Best way to store multiple (say 500) sparse matrices

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.

Answer 1

[Walter Roberson]

http://matlab.wikia.com/wiki/FAQ#How_can_I_create_variables_A1.2C_A2.2C....2CA10_in_a_loop.3F

Answer 2

[Sam T]

Another possible solution includes writing every H_i to a separate file in binary format, and then reading it whenever required. The binary format helps keep the file size small.