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Matrix Operations

R2026a
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 blockArray Processing SubsystemApply algorithm to each element of a matrix (depuis R2024a)
Create Diagonal Matrix blockCreate Diagonal MatrixCreate square diagonal matrix from diagonal elements
Cross Product blockCross ProductProduit en croix de deux vecteurs
Expand Scalar blockExpand ScalarCreate matrix from scalar using scalar expansion (depuis R2024a)
Extract Diagonal blockExtract DiagonalExtract main diagonal of input matrix
Hermitian Transpose blockHermitian TransposeCalculer la transposée d'une matrice
Identity Matrix blockIdentity MatrixGenerate matrix with ones on main diagonal and ground values elsewhere
Is Hermitian blockIsHermitianCheck if matrix is Hermitian or skew-Hermitian (depuis R2022a)
IsSymmetric blockIsSymmetricCheck if matrix is symmetric or skew-symmetric
Is Triangular blockIsTriangularCheck if matrix is upper or lower triangular
Matrix Concatenate blockMatrix ConcatenateConcatenate input matrices of same data type for iterative processing
Matrix Square blockMatrix SquareCompute square of input matrix
Neighborhood Processing Subsystem blockNeighborhood Processing SubsystemCreate algorithm that follows the neighborhood pattern (depuis R2022b)
Permute Matrix blockPermute MatrixReorder matrix rows or columns
Pixel Processing Subsystem blockPixel Processing SubsystemCreate algorithm that converts multichannel image data to single-channel (depuis R2024a)
Submatrix blockSubmatrixSelect subset of elements (submatrix) from matrix input
Transpose blockTransposeCalculer la transposée d'une matrice