We consider the use of software for the direct solution of sparse linear equations within a stiff integration package which uses extrapolation techniques. We discuss the effect of varying the frequency of matrix decompositions and of altering the pivoting strategy. We compare the use of two sparse matrix packages, NSPFAC (Sherman, 1978) and MA28 (Duff, 1977), within the chemical kinetics package LARKIN (Deuflhard et al., 1983). 1
This paper describes two portable packages for general-purpose sparse matrix computations: SPARSKIT...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
AbstractOver the past several years a number of research-oriented software packages for solving larg...
AbstractThe use of implicit methods for numerically solving stiff systems of differential equations ...
The use of implicit methods for numerically solving stiff systems of differential equations requires...
This paper describes implementations of eight algorithms of Newton and quasi-Newton type for solving...
AbstractThis paper considers the effect of partial pivoting in automatic ordinary differential equat...
An oblique projection method is adapted to solve large, sparse, unstructured systems of linear equat...
Out-of-core sparse direct solvers reduce the amount of main memory needed to factorize and solve lar...
Implicit integrators are very useful in efficiently solving stiff systems of ODEs arising from atmos...
AbstractLarge systems of linear ordinary differential equations appear in a natural way in many fiel...
Thesis (B.S.) in Chemical Engineering--University of Illinois at Urbana-Champaign, 1978.Includes bib...
Multiphysics simulations are at the core of modern Computer Aided Engineering (CAE) allowing the ana...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
In this thesis I present the software packages Diffpack, a tool for solving partial differential equ...
This paper describes two portable packages for general-purpose sparse matrix computations: SPARSKIT...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
AbstractOver the past several years a number of research-oriented software packages for solving larg...
AbstractThe use of implicit methods for numerically solving stiff systems of differential equations ...
The use of implicit methods for numerically solving stiff systems of differential equations requires...
This paper describes implementations of eight algorithms of Newton and quasi-Newton type for solving...
AbstractThis paper considers the effect of partial pivoting in automatic ordinary differential equat...
An oblique projection method is adapted to solve large, sparse, unstructured systems of linear equat...
Out-of-core sparse direct solvers reduce the amount of main memory needed to factorize and solve lar...
Implicit integrators are very useful in efficiently solving stiff systems of ODEs arising from atmos...
AbstractLarge systems of linear ordinary differential equations appear in a natural way in many fiel...
Thesis (B.S.) in Chemical Engineering--University of Illinois at Urbana-Champaign, 1978.Includes bib...
Multiphysics simulations are at the core of modern Computer Aided Engineering (CAE) allowing the ana...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
In this thesis I present the software packages Diffpack, a tool for solving partial differential equ...
This paper describes two portable packages for general-purpose sparse matrix computations: SPARSKIT...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
AbstractOver the past several years a number of research-oriented software packages for solving larg...