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Yd = sparse(diag(y)) %// 10x10 matrix, but memory is only used to store data and its indicies You can use the sparse keyword to reduce the memory usage for the interim storage of the diagonal matrix x = ones(10) %// 10x10 matrix See this article for a detailed description of bsxfun versus repmatįor multiplication at least, you can achieve a result using a trick involving diagonal matrices. Use of the repmat command is generally wasteful (as you pointed out in your question) and can usually be avoided. You can use Matlab's bult in binary-singleton-expansion ( bsxfun) to achieve the results you desire in a memory efficient manner. QUESTION - is there some nice third, way, slice mode? In which I could say, view matrix as slices, add vector to slices, and drop such view, and treat matrix as usual?
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The second one uses vectorization approach, however consumes memory a lot, in the first case, there is no vectorization approach (manual loop), but the memory is not overused. Repeat the vector and then add entire repeated vector (so now it is matrix really) to the matrix Manually loop over columns, and add the vector And in the result acquire matrix (10,10) of course. So add vector to first column, add vector to second column. I would like to work with this matrix in slices (in this case column slices) and add vector to them. Now I have the problem which lies between those two modes.įor example (this is just EXAMPLE) I have a matrix (10,10) and a vector (10,1). Convert a Vector into Factor in R Programming – as.I am new to Octave/Matlab so so far I know, you can apply matrix operation (like *) or cell-wise operation (like.Clear the Console and the Environment in R Studio.Differences between Procedural and Object Oriented Programming.Arrow operator -> in C/C++ with Examples.Modulo Operator (%) in C/C++ with Examples.Convert String to Integer in R Programming – strtoi() Function.Convert a Vector into Factor in R Programming – as.factor() Function.Convert Factor to Numeric and Numeric to Factor in R Programming.Convert a Data Frame into a Numeric Matrix in R Programming – data.matrix() Function.Finding Inverse of a Matrix in R Programming – inv() Function.Converting a List to Vector in R Language – unlist() Function.
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#Gnu octave matrix operations update
As an example, assume that x and y contains two. Update of bug 36562 (project octave): Status: None > Confirmed Summary: NaN/Inf behaviour unexpected in sparse rdivide > Sparse matrix operations with NaN do not follow IEEE standard Follow-up Comment 1: Confirmed on a recent (5/31/12) development tip. The functions for set operations all work in pretty much the same way. Octave also supports the Exclusive Or set operation, and membership determination. That is, Octave can compute the union, intersection, and difference of two sets. Calculate the Mean of each Row of an Object in R Programming – rowMeans() Function Octave may also produce a matrix with nnz Calculate the Mean of each Column of a Matrix or Array in R Programming – colMeans() Function.Calculate the Sum of Matrix or Array columns in R Programming – colSums() Function.Display the internal Structure of an Object in R Programming – str() Function.
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#Gnu octave matrix operations how to
How to Perform Computational Operations in Octave?.ISRO CS Syllabus for Scientist/Engineer Exam.ISRO CS Original Papers and Official Keys.GATE CS Original Papers and Official Keys.