I want to vectorize by hand some C code, in order to it speedup. For that purpose (SPE on the Cell processor or CBE) I want to use SIMD math. The code originally uses some physical vector calculations
Take this simple example: a = [1 2i]; x = zeros(1,length(a)); for n=1:length(a) x(n) = isreal(a(n)); end In an attempt to vectorize the code, I tried:
Whenever I want to do something \"map\"py in R, I usually try to use a function in the apply family.
numpy.vectorize takes a function f:a->b and turns it into g:a[]->b[]. This works fine when a and b are scalars, but I can\'t think of a reason why it wouldn\'t work with b as an ndarray or list,
Imagine you have a very long sequence. What is the most efficient way of finding the intervals where the sequence is all zeros (or more precisely the sequence drops to near-zero values abs(X)<eps):
in my project I\'m making use of Eigen C++ library for linear algebra and ONLY when I turn on the vectorization flags (mfpu=neon -mfloat-abi=softfp) for ARM NEON, I get compiler errors. I\'m not able
So what I am trying to do with this code is find all pixels on a line of an image that are below a certain threshold. The problem, however, is that this code is executed in a double for loop (yeah I k
I would like to convert images that have been uploaded by the user (in various formats and conditions) to a vector image format such as .eps. I\'m primarily开发者_运维知识库 working in PHP.
I have two cell arrays of strings, and I want to check if they contain the same strings (they do not have to be in the same order, nor do we know if they are of the same lengths).
HI All, I\'m new to R. I have two panel data files, with columns \"id\", \"date\" and \"ret\" file A has a lot more data than file B,
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