Ahora está siguiendo esta publicación
- Verá actualizaciones en las notificaciones de contenido en seguimiento.
- Podrá recibir correos electrónicos, en función de las preferencias de comunicación que haya establecido.
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); end
but 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:\work\fx\frontal\'))
test_frontal
(don't do addpath(genpath('c:\work\fx\frontal\frontal\')))
Citar como
Felipe G. Nievinski (2026). frontal (https://es.mathworks.com/matlabcentral/fileexchange/30764-frontal), MATLAB Central File Exchange. Recuperado .
Agradecimientos
Inspirado por: Multiple matrix multiplications, with array expansion enabled, MTIMESX - Fast Matrix Multiply with Multi-Dimensional Support, testit
Categorías
Más información sobre Detection, Range and Doppler Estimation en Help Center y MATLAB Answers.
Información general
- Versión 1.2.0.0 (34,6 KB)
Compatibilidad con la versión de MATLAB
- Compatible con cualquier versión
Compatibilidad con las plataformas
- Windows
- macOS
- Linux
