Dear Andre,
some people would be happy to assist you, but your code fragment is
incomplete, so diagnosing your problem was impossible. Please read the
posting guide and provide a minimum reproducible example.
Furthermore I wonder why you use dede and not ode, and why sum() with
empty parenth
None of this is surprising. If the calculations you divide your work up
into are small, then the overhead of communicating between parallel
processes will be a relatively large penalty to pay. You have to break
your problem up into larger chunks and depend on vector processing within
processes
Le samedi 17 octobre 2015 à 17:18 +0100, Chris Evans a écrit :
> I think I am failing to understand how boot() uses the parallel
> package on linux machines, using R 3.2.2 on three different machines
> with 2, 4 and 8 cores all results in a slow down if I use "multicore"
> and "ncpus". Here's the
I think I am failing to understand how boot() uses the parallel package on
linux machines, using R 3.2.2 on three different machines with 2, 4 and 8 cores
all results in a slow down if I use "multicore" and "ncpus". Here's the code
that creates a very simple reproducible example:
bootReps <- 5
Dear all,
I am looking for a function to select the N closest neighbors (in terms of
distance) of a vertex in igraph.
Assume for example N=7. If the vertex has 3 direct neighbors, I would like
that the function selects those 3 plus a random 4 among the second degree
neighbors.
Is there some way
Your model is producing -Inf entries in the vector Be (in function modl and LL)
at some stage during the optimization process.
You should first do something about that before anything else.
Berend
> On 17 Oct 2015, at 03:01, Bert Gunter wrote:
>
> I made no attempt to examine your details fo
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