Performs the multiplication of two input matrices or an input matrix and an input vector.
Performs Cholesky factorization on a symmetric or Hermitian positive definite matrix.
Performs Cholesky factorization on the rank-1 updated Cholesky matrix. The node performs Cholesky factorization directly on the known factored matrix instead of the updated matrix.
Generates a real matrix from a specified set of eigenvalues.
Generates one of the following types of matrix: Identity, Diagonal, Toeplitz, Vandermonde, Companion, Hankel, Hadamard, Wilkinson, Hilbert, Inverse Hilbert, Rosser, or Pascal.
Computes the determinant of a matrix.
Computes the dot product of two vectors.
Finds the eigenvalues and right eigenvectors of a square matrix.
Computes the generalized right eigenvalues and eigenvectors of a pair of square matrices.
Computes the generalized singular value decomposition (GSVD) of a matrix pair.
Finds the inverse of a input matrix if the inverse exists.
Calculates the Kronecker product of two input matrices.
Performs the LU factorization of a matrix.
Computes the condition number of a matrix.
Computes the exponential of a square matrix by using the Pade Approximation method.
Computes the natural logarithm of a square matrix.
Computes the norm of a matrix.
Computes the nth power of a matrix.
Computes the rank of a matrix.
Computes the square root of a matrix.
Computes the outer product of two vectors.
Finds the pseudoinverse matrix of a input matrix by using singular value decomposition. Use this node when Inverse Matrix cannot compute the inverse of a matrix, such as for rectangular or singular matrices.
Performs the QR decomposition of a matrix with the option of column pivoting.
Solves a linear system AX = Y.
Computes the angle between column spaces of two matrices.
Computes the singular value decomposition (SVD) of an m x n matrix.
Determines whether a matrix is of one of the following special types: symmetric positive definite, symmetric positive semi-definite, symmetric, or Hermitian.
Finds the trace of a matrix.
Transposes a matrix.
Computes the norm of a vector.