Matrix Operations

Blocs pour la modélisation d'opérations matricielles

Utilisez les blocs de la bibliothèque Matrix Operations pour modéliser les opérations matricielles courantes.

Blocs

Array Processing Subsystem	Apply algorithm to each element of a matrix (depuis R2024a)
Create Diagonal Matrix	Create square diagonal matrix from diagonal elements
Cross Product	Cross product of two vectors (depuis R2021b)
Expand Scalar	Create matrix from scalar using scalar expansion (depuis R2024a)
Extract Diagonal	Extract main diagonal of input matrix
Hermitian Transpose	Compute hermitian transpose of matrix (depuis R2021b)
Identity Matrix	Generate matrix with ones on main diagonal and ground values elsewhere (depuis R2021b)
IsHermitian	Check if matrix is Hermitian or skew-Hermitian (depuis R2022a)
IsSymmetric	Check if matrix is symmetric or skew-symmetric (depuis R2021b)
IsTriangular	Check if matrix is upper or lower triangular (depuis R2021b)
Matrix Concatenate	Concatenate input matrices of same data type for iterative processing
Matrix Square	Compute square of input matrix
Neighborhood Processing Subsystem	Create algorithm that follows the neighborhood pattern (depuis R2022b)
Permute Matrix	Reorder matrix rows or columns
Pixel Processing Subsystem	Create algorithm that converts multichannel image data to single-channel (depuis R2024a)
Product, Matrix Multiply	Multiply and divide scalars and nonscalars or multiply and invert matrices
Submatrix	Select subset of elements (submatrix) from matrix input
Transpose	Calculer la transposée d'une matrice (depuis R2021b)