Add to ORKGA FORTRAN 77 implementation of a Gauss algorithm with partial pivoting for banded matrices is described. The algorithm keeps only part of the matrix that is necessary for the actual computation in memory. This allows large systems to be solved on machine without virtual memory, or if the virtual memory is too small for the problem
A variable-band relaxation algorithm for solving large linear systems is developed as an alternative...
In many applications, an m × n matrix A is stored on disk and is too large to be read into...
This paper considers elimination methods to solve dense linear systems, in particular a variant of G...
A FORTRAN 77 implementation of a Gauss algorithm with partial pivoting for banded matrices is descri...
In the process of solving the linear epuation by the Gaussian Elimination or other comparable techni...
As the standard method for solving systems of linear equations, Gaussian elimination (GE) is one of ...
[[abstract]]In this paper we use hypercube computers for solving linear systems. First, the pivoting...
AbstractThe solution of linear systems continues to play an important role in scientific computing. ...
AbstractWe propose several implementations of Gaussian elimination for solving banded linear systems...
this paper, we give a block algorithm for the Gauss-Huard elimination. For distributed memory system...
Parallel Gaussian elimination technique for the solution of a system of equations Ax C where A is a ...
Banded linear systems with large bandwidths can be solved by similar methods as full linear systems....
For large scale problems in electric circuit simulation as well as in chemical process simulation, t...
A straightforward and general computer program for assembling and solving (using Gauss elimination t...
The solution of a set of linear algebraic equations has always been a fascinating and challenging fi...
A variable-band relaxation algorithm for solving large linear systems is developed as an alternative...
In many applications, an m × n matrix A is stored on disk and is too large to be read into...
This paper considers elimination methods to solve dense linear systems, in particular a variant of G...
A FORTRAN 77 implementation of a Gauss algorithm with partial pivoting for banded matrices is descri...
In the process of solving the linear epuation by the Gaussian Elimination or other comparable techni...
As the standard method for solving systems of linear equations, Gaussian elimination (GE) is one of ...
[[abstract]]In this paper we use hypercube computers for solving linear systems. First, the pivoting...
AbstractThe solution of linear systems continues to play an important role in scientific computing. ...
AbstractWe propose several implementations of Gaussian elimination for solving banded linear systems...
this paper, we give a block algorithm for the Gauss-Huard elimination. For distributed memory system...
Parallel Gaussian elimination technique for the solution of a system of equations Ax C where A is a ...
Banded linear systems with large bandwidths can be solved by similar methods as full linear systems....
For large scale problems in electric circuit simulation as well as in chemical process simulation, t...
A straightforward and general computer program for assembling and solving (using Gauss elimination t...
The solution of a set of linear algebraic equations has always been a fascinating and challenging fi...
A variable-band relaxation algorithm for solving large linear systems is developed as an alternative...
In many applications, an m × n matrix A is stored on disk and is too large to be read into...
This paper considers elimination methods to solve dense linear systems, in particular a variant of G...