Files of this talk (zip)
In this talk we will discuss the motivation for use of a symbolic
engine, such as Maple, as a preprocessor for numerical ODE system
solution.
Some issues relating to scalability for larger models will be discussed,
including derivative ranking (solving order), redundancy equation
detection, and use of implicit form subsystems (for dense parts of the
input system). |