CSOLNP is working quite nicely in general, but I have a few circumstances where things go dramatically wrong and crash my machine (hard reboot needed) due to excess memory usage if I don't notice fast enough. This doesn't occur when using npsol. With the earlier memory usage issues ( http://openmx.psyc.virginia.edu/thread/2551 ) memory usage increased gradually, but in this case it seems much more sudden.
A problem model can be downloaded from:
test <- mxRun(memprobmodel, intervals=T)
edit: I don't know specifically what causes the issue, but I'm making extensive use of algebra, exponential functions, and definition variables.
editedit: problem *does* still exist even with latest updates (26-8-2014). so far I only experience it when calculating confidence intervals. With the above model, after a few minutes of fitting with memory usage at a couple of hundred mb, it suddenly starts going up very rapidly. The problem occurs on more than 1 pc.