AbstractPopular methods for the integration of a stiff initial-value problem for a system of ordinary differential equations (ODEs) require the solution of systems of linear equations. It is shown that the matrices are very ill-conditioned. Implicit linear multistep methods (LMMs) can be evaluated accurately by iteration, even when the matrices are very ill-conditioned. Although semi-implicit methods do not involve iteration, it is observed that codes based on these methods cope with ill-conditioned matrices about as well as codes based on LMMs. An explanation is provided for this fact
The aim of this paper is to analyze the stability properties of semi-implicit methods (such as Rosen...
In many applications, large systems of ordinary differential equations (ODEs) have to be solved nume...
Abstract. The accuracy of adaptive integration algorithms for solving stiff ODE is investigated. The...
AbstractPopular methods for the integration of a stiff initial-value problem for a system of ordinar...
AbstractA model is presented for stability for an extension of linear multistep methods for stiff or...
We consider implicit integration methods for the numerical solution of stiff initial-value problems....
We consider implicit integration methods for the numerical solution of stiff initial-value problems....
AbstractWe consider implicit integration methods for the numerical solution of stiff initial-value p...
The numerical solution of stiff initial value problems, which lead to the problem of solving large s...
The purpose of this work lies in the writing of efficient and optimized Matlab codes to implement tw...
The purpose of this work lies in the writing of efficient and optimized Matlab codes to implement tw...
The purpose of this work lies in the writing of efficient and optimized Matlab codes to implement tw...
AbstractWe consider implicit integration methods for the numerical solution of stiff initial-value p...
The purpose of this work lies in the writing of efficient and optimized Matlab codes to implement tw...
AbstractSeveral effective codes for the solution of stiff ordinary differential equations (ODEs) are...
The aim of this paper is to analyze the stability properties of semi-implicit methods (such as Rosen...
In many applications, large systems of ordinary differential equations (ODEs) have to be solved nume...
Abstract. The accuracy of adaptive integration algorithms for solving stiff ODE is investigated. The...
AbstractPopular methods for the integration of a stiff initial-value problem for a system of ordinar...
AbstractA model is presented for stability for an extension of linear multistep methods for stiff or...
We consider implicit integration methods for the numerical solution of stiff initial-value problems....
We consider implicit integration methods for the numerical solution of stiff initial-value problems....
AbstractWe consider implicit integration methods for the numerical solution of stiff initial-value p...
The numerical solution of stiff initial value problems, which lead to the problem of solving large s...
The purpose of this work lies in the writing of efficient and optimized Matlab codes to implement tw...
The purpose of this work lies in the writing of efficient and optimized Matlab codes to implement tw...
The purpose of this work lies in the writing of efficient and optimized Matlab codes to implement tw...
AbstractWe consider implicit integration methods for the numerical solution of stiff initial-value p...
The purpose of this work lies in the writing of efficient and optimized Matlab codes to implement tw...
AbstractSeveral effective codes for the solution of stiff ordinary differential equations (ODEs) are...
The aim of this paper is to analyze the stability properties of semi-implicit methods (such as Rosen...
In many applications, large systems of ordinary differential equations (ODEs) have to be solved nume...
Abstract. The accuracy of adaptive integration algorithms for solving stiff ODE is investigated. The...