[R-sig-dyn-mod] memory issues with lsoda
Hi, lsoda etc. can use resp. numerically estimate the Jacobian. This speeds considerably up, at the cost of a much higher memory footprint. The Runge-Kuttas don't make use of the Jacobian, so they are less memory consuming but (in most cases) slower. Thomas P. Am 04.07.2017 um 12:45 schrieb Rampal S. Etienne:
Hi, When trying desolve with lsoda, I often get an error saying that I use lots of memory, e.g. Error in lsoda(y, times, func, parms, ...) : cannot allocate memory block of size 134217728 Tb In addition: Warning message: In lsoda(y, times, func, parms, ...) :NAs introduced by coercion to integer range With a different solver (e.g. ode45), I don't get this problem. What is different in these methods that they use the memory so differently, and can the lsoda error somehow be fixed? Cheers, Rampal