Column vector multiplied to a row vector, memory v.s. speed issue
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Hello everyone. I have a column vector (A) that is left multiplied to a row vector (B). The result is a matrix C=A*B. What I need is the sum of C in each row, that is sum(C,2). However, both A and B are very long vector that makes C rather huge that exceeds memory. Is it possible to bypass the matrix C and get the results sum(C,2) without using a loop, which is a bit slow.
Many thanks
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