VODE: a variable-coefficient ODE solver
SIAM Journal on Scientific and Statistical Computing
A variable order Runge-Kutta method for initial value problems with rapidly varying right-hand sides
ACM Transactions on Mathematical Software (TOMS)
Numerical recipes in FORTRAN (2nd ed.): the art of scientific computing
Numerical recipes in FORTRAN (2nd ed.): the art of scientific computing
An MEBDF code for stiff initial value problems
ACM Transactions on Mathematical Software (TOMS)
Applied Numerical Mathematics - Selected papers on eighth conference on the numerical treatment of differential equations 1-5 September 1997, Alexisbad, Germany
The BiM code for the numerical solution of ODEs
Journal of Computational and Applied Mathematics - Special Issue: Proceedings of the 10th international congress on computational and applied mathematics (ICCAM-2002)
Blended implicit methods for the numerical solution of DAE problems
Journal of Computational and Applied Mathematics
Reactive transport in aquatic ecosystems: Rapid model prototyping in the open source software R
Environmental Modelling & Software
Solving Differential Equations in R
Solving Differential Equations in R
Hi-index | 7.29 |
In this paper we present the R package deTestSet that includes challenging test problems written as ordinary differential equations (ODEs), differential algebraic equations (DAEs) of index up to 3 and implicit differential equations (IDEs). In addition it includes 6 new codes to solve initial value problems (IVPs). The R package is derived from the Test Set for Initial Value Problem Solvers available at http://www.dm.uniba.it/~testset which includes documentation of the test problems, experimental results from a number of proven solvers, and Fortran subroutines providing a common interface to the defining problem functions. Many of these facilities are now available in the R package deTestSet, which comprises an R interface to the test problems and to most of the Fortran solvers. The package deTestSet is free software which is distributed under the GNU General Public License, as part of the R open source software project.