I\'m trying to compare different methods for matrix multiplication. The first one is normal method:
do
{
for (j = 0; j < i; j++)
{
for (k
The computation complexity of multiplication of two N*N matrix is O(N^3). The performance will be dramatically improved if you use O(N^2.73) algorithm which probably has been adopted by MATLAB. If you installed a MATLAB, try to multiply two 1024*1024 matrix. On my computer, MATLAB complete it in 0.7s, but the C\C++ implementation of the naive algorithm like yours takes 20s. If you really care about the performance, refer to lower-complex algorithms. I heard there exists O(N^2.4) algorithm, however it needs a very large matrix so that other manipulations can be neglected.