector products.
Cun-Qiang Miao
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Generalized Accelerated Hermitian and Skew-Hermitian Splitting Methods for Saddle-Point Problems

, 2017
We generalize the accelerated Hermitian and skew-Hermitian splitting (AHSS) iteration methods for large sparse saddle-point problems. These methods involve four iteration parameters whose special choices can recover the preconditioned HSS and accelerated
H. N. Pour, H. S. Goughery
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An Inexact Shift-and-Invert Arnoldi Algorithm for Large Non-Hermitian Generalised Toeplitz Eigenproblems

, 2015
The shift-and-invert Arnoldi method is a most effective approach to compute a few eigenpairs of a large non-Hermitian Toeplitz matrix pencil, where the Gohberg- Semencul formula can be used to obtain the Toeplitz inverse.
Ting-ting Feng, Gang Wu, Ting-Ting Xu
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Superoptimal Preconditioners for Functions of Matrices

, 2015
For any given matrix A ∈ C, a preconditioner tU (A) called the superoptimal preconditioner was proposed in 1992 by Tyrtyshnikov. It has been shown that tU (A) is an efficient preconditioner for solving various structured systems, for instance, Toeplitz ...
Zhengjian Bai, Xiao-Qing Jin, Teng-Teng Yao   +2 more
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