Abstract. Variants of the p4 algorithm of Hellerman and Rarick and the p5 algorithm of Erisman, Grimes, Lewis, and Poole, used for generating a bordered block triangular form for the in-core solution of sparse sets of linear equations, are considered. A particular concern is with maintaining numerical stability. Methods for ensuring stability and the extra cost that they entail are discussed. Different factorization schemes are also examined. The uses of matrix modification and iterative refinement are considered, and the best variant is compared with an established code for the solution of unsymmetric sparse sets of linear equations. The established code is usually found to be the most effective method
In this paper we review the parallel solution of sparse linear systems, usually deriving by the disc...
A few parallel algorithms for solving triangular systems resulting from parallel factorization of sp...
AbstractWe describe a set of procedures for computing and updating an LU factorization of a sparse m...
In this thesis we will present an effective method for solving systems of linear equations with larg...
An over view of advanced techniques for solving large sparse linear systems of equations is presente...
AbstractA new sparse approximate triangular factorization technique for solving large sparse linear ...
This paper proposes a set of Level 3 Basic Linear Algebra Subprograms and associated kernels for sp...
W e present algorithms for the symbolic and numerical factorization phases in the direct solution o...
A new direct method for solving unsymmetrical sparse linear systems(USLS) arising from meshless meth...
Abstract. Numerical linear algebra and combinatorial optimization are vast subjects; as is their int...
Recent advances in linear programming solution methodology have focused on interior point algorithms...
. For a sparse linear system Ax = b, preconditioners of the form C = D + L + U , where D is the blo...
Out-of-core sparse direct solvers reduce the amount of main memory needed to factorize and solve lar...
We present an out-of-core sparse nonsymmetric LU-factorization algorithm with partial pivoting. We h...
AbstractNormalized factorization procedures for the solution of large sparse linear finite element s...
In this paper we review the parallel solution of sparse linear systems, usually deriving by the disc...
A few parallel algorithms for solving triangular systems resulting from parallel factorization of sp...
AbstractWe describe a set of procedures for computing and updating an LU factorization of a sparse m...
In this thesis we will present an effective method for solving systems of linear equations with larg...
An over view of advanced techniques for solving large sparse linear systems of equations is presente...
AbstractA new sparse approximate triangular factorization technique for solving large sparse linear ...
This paper proposes a set of Level 3 Basic Linear Algebra Subprograms and associated kernels for sp...
W e present algorithms for the symbolic and numerical factorization phases in the direct solution o...
A new direct method for solving unsymmetrical sparse linear systems(USLS) arising from meshless meth...
Abstract. Numerical linear algebra and combinatorial optimization are vast subjects; as is their int...
Recent advances in linear programming solution methodology have focused on interior point algorithms...
. For a sparse linear system Ax = b, preconditioners of the form C = D + L + U , where D is the blo...
Out-of-core sparse direct solvers reduce the amount of main memory needed to factorize and solve lar...
We present an out-of-core sparse nonsymmetric LU-factorization algorithm with partial pivoting. We h...
AbstractNormalized factorization procedures for the solution of large sparse linear finite element s...
In this paper we review the parallel solution of sparse linear systems, usually deriving by the disc...
A few parallel algorithms for solving triangular systems resulting from parallel factorization of sp...
AbstractWe describe a set of procedures for computing and updating an LU factorization of a sparse m...