Matrix-Operationen

Blöcke für die Modellierung von Matrixoperationen

Verwenden Sie Blöcke aus der Bibliothek "Matrix Operations", um gängige Matrixoperationen zu modellieren.

Blöcke

Array Processing Subsystem	Apply algorithm to each element of a matrix (Seit R2024a)
Create Diagonal Matrix	Create square diagonal matrix from diagonal elements
Cross Product	Cross product of two vectors (Seit R2021b)
Expand Scalar	Create matrix from scalar using scalar expansion (Seit R2024a)
Extract Diagonal	Extract main diagonal of input matrix
Hermitian Transpose	Compute hermitian transpose of matrix (Seit R2021b)
Identity Matrix	Generate matrix with ones on main diagonal and ground values elsewhere (Seit R2021b)
IsHermitian	Check if matrix is Hermitian or skew-Hermitian (Seit R2022a)
IsSymmetric	Check if matrix is symmetric or skew-symmetric (Seit R2021b)
IsTriangular	Check if matrix is upper or lower triangular (Seit 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 (Seit R2022b)
Permute Matrix	Reorder matrix rows or columns
Pixel Processing Subsystem	Create algorithm that converts multichannel image data to single-channel (Seit 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	Compute transpose of matrix (Seit R2021b)