frontal 1.0

These routines assist in the manipulation of matrices with same shape but different content. For example, performing the product A*b is trivial for matrix A and vector b, but what would you do if you had several such products to form? Examples abound: rotations, Jacobians, covariances, etc. Using the frontal routines, you'd collect them all in a three-dimensional matrix or third-order tensor, with each k-th frontal panel of A(:,:,k) and b(:,:,k) storing one such a related matrix and vector. Then calling C = frontal_mtimes(A, b);would do the equivalent of for k=1:size(A,3), C(:,:,k) = A(:,:,k) * b(:,:,k); endbut using internally different algorithms depending on the dimensions of A (including a C-mex option). If you like operator overloading, you can do instead: A = frontal(A); b = frontal(b); C = A*b;You might want to compile the file frontal_mtimes_helper.c, but it's not required.After you've unzipped it, test your installation running: addpath(genpath('c:workfxfrontal')) test_frontal(don't do addpath(genpath('c:workfxfrontalfrontal')))

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Algorithms,  Calling,  Depending,  Dimensions,  Including,  Internally,  Operator,  Option,  Overloading,  Related
Users rating:	0/10