Add to ORKGThe paper describes a storage scheme for sparse symmetric or nonsymmetric matrices which has been developed and used for many years at the Technical University of Chemnitz. An overview of existing library subroutines using such matrices is included
The authors describe a new extension to ScaLAPACK for computing with symmetric (Hermitian) matrices ...
This paper introduces a novel data structure used to store sparse matrices optimally – minimizing th...
The irregular nature of sparse matrix-vector multiplication, Ax = y, has led to the development of a...
The paper describes a storage scheme for sparse symmetric or nonsymmetric matrices which has b...
An important kernel of scientific software is the multiplication of a sparse matrix by a vector. The...
Sparse matrices are often used in numerical algorithms that solve linear equation systems. Many meth...
Cilem teto prace je poskytnout uceleny prehled dosud publikovanych formatu pro ulozeni ridke matice ...
Over the past few years several proposals have been made for the standardization of sparse matrix st...
Over the past few years several proposals have been made for the standardization of sparse matrix st...
I create a library for storing matrices and working with matrices in this bachelor’s thesis. In this...
The matrix-vector product is one of the most important computational components of Krylov methods. T...
AbstractThis paper studies a sparse configuration for a new class of decomposition derived by the au...
In this work we present a heuristic to select the appropriate compressed storage format when computi...
Abstract. Matlab*P is a flexible interactive system that enables com-putational scientists and engin...
We describe a new extension to ScaLAPACK [2] for computing with symmetric (Hermitian) matrices store...
The authors describe a new extension to ScaLAPACK for computing with symmetric (Hermitian) matrices ...
This paper introduces a novel data structure used to store sparse matrices optimally – minimizing th...
The irregular nature of sparse matrix-vector multiplication, Ax = y, has led to the development of a...
The paper describes a storage scheme for sparse symmetric or nonsymmetric matrices which has b...
An important kernel of scientific software is the multiplication of a sparse matrix by a vector. The...
Sparse matrices are often used in numerical algorithms that solve linear equation systems. Many meth...
Cilem teto prace je poskytnout uceleny prehled dosud publikovanych formatu pro ulozeni ridke matice ...
Over the past few years several proposals have been made for the standardization of sparse matrix st...
Over the past few years several proposals have been made for the standardization of sparse matrix st...
I create a library for storing matrices and working with matrices in this bachelor’s thesis. In this...
The matrix-vector product is one of the most important computational components of Krylov methods. T...
AbstractThis paper studies a sparse configuration for a new class of decomposition derived by the au...
In this work we present a heuristic to select the appropriate compressed storage format when computi...
Abstract. Matlab*P is a flexible interactive system that enables com-putational scientists and engin...
We describe a new extension to ScaLAPACK [2] for computing with symmetric (Hermitian) matrices store...
The authors describe a new extension to ScaLAPACK for computing with symmetric (Hermitian) matrices ...
This paper introduces a novel data structure used to store sparse matrices optimally – minimizing th...
The irregular nature of sparse matrix-vector multiplication, Ax = y, has led to the development of a...