Best way to store multiple (say 500) sparse matrices
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Hi,
I would like to ask the Matlab users what is the best way to store multiple (say 500 or more) sparse matrices so that we have memory optimization.
Bigger picture: I am running an iteration, and in each iteration, I calculate a sparse multi-dimensional matrix (say N x N x N) where N varies from 200-1000. Lets call this matrix "H".
Thus, corresponding to each iteration I have H_1, H_2, H_3,.... H_m where "H_i" corresponds to multi-dimensional - H, calculated at step i of the iteration. The number maximum number of iterations are 400, and therefore, I have H_1, H_2, H_3, ......., H_400.
I want to store them in some organized fashion so that whenever required, I can easily pass any one or two or more of them as argument to a function or use them for any further calculation.
Thank you.
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