Hi Z,
From the code snippet, it's clear that you are aiming to calculate the product of a matrix with its transpose, where a significant portion of the matrix elements are zeros.
To improve efficiency, MATLAB’s ‘sparse’ matrix can be employed.
By converting the matrix into a sparse format, you can effectively reduce memory usage since sparse matrices only store non-zero elements. This can result in a faster computation, especially when dealing with large matrices where most elements are zero.
Refer to the following code snippet to implement the functionality:
v_sparse = b_sparse * b_sparse';
toc
Elapsed time is 0.004505 seconds.
For more information, refer to the following MathWorks Documentation:
- ‘sparse’ function: https://www.mathworks.com/help/releases/R2022b/matlab/ref/sparse.html
- 'full' function: https://www.mathworks.com/help/releases/R2022b/matlab/ref/full.html
I hope this approach helps in addressing the issue effectively.
