The Generalized Conjugate Residual (GCR) method with a variable preconditioning is an efficient method for solving a large sparse linear system Ax = b. It has been clarified by some numericalâ€¦ (More)

2017 25th Euromicro International Conference onâ€¦

2017

We deal with Krylov subspace methods such as the Conjugate Gradient (CG) method for solving linear equations with symmetric matrices on a parallel computer. The algorithm which has the less number ofâ€¦ (More)

for x, where A is a given n Ã— n matrix, and b a given n-vector. We have many opportunities to solve linear equations with the same coefficient matrix and different right-hand sides (RHSs). Therefore,â€¦ (More)

s at ICCAM 2008 CR Variants of Hybrid Bi-CG Methods for Solving Linear Systems with Nonsymmetric Matrices Kuniyoshi Abe Gifu Shotoku University 1-38, Nakauzura, Gifu, 500-8288 Japanâ€¦ (More)

Bi-conjugate gradient (Bi-CG) is a well-known method for solving linear systems Ax = b for x, where A is a given n-by-n matrix, and b a given n-vector. A number of hybrid Bi-CG methods such asâ€¦ (More)

2015 17th International Symposium on Symbolic andâ€¦

2015

SCBiCG (Bi-Conjugate Gradient method for Symmetric Complex matrices) has been proposed for solving linear equations with complex symmetric matrices, where coefficients ci need to be set by users inâ€¦ (More)