VODE: a variable-coefficient ODE solver
SIAM Journal on Scientific and Statistical Computing
Analysis of some Krylov subspace approximations to the matrix exponential operator
SIAM Journal on Numerical Analysis
Using MPI: portable parallel programming with the message-passing interface
Using MPI: portable parallel programming with the message-passing interface
Piecewise-linearized methods for initial-value problems
Applied Mathematics and Computation
ScaLAPACK user's guide
Expokit: a software package for computing matrix exponentials
ACM Transactions on Mathematical Software (TOMS)
Algorithm 407: DIFSUB for solution of ordinary differential equations [D2]
Communications of the ACM
Solving ODEs with MATLAB
A Proposal for a Set of Parallel Basic Linear Algebra Subprograms
A Proposal for a Set of Parallel Basic Linear Algebra Subprograms
LAPACK Working Note 37: Two Dimensional Basic Linear Algebra Communication Subprograms
LAPACK Working Note 37: Two Dimensional Basic Linear Algebra Communication Subprograms
LSODE and LSODI, two new initial value ordinary differnetial equation solvers
ACM SIGNUM Newsletter
On the closed representation for the inverses of Hessenberg matrices
Journal of Computational and Applied Mathematics
Hi-index | 7.29 |
Numerical methods for solving Ordinary Differential Equations (ODEs) have received considerable attention in recent years. In this paper a piecewise-linearized algorithm based on Krylov subspaces for solving Initial Value Problems (IVPs) is proposed. MATLAB versions for autonomous and non-autonomous ODEs of this algorithm have been implemented. These implementations have been compared with other piecewise-linearized algorithms based on Pade approximants, recently developed by the authors of this paper, comparing both precisions and computational costs in equal conditions. Four case studies have been used in the tests that come from stiff biology and chemical kinetics problems. Experimental results show the advantages of the proposed algorithms, especially when the dimension is increased in stiff problems.