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1
vote
1answer
66 views
LU Decomposition with memory-mapped matrices
I have a ~4.12 Tb structured relatively-sparse matrix dataset (about 8% of the matrix entries are non-zero) that i want to apply an LU decomposition, however, given the size of it, loading it in ...
7
votes
2answers
124 views
For which statistical methods are GPUs faster than CPUs?
I have just installed a Nvidia GT660 graphic card on my desktop
and, after some struggle, I manage to interface it with R.
I have been playing with several R packages that use GPUs,
especially ...
3
votes
3answers
98 views
How to avoid NaN in optim?
Suppose, I have a function and want to optimize it. But if I use optim() which gives warnings(). How can I avoid these warnings ...
1
vote
0answers
50 views
Calculating AIC (in R or any other statistical software)
I am trying to fit the log-log plot of the cumulative distribution of a network to one of three models: Exponential (EXP) ($P(k)\sim e^{-ak}$), Exponentially truncated power law (TRU) ($P(k)\sim ...
4
votes
3answers
411 views
Storing a large, sparse array for R and Python
I've been working in R but sometimes switching to python. I'd like a more inter-language portable way of storing a large array than a csv file. (The particular csv file I'm dealing with is about 10^6 ...
5
votes
1answer
106 views
complexity constants in median computations same as that of general quantiles?
I would like to know whether the constant
in the time complexity of computing the median
is different from that of computing general quantiles.
In R for example:
...