We consider direct methods for the numerical solution of linear systems with unsymmetric sparse matrices. Different strategies for the determination of the pivots are studied. For solving several linear systems with the same pattern structure we generate a pseudo code, that can be interpreted repeatedly to compute the solutions of these systems. The pseudo code can be advantageously adapted to vector and parallel computers. For that we have to find out the instructions of the pseudo code which are independent of each other. Based on this information, one can determine vector instructions for the pseudo code operations (vectorization) or spread the operations among different processors (parallelization). The methods are successfully used on ...
42 pages, available as LIP research report RR-2009-15Numerical linear algebra and combinatorial opti...
This book is primarily intended as a research monograph that could also be used in graduate courses ...
This paper provides an introduction to algorithms for fundamental linear algebra problems on various...
For large scale problems in electric circuit simulation as well as in chemical process simulation, t...
Based on a hierarchical modular modeling the large nonlinear systems of differential algebraic equat...
AbstractThe solution of linear systems continues to play an important role in scientific computing. ...
AbstractThis paper gives a classification for the triangular factorization of square matrices. These...
In this paper it is investigated which pivots may be processed simultaneously when solving a set of ...
Based on a hierarchical modular modeling the large nonlinear systems of differential algebraic equat...
Parallel algorithms for triangularization of large, sparse, and unsymmetric matrices are presented. ...
The need to solve large sparse linear systems of equations efficiently lies at the heart of many app...
In this review paper, we consider some important developments and trends in algorithm design for t...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
We present a collection of public-domain Fortran 77 routines for the solution of systems of linear e...
This paper provides an introduction to algorithms for fundamental linear algebra problems on various...
42 pages, available as LIP research report RR-2009-15Numerical linear algebra and combinatorial opti...
This book is primarily intended as a research monograph that could also be used in graduate courses ...
This paper provides an introduction to algorithms for fundamental linear algebra problems on various...
For large scale problems in electric circuit simulation as well as in chemical process simulation, t...
Based on a hierarchical modular modeling the large nonlinear systems of differential algebraic equat...
AbstractThe solution of linear systems continues to play an important role in scientific computing. ...
AbstractThis paper gives a classification for the triangular factorization of square matrices. These...
In this paper it is investigated which pivots may be processed simultaneously when solving a set of ...
Based on a hierarchical modular modeling the large nonlinear systems of differential algebraic equat...
Parallel algorithms for triangularization of large, sparse, and unsymmetric matrices are presented. ...
The need to solve large sparse linear systems of equations efficiently lies at the heart of many app...
In this review paper, we consider some important developments and trends in algorithm design for t...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
We present a collection of public-domain Fortran 77 routines for the solution of systems of linear e...
This paper provides an introduction to algorithms for fundamental linear algebra problems on various...
42 pages, available as LIP research report RR-2009-15Numerical linear algebra and combinatorial opti...
This book is primarily intended as a research monograph that could also be used in graduate courses ...
This paper provides an introduction to algorithms for fundamental linear algebra problems on various...