Hauptinhalt

Die Übersetzung dieser Seite ist veraltet. Klicken Sie hier, um die neueste Version auf Englisch zu sehen.

Matrix-Operationen

R2026a
Blöcke für die Modellierung von Matrixoperationen

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

Blöcke

Array Processing Subsystem blockArray Processing SubsystemApply algorithm to each element of a matrix (Seit R2024a)
Create Diagonal Matrix blockCreate Diagonal MatrixCreate square diagonal matrix from diagonal elements
Cross Product blockCross ProductCross product of two vectors
Expand Scalar blockExpand ScalarCreate matrix from scalar using scalar expansion (Seit R2024a)
Extract Diagonal blockExtract DiagonalExtract main diagonal of input matrix
Hermitian Transpose blockHermitian TransposeBerechnen der hermiteschen Transposition einer Matrix
Identity Matrix blockIdentity MatrixGenerate matrix with ones on main diagonal and ground values elsewhere
Is Hermitian blockIsHermitianCheck if matrix is Hermitian or skew-Hermitian (Seit 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 (Seit R2022b)
Permute Matrix blockPermute MatrixReorder matrix rows or columns
Pixel Processing Subsystem blockPixel Processing SubsystemCreate algorithm that converts multichannel image data to single-channel (Seit R2024a)
Submatrix blockSubmatrixSelect subset of elements (submatrix) from matrix input
Transpose blockTransposeBerechnen einer transponierten Matrix