I am doing some computations on a sparse matrix of floats in the log domain, so the \"empty\" entries are actually -Inf (using -FLT_MAX).I\'m using a custom sparse matrix class right now but I am eage
I thought of using coo_matrix.nonzero() which returns a tuple of two arrays which contain the indices of the nonzero entrys in a given matrix. The example from the docs states:
I have to implement sparse matrix and do some decompositions like Cholesky Decomposition, LU Decomposition, QR Decomposition on it.
I was working on drafting/testing a technique I devised for solving differential equations for speed and efficiency.
Suppose I have a really big matrix of sparse data, but i\'m only interested in looking at a sample of it making it even more sparse.Suppose I also have a dataframe of triples including columns for row
I\'m looking for any standard C program that uses OpenMP APIs for a sparse matrix-vector or matrix-matrix multiplications. Can anyone let m开发者_如何学Goe know if there are any such programs.If you a
I am trying to implement the following equation using scipy\'s sparse package: W = x[:,1] * y[:,1].T + x[:,2] * y[:,2].T + ...
There is also a counterpart which is called de开发者_如何学运维nsity array. What does this mean? I have done some search, but didn\'t get accurate information.Say you have a structure
I\'m working with some rather large sparse matrices (from 5000x5000 to 20000x20000) and need to find an efficient way to concatenate matrices in a flexible way in order to construct a stochastic matri
I\'m looking for a Sparse Matrix library I can use from Ruby. I\'m currently using the GNU Scientific Library bindings provided by the \"gsl\" gem, but my application would be better optimized if I us
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