AbstractNormalized factorization procedures for the solution of large sparse linear finite element systems have been recently introduced in [3]. In these procedures the large sparse symmetric coefficient matrix of irregular structure is factorized exactly to yield a normalized direct solution method. Additionally, approximate factorization procedures yield implicit iterative methods for the finite difference or finite element solution. The numerical implementation of these algorithms is presented here and FORTRAN subroutines for the efficient solution of the resulting large sparse symmetric linear systems of algebraic equations are given
The need to solve large sparse linear systems of equations efficiently lies at the heart of many app...
In engineering and computing, the finite element approximation is one of the most well-known computa...
In Part I of this this paper, we proposed a new parallel bidirectional algorithm, based on Cholesky...
AbstractNormalized factorization procedures for the solution of large sparse linear finite element s...
. The efficiency of solving sparse linear systems on parallel processors and more complex multiclust...
AbstractExtended-to-the-limit sparse root-free factorization procedures are introduced for solving l...
The paper deals with parallel approach for the numerical solution of large, sparse, non-symmetric sy...
AbstractAn algorithm is presented for the general solution of a set of linear equations Ax=b. The me...
It is well known that the solution of sparse linear systems, generally expressed in th
This presentation is intended to review the state-of-the-art of iterative methods for solving large ...
This paper describes implementations of eight algorithms of Newton and quasi-Newton type for solving...
We describe a coarse-grain parallel software system for the homogeneous solution of linear systems. ...
AbstractEfficient numerical solution of large elliptic systems is often facilitated with an approxim...
Abstract. Numerical linear algebra and combinatorial optimization are vast subjects; as is their int...
This article surveys preconditioning techniques for the iterative solution of large linear systems, ...
The need to solve large sparse linear systems of equations efficiently lies at the heart of many app...
In engineering and computing, the finite element approximation is one of the most well-known computa...
In Part I of this this paper, we proposed a new parallel bidirectional algorithm, based on Cholesky...
AbstractNormalized factorization procedures for the solution of large sparse linear finite element s...
. The efficiency of solving sparse linear systems on parallel processors and more complex multiclust...
AbstractExtended-to-the-limit sparse root-free factorization procedures are introduced for solving l...
The paper deals with parallel approach for the numerical solution of large, sparse, non-symmetric sy...
AbstractAn algorithm is presented for the general solution of a set of linear equations Ax=b. The me...
It is well known that the solution of sparse linear systems, generally expressed in th
This presentation is intended to review the state-of-the-art of iterative methods for solving large ...
This paper describes implementations of eight algorithms of Newton and quasi-Newton type for solving...
We describe a coarse-grain parallel software system for the homogeneous solution of linear systems. ...
AbstractEfficient numerical solution of large elliptic systems is often facilitated with an approxim...
Abstract. Numerical linear algebra and combinatorial optimization are vast subjects; as is their int...
This article surveys preconditioning techniques for the iterative solution of large linear systems, ...
The need to solve large sparse linear systems of equations efficiently lies at the heart of many app...
In engineering and computing, the finite element approximation is one of the most well-known computa...
In Part I of this this paper, we proposed a new parallel bidirectional algorithm, based on Cholesky...