This question already has answers here: Closed 11 years ago. Possible Duplicate: MATLAB: How to vector-multiply two arrays of matrices?
I am using Automatic Vectorization of compiler to generate the vectorized Code. For. e.g. for (i = 0; i < 20; i++)
When calling norm on a matrix in MATLAB, it returns what\'s known as a \"matrix norm\" (a scalar value), instead of an array of vector norms. Is there any way to obtain the norm of each vector in a m开
I\'m trying to speed up/vectorize some calculations in a time series. Can I vectorize a calculation in a for loop which can depend on results from an earlier iteration? For example:
I have a 1 x n array. I would like to check whether each element is greater than its five consequent elements. That is, i>i+1 & i>i+2 & i>i+3 & i>i+4 & i>i+5.
I was trying to vectorize a loop that contains the use of the \'pow\' function in the math library. I am aware intel compiler supports use of \'pow\' for sse instructions - but I can\'t seem to get it
I have an array A, and I have a list of slicing indices (s,t), let\'s called this list L. I want to find the 85 percentiles of A[s1:t1], A[s2:t2] ...
A matrix has m rows and n columns (n being a number not exceeding 10), and the nth column contains either 1 or 0 (binary). I want to use this binary as a decision to take out the associated row (if 1,
What is the difference between vectorize and frompyfunc in numpy? Both seem very similar. What is a typical use case for each of them?
I have an inner loop such as this for(i=0 ;i<n;i++){ x[0] += A[i] * z[0]; x[1] += A[i] * z[1]; x[2] += A[i] * 开发者_StackOverflow社区z[2];
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