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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 SubsystemApply algorithm to each element of a matrix (depuis R2024a)
Create Diagonal MatrixCreate square diagonal matrix from diagonal elements
Cross ProductCross product of two vectors (depuis R2021b)
Expand ScalarCreate matrix from scalar using scalar expansion (depuis R2024a)
Extract DiagonalExtract main diagonal of input matrix
Hermitian TransposeCompute hermitian transpose of matrix (depuis R2021b)
Identity MatrixGenerate matrix with ones on main diagonal and ground values elsewhere (depuis R2021b)
IsHermitianCheck if matrix is Hermitian or skew-Hermitian (depuis R2022a)
IsSymmetricCheck if matrix is symmetric or skew-symmetric (depuis R2021b)
IsTriangularCheck if matrix is upper or lower triangular (depuis R2021b)
Matrix ConcatenateConcatenate input matrices of same data type for iterative processing
Matrix SquareCompute square of input matrix
Neighborhood Processing SubsystemCreate algorithm that follows the neighborhood pattern (depuis R2022b)
Permute MatrixReorder matrix rows or columns
Pixel Processing SubsystemCreate algorithm that converts multichannel image data to single-channel (depuis R2024a)
Product, Matrix MultiplyMultiply and divide scalars and nonscalars or multiply and invert matrices
SubmatrixSelect subset of elements (submatrix) from matrix input
TransposeCalculer la transposée d'une matrice (depuis R2021b)