Efficient handeling of large matrix
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Hello, I would like to efficiently handle a large matrix which consists of a block of matrices, which are the same along the diagonals. In order to save memory I would now, if there is an efficient way to handle this matrix. Saving as a sparse matrix does not help... Thanks a lot in advance
A =
1.0e-04 *
0.4059 0.0125 0 0 0 0 0 0
0.0125 0.4059 0 0 0 0 0 0
0.0845 0.0208 0.4059 0.0125 0 0 0 0
0.0208 0.0845 0.0125 0.4059 0 0 0 0
0.0425 0.0170 0.0845 0.0208 0.4059 0.0125 0 0
0.0170 0.0425 0.0208 0.0845 0.0125 0.4059 0 0
0.0267 0.0135 0.0425 0.0170 0.0845 0.0208 0.4059 0.0125
0.0135 0.0267 0.0170 0.0425 0.0208 0.0845 0.0125 0.4059
2 Comments
Answers (1)
Image Analyst
on 16 Sep 2015
How big is big? Like hundreds of megabytes or elements? Gigabytes? Have you looked at memmapfile()? I haven't used it but I know it's meant for dealing with gigantic arrays. For more info see this link or call your local friendly MATLAB tech support consultant.
6 Comments
Bibigul
on 9 Apr 2017
@ M.K123, I am having the same problem , i am dealing with a matrix size of more than 35000x35000 . can you please help me how to solve this line by line?
thanks in advance.
kind Regards Bibigul
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