at? Basically
it's sending each optimization problem to a separate worker and getting the
results, taking into account that some optimizations might take much longer
than others.
Cheers,
Ken
On Saturday, 26 July 2014 23:13:28 UTC-5, Charles Martineau wrote:
Yes I could do
parallel multistart.
Check out the parallel map and loops section of the parallel
programming chapter in the Julia manual, I think it'll be clearer there.
On Friday, July 25, 2014 8:00:40 PM UTC-4, Charles Martineau wrote:
Thank you for your answer. So I would have to loop over, say 20 random
Dear Julia developers and users,
I am currently using in Matlab the multisearch algorithm to find multiple
local minima: http://www.mathworks.com/help/gads/multistart-class.html for
a MLE function.
I use this Multisearch in a parallel setup as well.
Can I do something similar in Julia using
points, and do a parallel-map over that set of starting points. Should work
quite well. Trickier (maybe) would be to just give each processor a
different random seed and generate starting points on each processor.
On Friday, July 25, 2014 3:05:05 PM UTC-4, Charles Martineau wrote:
Dear Julia
