To solve ODE systems with different time scales which are localized over the components, multirate time stepping is examined. In this paper we introduce a self-adjusting multirate time stepping strategy, in which the step size for a particular component is determined by its own local temporal variation, instead of using a single step size for the whole system. We primarily consider implicit time stepping methods, suitable for stiff or mildly stiff ODEs. Numerical results with our multirate strategy are presented for several test problems. Comparisons with the corresponding single-rate schemes show that substantial gains in computational work and CPU times can be obtained
Multirate time stepping is a numerical technique for efficiently solving large-scale ordinary differ...
AbstractMultirate time stepping is a numerical technique for efficiently solving large-scale ordinar...
For large systems of ordinary differential equations (ODEs), some components may show a more active ...
To solve ODE systems with different time scales which are localized over the components, multirate t...
To solve ODE systems with different time scales which are localized over the components, multirate t...
To solve ODE systems with different time scales which are localized over the components, multirate t...
To solve ODE systems with different time scales which are localized over the components, multirate t...
To solve ODE systems with different time scales which are localized over the components, multirate t...
To solve ODE systems with different time scales which are localized over the compo-nents, multirate ...
textabstractTo solve ODEs with different time scales which are localized over the components, multir...
Multirate time stepping is a numerical technique for efficiently solving large-scale ordinary differ...
Multirate time stepping is a numerical technique for efficiently solving large-scale ordinary differ...
Multirate time stepping is a numerical technique for efficiently solving large-scale ordinary differ...
Multirate time stepping is a numerical technique for efficiently solving large-scale ordinary differ...
To solve ODEs with different time scales which are localized over the components, multirate time ste...
Multirate time stepping is a numerical technique for efficiently solving large-scale ordinary differ...
AbstractMultirate time stepping is a numerical technique for efficiently solving large-scale ordinar...
For large systems of ordinary differential equations (ODEs), some components may show a more active ...
To solve ODE systems with different time scales which are localized over the components, multirate t...
To solve ODE systems with different time scales which are localized over the components, multirate t...
To solve ODE systems with different time scales which are localized over the components, multirate t...
To solve ODE systems with different time scales which are localized over the components, multirate t...
To solve ODE systems with different time scales which are localized over the components, multirate t...
To solve ODE systems with different time scales which are localized over the compo-nents, multirate ...
textabstractTo solve ODEs with different time scales which are localized over the components, multir...
Multirate time stepping is a numerical technique for efficiently solving large-scale ordinary differ...
Multirate time stepping is a numerical technique for efficiently solving large-scale ordinary differ...
Multirate time stepping is a numerical technique for efficiently solving large-scale ordinary differ...
Multirate time stepping is a numerical technique for efficiently solving large-scale ordinary differ...
To solve ODEs with different time scales which are localized over the components, multirate time ste...
Multirate time stepping is a numerical technique for efficiently solving large-scale ordinary differ...
AbstractMultirate time stepping is a numerical technique for efficiently solving large-scale ordinar...
For large systems of ordinary differential equations (ODEs), some components may show a more active ...