Add to ORKGKLU is a set of routines for solving sparse linear systems of equations. It is particularly well-suited to matrices arising in SPICE-like circuit simulation applications. It relies on a permutation to block triangular form (BTF), several methods for finding a fill-reducing ordering (variants of approximate minimum degree, and nested dissection), and a sparse left-looking LU factorization method to factorize each block. A MATLAB interface is included. KLU appears as Collected Algorithm 907 of the ACM [9]
AbstractWe describe a set of procedures for computing and updating an LU factorization of a sparse m...
Krylov methods are considered as one of the most popular classes of numerical methods to solve large...
ML is a multigrid preconditioning package intended to solve linear systems of equations is a use...
In this thesis we will present an effective method for solving systems of linear equations with larg...
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Abstract. Numerical linear algebra and combinatorial optimization are vast subjects; as is their int...
This paper proposes a set of Level 3 Basic Linear Algebra Subprograms and associated kernels for sp...
This paper describes a domain-based multi-level block ILU preconditioner (BILUTM) for solving genera...
For large scale problems in electric circuit simulation as well as in chemical process simulation, t...
We give an overview of the algorithms, design philosophy, and implementation techniques in the soft...
The University of Florida Sparse Matrix Collection is a large, widely available, and actively growin...
The solution of nearly square overdetermined linear systems is studied. The sparse QR technique is c...
. For a sparse linear system Ax = b, preconditioners of the form C = D + L + U , where D is the blo...
This book presents classroom-tested material on computational linear algebra and its application to ...
In this chapter we will present an overview of a number of related iterative methods for the solutio...
AbstractWe describe a set of procedures for computing and updating an LU factorization of a sparse m...
Krylov methods are considered as one of the most popular classes of numerical methods to solve large...
ML is a multigrid preconditioning package intended to solve linear systems of equations is a use...
In this thesis we will present an effective method for solving systems of linear equations with larg...
This document describes a collection of three related ANSI C subroutine libraries for solving sparse...
Abstract. Numerical linear algebra and combinatorial optimization are vast subjects; as is their int...
This paper proposes a set of Level 3 Basic Linear Algebra Subprograms and associated kernels for sp...
This paper describes a domain-based multi-level block ILU preconditioner (BILUTM) for solving genera...
For large scale problems in electric circuit simulation as well as in chemical process simulation, t...
We give an overview of the algorithms, design philosophy, and implementation techniques in the soft...
The University of Florida Sparse Matrix Collection is a large, widely available, and actively growin...
The solution of nearly square overdetermined linear systems is studied. The sparse QR technique is c...
. For a sparse linear system Ax = b, preconditioners of the form C = D + L + U , where D is the blo...
This book presents classroom-tested material on computational linear algebra and its application to ...
In this chapter we will present an overview of a number of related iterative methods for the solutio...
AbstractWe describe a set of procedures for computing and updating an LU factorization of a sparse m...
Krylov methods are considered as one of the most popular classes of numerical methods to solve large...
ML is a multigrid preconditioning package intended to solve linear systems of equations is a use...