Analytic expressions for finding fill-in, the number of nonzero elements that change in value, and the number of “long operations” during each step of the L U decomposition are given. A new optimal pivot ordering algorithm is proposed which leads to a reduction of the overall fill-in and long operation count. Comparison is made with two other known algorithms
Parallel algorithms for triangularization of large, sparse, and unsymmetric matrices are presented. ...
This paper focuses on efficiently solving large sparse symmetric indefinite systems of linear equati...
In this thesis, we present four algorithms for solving sparse nonlinear systems of equations: the pa...
The coefficient matrix of a very large system of equations is generally very sparse, i. e., non-zero...
In the process of solving the linear epuation by the Gaussian Elimination or other comparable techni...
This paper focuses on efficiently solving large sparse symmetric indefinite systems of linear equati...
\u3cp\u3eThis paper focuses on efficiently solving large sparse symmetric indefinite systems of line...
This paper focuses on efficiently solving large sparse symmetric indefinite systems of linear equati...
This paper describes implementations of eight algorithms of Newton and quasi-Newton type for solving...
We consider the use of 1 x 1 and 2x2 pivots for direct solution of sets of linear equations whose ma...
In this paper it is investigated which pivots may be processed simultaneously when solving a set of ...
Local algorithms for obtaining a pivot ordering for sparse symmetric coefficient matrices are review...
When performing sparse matrix factorization, the ordering of matrix rows and columns has a dramatic ...
We present a family of ordering algorithms that can be used as a preprocessing step prior to perform...
. Envelope methods for solving sparse systems of linear equations require the matrix to be reordered...
Parallel algorithms for triangularization of large, sparse, and unsymmetric matrices are presented. ...
This paper focuses on efficiently solving large sparse symmetric indefinite systems of linear equati...
In this thesis, we present four algorithms for solving sparse nonlinear systems of equations: the pa...
The coefficient matrix of a very large system of equations is generally very sparse, i. e., non-zero...
In the process of solving the linear epuation by the Gaussian Elimination or other comparable techni...
This paper focuses on efficiently solving large sparse symmetric indefinite systems of linear equati...
\u3cp\u3eThis paper focuses on efficiently solving large sparse symmetric indefinite systems of line...
This paper focuses on efficiently solving large sparse symmetric indefinite systems of linear equati...
This paper describes implementations of eight algorithms of Newton and quasi-Newton type for solving...
We consider the use of 1 x 1 and 2x2 pivots for direct solution of sets of linear equations whose ma...
In this paper it is investigated which pivots may be processed simultaneously when solving a set of ...
Local algorithms for obtaining a pivot ordering for sparse symmetric coefficient matrices are review...
When performing sparse matrix factorization, the ordering of matrix rows and columns has a dramatic ...
We present a family of ordering algorithms that can be used as a preprocessing step prior to perform...
. Envelope methods for solving sparse systems of linear equations require the matrix to be reordered...
Parallel algorithms for triangularization of large, sparse, and unsymmetric matrices are presented. ...
This paper focuses on efficiently solving large sparse symmetric indefinite systems of linear equati...
In this thesis, we present four algorithms for solving sparse nonlinear systems of equations: the pa...