Matrix Operations

Blocks for modeling matrix operations

Use blocks from the Matrix Operations library to model common matrix operations.

Blocks

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