AbstractAn efficient algorithm for the numerical integration of large sparse systems of stiff initial value ordinary differential equations (ODEs) and differential-algebraic equations (DAEs) is described. The algorithm is constructed by embedding a standard sparse linear algebraic equation solver into a suitably modified MEBDF code. An important practical application of this algorithm is in the numerical solution of time dependent partial differential equations (PDEs), particularly in two or more space dimensions, using the method of lines (MOL). A code based on this algorithm is illustrated by application to several problems of practical interest and its performance is compared to that of the standard code LSODES
SIGLEAvailable from British Library Document Supply Centre- DSC:DX97958 / BLDSC - British Library Do...
This thesis is concerned with the solution of large systems of linear algebraic equations in which t...
In this thesis, the design of the preconditioners we propose starts from applications instead of tre...
This paper implements efficient numerical methods in Maple to solve index-1 nonlinear Differential A...
Numerical methods for partial differential equations in high-dimensional spaces are often limited by...
AbstractA class of modified extended backward differentiation formulae (MEBDF) suitable for the appr...
The use of implicit methods for numerically solving stiff systems of differential equations requires...
AbstractThe use of implicit methods for numerically solving stiff systems of differential equations ...
Parallelizable numerical methods for solving large scale DAE systems are developed at the level of d...
Solving large, sparse systems of linear equations of the form Ax b is a key com-ponent in many scie...
AbstractA group of algorithms for the numerical solution of elliptic partial differential equations ...
In this paper we review several methods for solving large sparse linear systems arising from discret...
Abstract. Iterative linear equation solvers have been shown to be effective in codes for large syste...
In the second edition of this classic monograph, complete with four new chapters and updated referen...
The numerical solutions of stiff ordinary differential equations and differential algebraic equation...
SIGLEAvailable from British Library Document Supply Centre- DSC:DX97958 / BLDSC - British Library Do...
This thesis is concerned with the solution of large systems of linear algebraic equations in which t...
In this thesis, the design of the preconditioners we propose starts from applications instead of tre...
This paper implements efficient numerical methods in Maple to solve index-1 nonlinear Differential A...
Numerical methods for partial differential equations in high-dimensional spaces are often limited by...
AbstractA class of modified extended backward differentiation formulae (MEBDF) suitable for the appr...
The use of implicit methods for numerically solving stiff systems of differential equations requires...
AbstractThe use of implicit methods for numerically solving stiff systems of differential equations ...
Parallelizable numerical methods for solving large scale DAE systems are developed at the level of d...
Solving large, sparse systems of linear equations of the form Ax b is a key com-ponent in many scie...
AbstractA group of algorithms for the numerical solution of elliptic partial differential equations ...
In this paper we review several methods for solving large sparse linear systems arising from discret...
Abstract. Iterative linear equation solvers have been shown to be effective in codes for large syste...
In the second edition of this classic monograph, complete with four new chapters and updated referen...
The numerical solutions of stiff ordinary differential equations and differential algebraic equation...
SIGLEAvailable from British Library Document Supply Centre- DSC:DX97958 / BLDSC - British Library Do...
This thesis is concerned with the solution of large systems of linear algebraic equations in which t...
In this thesis, the design of the preconditioners we propose starts from applications instead of tre...