Efficiency in solving differential equations is improved by increasing the order of a Taylor series approximation. Computing time can be reduced up to a factor of 40 and an amount of memory storage can be saved, up to a factor of 70. The truncation error can be estimated not only by order but also by magnitude
This paper is one of a series underpinning the authors’ DAETS code for solving DAE initial value pro...
Abstract: Problem statement: The conventional methods of solving higher order differential equations...
Abstract. Numerical approximation of the solution of partial differential equations plays an importa...
Efficiency in solving differential equations is improved by increasing the order of a Taylor series ...
The Taylor series method is one of the earliest analytic-numeric algorithms for approximate solution...
The objective of this work is to get familiar with numerical solution of differential equations. The...
AbstractProblem-dependent upper and lower bounds are given for the stepsize taken by long Taylor ser...
AbstractThe Taylor series method is one of the earliest analytic-numeric algorithms for approximate ...
A new integration algorithm is found, and an implementation is compared with other programmed algori...
This article deals with a high order integration method based on the Taylor series. The paper shows ...
Nearly 20 years ago we produced a treatise (of about the same length as this book) entitled Computin...
A method for obtaining numerical solutions to initial value problems by implementing a generalized m...
An error estimate of optimal order is established for the correspondingnumerical solutions in a scal...
Abstract: The problem is to calculate an approximate solution of an initial value problem for an aut...
peer reviewedWe provide a primer to numerical methods based on Taylor series expansions such as gene...
This paper is one of a series underpinning the authors’ DAETS code for solving DAE initial value pro...
Abstract: Problem statement: The conventional methods of solving higher order differential equations...
Abstract. Numerical approximation of the solution of partial differential equations plays an importa...
Efficiency in solving differential equations is improved by increasing the order of a Taylor series ...
The Taylor series method is one of the earliest analytic-numeric algorithms for approximate solution...
The objective of this work is to get familiar with numerical solution of differential equations. The...
AbstractProblem-dependent upper and lower bounds are given for the stepsize taken by long Taylor ser...
AbstractThe Taylor series method is one of the earliest analytic-numeric algorithms for approximate ...
A new integration algorithm is found, and an implementation is compared with other programmed algori...
This article deals with a high order integration method based on the Taylor series. The paper shows ...
Nearly 20 years ago we produced a treatise (of about the same length as this book) entitled Computin...
A method for obtaining numerical solutions to initial value problems by implementing a generalized m...
An error estimate of optimal order is established for the correspondingnumerical solutions in a scal...
Abstract: The problem is to calculate an approximate solution of an initial value problem for an aut...
peer reviewedWe provide a primer to numerical methods based on Taylor series expansions such as gene...
This paper is one of a series underpinning the authors’ DAETS code for solving DAE initial value pro...
Abstract: Problem statement: The conventional methods of solving higher order differential equations...
Abstract. Numerical approximation of the solution of partial differential equations plays an importa...