I am trying to solve theseequations: S := solve({PVA1+PSA1+PPA1=1,开发者_如何转开发PVA2+PSA2+PPA2=1,PVA3+PSA3+PPA3=1,PVA1*0.2+PVA2*0.5+PVA3*0.3=0.3,PSA1*0.2+PSA2*0.5+PSA3*0.3=0.2,PPA1*0.2+PPA2*0.5+PP
I have two 2-D arrays with the same first axis dimensions. In python, I would like to convolve the two matrices along the second axis only. I would like to get C below without computing the convolutio
I\'m creating a program that solves linear systems using the Gauss-Jordan method by following this algorithm:
To perform an outer product between two vectors in Python (scipy/numpy) you can use the outer function, or you can simply use dot 开发者_运维百科like this:
Do yo know any example to use LAPACK To calcu开发者_运维问答late SVD?The routine dgesdd computes the SVD for a double precision matrix.Do you just need an example of how to use it?Have you tried readi
When computing the inverse for some square 开发者_运维问答matrix A in MATLAB, using Ai = inv(A)
I have N square matrices all of the same size MxM that have to be copied in a matrix that contains NxN matrices, arranged in a symmetrical way. The two halves, upper and lower, contain transposed vers
I want to use the \"princomp\" function of Matlab but this function gives the eigenvalues in a sorted array. This way I can\'t find out to which column corresponds which eigenvalue.
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I am implementing a column-major transformation matrix that looks something like this: ----------||------------||------------|
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