CIFASIS   20631
CENTRO INTERNACIONAL FRANCO ARGENTINO DE CIENCIAS DE LA INFORMACION Y DE SISTEMAS
Unidad Ejecutora - UE
artículos
Título:
Linearly Implicit Quantization-Based Integration Methods for Stiff Ordinary Differential Equations
Autor/es:
MIGONI, GUSTAVO; MARIO BORTOLOTTO; ERNESTO KOFMAN; FRANÇOIS CELLIER
Revista:
SIMULATION MODELLING PRACTICE AND THEORY
Editorial:
ELSEVIER SCIENCE BV
Referencias:
Lugar: Amsterdam; Año: 2013 vol. 35 p. 118 - 136
ISSN:
1569-190X
Resumen:
In this paper, new integration methods for stiff ordinary differential equations (ODEs) are developed. Following the idea of quantization--based integration (QBI), i.e., replacing the time discretization by state quantization, the proposed algorithms generalize the idea of linearly implicit algorithms. Also, the implementation of the new algorithms in a DEVS simulation tool is discussed. The efficiency of these new methods is verified by comparing their performance in the simulation of two benchmark problems with that of other numerical stiff ODE solvers. In particular, the advantages of these new algorithms for the simulation of electronic circuits are  demonstrated.