![]() ![]() A matrix of this shape is often referred to as a row vector. We thus resolve the matrix-vector product query complexity of the problem up to constant factors, even for the well-studied case of diagonal approximation, for which no previous lower bounds were known. The size of the resulting matrix is 1-by-4 because it has one row and four columns. We also prove a matching lower-bound, showing that, for any sparsity pattern with $\Theta(s)$ nonzeros per row and column, any algorithm achieving $(1+\epsilon)$ approximation requires $\Omega(s/\varepsilon)$ matrix-vector products in the worst case. How about this to convert the matrix into a column vector param2 data2d(:,1) Convert column 1 of 2-d data matrix into a column vector. Turn a Matrix into a Row Vector in MATLAB Read Practice Conversion of a Matrix into a Row Vector. ![]() Download a PDF of the paper titled Fixed-sparsity matrix approximation from matrix-vector products, by Noah Amsel and 5 other authors Download PDF Abstract:We study the problem of approximating a matrix $\mathbf$. MATLAB contains a built-in function to reshape matrices that you can use to turn any matrix into a single row - a vector.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |