# 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 Berechnen einer transponierten Matrix (Seit R2021b)