Unless there is someone on the list who has solved that equation before it will be hard to say what exactly works. I would first try with ODE.jl as that should be fast to code. If it does not work then use Sundials.jl.
Alternatively, first use Sundials.jl, then using ODE.jl should be trivial. On Thu, 2015-05-07 at 13:23, Andrei Berceanu <[email protected]> wrote: > ok, so the system under discussion is this one: > http://scicomp.stackexchange.com/questions/19585/system-of-coupled-nonlinear-odes-with-complex-coefficients > i think the choice basically comes down to either > > a) an explicit RK method in ODE.jl or > b) CVODE(S) in Sundials.jl > > What do you guys suggest based on your experience? a) has the advantage > that it is a pure Julia solution, but not production ready. > b) seems more reliable but indeed it seems to only solve equations with > real coefficients. > > On Thursday, May 7, 2015 at 7:12:40 AM UTC+2, Mauro wrote: >> >> > Any suggestions for solving a nonlinear system of ~1000 coupled ODEs >> with >> > complex coefficients? >> >> Try your luck with the ODE solvers: ODE.jl, DASSL.jl and Sundials.jl. >> For sundials you will probably have to split the equations into real and >> imaginary part. >>
