http://www.bing.com:80/search?q=Matrix+Multiplication+in+MATLABSearch resultshttp://www.bing.com:80/s/a/rsslogo.gifhttp://www.bing.com:80/search?q=Matrix+Multiplication+in+MATLABCopyright © 2026 Microsoft. All rights reserved. These XML results may not be used, reproduced or transmitted in any manner or for any purpose other than rendering Bing results within an RSS aggregator for your personal, non-commercial use. Any other use of these results requires express written permission from Microsoft Corporation. By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.https://stackoverflow.com/questions/15810349/what-is-the-difference-between-and-in-matlabis matrix multiplication while is elementwise multiplication. In order to use the first operator, the operands should obey matrix multiplication rules in terms of size.Sat, 18 Apr 2026 03:18:00 GMThttps://stackoverflow.com/questions/6058139/why-is-matlab-so-fast-in-matrix-multiplicationMatrix multiplication (together with Matrix-vector, vector-vector multiplication and many of the matrix decompositions) is (are) the most important problems in linear algebra.Fri, 17 Apr 2026 03:48:00 GMThttps://stackoverflow.com/questions/6580656/matlab-how-to-vector-multiply-two-arrays-of-matricesI have two 3-dimensional arrays, the first two dimensions of which represent matrices and the last one counts through a parameterspace, as a simple example take A = repmat([1,2; 3,4], [1 1 4]); (butSat, 18 Apr 2026 11:25:00 GMThttps://stackoverflow.com/questions/26878372/element-by-element-matrix-multiplication-in-matlabI'm writing a function in MATLAB that will allow me to multiply a vector and a matrix by element as long as the number of elements in the vector matches the number of columns.Wed, 15 Apr 2026 16:00:00 GMThttps://stackoverflow.com/questions/69605662/matlab-multiply-matrix-with-vector-of-matricesWhat you want to do is this giant sparse matrix multiplication where I is the identity matrix, and the above are stacked vectors and matrix where all the rows and columns are appended together. What you should do as mentioned in the comments is to use the .* operator to writeWed, 15 Apr 2026 00:37:00 GMThttps://stackoverflow.com/questions/14178843/matlab-matrix-multiplication-ignoring-nansA(isnan(A)) = 0; before running the multiplication. I would advise against re-writing matrix multiplication, since you won't get similar performance to built-in matrix algebra out of your own code. nansum, and particularly nanmean etc are functions of the statistics toolbox where NaN s aren't simply replaced by zero, but actually removed from the calculation, because in the context of ...Sat, 11 Apr 2026 03:48:00 GMThttps://stackoverflow.com/questions/19594568/multiplication-of-integer-valued-matrices-in-matlabMATLAB uses BLAS (more specifically, Intel's implementation of BLAS, i.e. MKL) to do matrix multiplication. At present, BLAS does not natively support multiplication of integer matrices.Sat, 18 Apr 2026 10:49:00 GMThttps://stackoverflow.com/questions/78018615/fastest-way-to-do-repeated-element-wise-matrix-multiplication-in-matlabGiven a matrix A, I need to multiply with another constant vector B, N times (N > 1 million). The size of A is 9000x1 and B is 9000x1000. The code is currently evaluated in the following way: fo...Tue, 14 Apr 2026 18:46:00 GMThttps://stackoverflow.com/questions/7645201/fast-matrix-multiplication-in-matlab10 Matlab's raison d'etre is doing matrix computations. I would be fairly surprised if you could significantly outperform its built-in matrix multiplication with hand-crafted tools. First of all, you should make sure your multiplication can actually be performed significantly faster.Thu, 16 Apr 2026 15:02:00 GMThttps://stackoverflow.com/questions/14169222/faster-way-to-initialize-arrays-via-empty-matrix-multiplication-matlabI've stumbled upon the weird way (in my view) that Matlab is dealing with empty matrices. For example, if two empty matrices are multiplied the result is: zeros(3,0)*zeros(0,3) ans = 0 0 ...Thu, 16 Apr 2026 06:19:00 GMT