What Matt Fig said. Both 2 & 4 are doing array multiplication, which involves making t as big as A (with some kind of reshaping). To defend your tutors, the "no loops
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You are talking about an outer product. If A and B are both row vectors, then you can use: A'*B If they are both column vectors, then you can use
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I'm optimizing a function and I want to get rid of slow for loops. I'm looking for a faster way to multiply each row of a matrix by a vector. Any ideas?
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The Basic Linear Algebra Subprograms (BLAS) are a specified set of low-level subroutines that perform common linear algebra operations such as copying, vector scaling
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Ratings : 26 %
What Matt Fig said. Both 2 & 4 are doing array multiplication, which involves making t as big as A (with some kind of reshaping). To defend your tutors, the "no loops
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You are talking about an outer product. If A and B are both row vectors, then you can use: A'*B If they are both column vectors, then you can use
Read More
Ratings : 36 %
I'm optimizing a function and I want to get rid of slow for loops. I'm looking for a faster way to multiply each row of a matrix by a vector. Any ideas?
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The Matrix and Quaternions FAQ ===== Version 1.4 26th December 1998 ----- This FAQ is maintained by "hexapod@netcom
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The Basic Linear Algebra Subprograms (BLAS) are a specified set of low-level subroutines that perform common linear algebra operations such as copying, vector scaling
Read More
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