Bandwidth (or semibandwidth) of n × n matrix A is smallest value β such that aij = 0 for all |i − j |> β Matrix is banded if β n If β p, then minor modifications of parallel algorithms for dense LU or Cholesky factorization are reasonably efficient for solving banded linear system Ax = b If β / p, then standard parallel algorithms for LU or Cholesky factorization utilize few processors and are very inefficien
Abstract Most research in algorithm design relies on worstcase analysis for performance com parison...
Abstract. For a sparse symmetric matrix, there has been much attention given to algorithms for reduc...
We pursue the scalable parallel implementation of the factor- ization of band matrices with medium ...
. We investigate and compare stable parallel algorithms for solving diagonally dominant and general ...
Banded linear systems with large bandwidths can be solved by similar methods as full linear systems....
Introduction Let A = [a ij ] be a n \Theta n matrix such that a ij = 0 if ji \Gamma jj ? m: (1) Su...
. We propose a stable algorithm for the parallel solution of banded and periodically banded linear s...
In this paper we present heuristic techniques for the reduction of the bandwidth of a sparse matrix...
. We present and compare several methods for multiplying banded square matrices. Various storage sch...
Introduction Given an undirected graph G = (V; E) on n vertices, a linear arrangement (also called ...
AbstractA new parallel algorithm for the LU factorization of a given dense matrix A is described. Th...
AbstractWe devise parallel algorithms for solving a banded linear system of equations and for comput...
AbstractComputational and storage costs of resolution of large sparse linear systems Ax=b can be per...
A simple and efficient algorithm for the bandwidth reduction of sparse symmetric matrices is propose...
Abstract-A new parallel algorithm for the LU factorization of a given dense matrix A is described. T...
Abstract Most research in algorithm design relies on worstcase analysis for performance com parison...
Abstract. For a sparse symmetric matrix, there has been much attention given to algorithms for reduc...
We pursue the scalable parallel implementation of the factor- ization of band matrices with medium ...
. We investigate and compare stable parallel algorithms for solving diagonally dominant and general ...
Banded linear systems with large bandwidths can be solved by similar methods as full linear systems....
Introduction Let A = [a ij ] be a n \Theta n matrix such that a ij = 0 if ji \Gamma jj ? m: (1) Su...
. We propose a stable algorithm for the parallel solution of banded and periodically banded linear s...
In this paper we present heuristic techniques for the reduction of the bandwidth of a sparse matrix...
. We present and compare several methods for multiplying banded square matrices. Various storage sch...
Introduction Given an undirected graph G = (V; E) on n vertices, a linear arrangement (also called ...
AbstractA new parallel algorithm for the LU factorization of a given dense matrix A is described. Th...
AbstractWe devise parallel algorithms for solving a banded linear system of equations and for comput...
AbstractComputational and storage costs of resolution of large sparse linear systems Ax=b can be per...
A simple and efficient algorithm for the bandwidth reduction of sparse symmetric matrices is propose...
Abstract-A new parallel algorithm for the LU factorization of a given dense matrix A is described. T...
Abstract Most research in algorithm design relies on worstcase analysis for performance com parison...
Abstract. For a sparse symmetric matrix, there has been much attention given to algorithms for reduc...
We pursue the scalable parallel implementation of the factor- ization of band matrices with medium ...