A splitting method for complex symmetric indefinite linear system

Block preconditioners for symmetric indefinite linear systems

This paper presents a systematic theoretical and numerical evaluation of three common block preconditioners in a Krylov subspace method for solving symmetric indefinite linear systems. The focus is on large-scale real world problems where block approximations are a practical necessity. The main illustration is the performance of the block diagonal, constrained, and lower triangular precondition...

A Dense Complex Symmetric Indefinite Solver for the Fujitsu AP3000

A splitting method for shifted skew-Hermitian linear system

*Correspondence: [email protected] School of Science, Xi’an Polytechnic University, Xi’an, Shaanxi 710048, China Abstract In this paper, we present a splitting method for solving the shifted skew-Hermitian linear system, which is briefly called an α-SSS. Some convergence results are established and numerical experiments show that the splitting method is feasible for solving the problem of thi...

Aasen’s Symmetric Indefinite Linear Solvers in LAPACK

Recently, we released two LAPACK subroutines that implement Aasen’s algorithms for solving a symmetric indefinite linear system of equations. The first implementation is based on a partitioned right-looking variant of Aasen’s algorithm (the column-wise left-looking panel factorization, followed by the right-looking trailing submatrix update using the panel). The second implements the two-stage ...

A method for solving fully fuzzy linear system

In this paper, a numerical method for nding minimal solution of a mn fullyfuzzy linear system of the form Ax = b based on pseudo inverse calculation,is given when the central matrix of coecients is row full rank or column fullrank, and where A~ is a non-negative fuzzy mn matrix, the unknown vectorx is a vector consisting of n non-negative fuzzy numbers and the constant b isa vector consisting o...