Artículos de revistas
Linearly Implicit Quantization-Based Integration Methods for Stiff Ordinary Differential Equations
Fecha
2013-05-03Registro en:
Migoni, Gustavo Andres; Bortolotto López, Mario Luciano; Kofmam, Ernesto; Cellier, François; Linearly Implicit Quantization-Based Integration Methods for Stiff Ordinary Differential Equations; Elsevier; Simulation Modelling Practice and Theory; 35; 03-5-2013; 118-136
1569-190X
Autor
Migoni, Gustavo Andres
Bortolotto López, Mario Luciano
Kofmam, Ernesto
Cellier, François
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. <br />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.