Just to add to that, I think one of the main reasons is that fact that as the integration time step size decreases (as per the algorithm requirements) the variable x that is interpolated is assumed to have a constant value, which makes the integration faster (as it is easier to solve). I observed large integration times of x as having constant values.
use of interp1 in ode solver: computational speed issues
1 Ansicht (letzte 30 Tage)
Ältere Kommentare anzeigen
Why when using matlab's function interp1 to get suitable values of a variable, x, in an ode solver (e.g. ode15s), causes a substantial decrease in computational time needed to get the final result of integrated values as the number of points in x increases? Is there a quick solution that avoids having a coarser representation (as compared to the integration time step) in order to increase computational speed?
Thank you,
Yiannis
Antworten (0)
Siehe auch
Kategorien
Mehr zu Ordinary Differential Equations finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!