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Performs the multiplication of two input matrices or an input matrix and an input vector.
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Performs Cholesky factorization on a symmetric or Hermitian positive definite matrix.
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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.
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Generates a real matrix from a specified set of eigenvalues.
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Generates one of the following types of matrix: Identity, Diagonal, Toeplitz, Vandermonde, Companion, Hankel, Hadamard, Wilkinson, Hilbert, Inverse Hilbert, Rosser, or Pascal.
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Computes the determinant of a matrix.
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Computes the dot product of two vectors.
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Finds the eigenvalues and right eigenvectors of a square matrix.
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Computes the generalized right eigenvalues and eigenvectors of a pair of square matrices.
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Computes the generalized singular value decomposition (GSVD) of a matrix pair.
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Finds the inverse of a input matrix if the inverse exists.
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Calculates the Kronecker product of two input matrices.
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Performs the LU factorization of a matrix.
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Computes the condition number of a matrix.
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Computes the exponential of a square matrix by using the Pade Approximation method.
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Computes the natural logarithm of a square matrix.
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Computes the norm of a matrix.
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Computes the nth power of a matrix.
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Computes the rank of a matrix.
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Computes the square root of a matrix.
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Computes the outer product of two vectors.
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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.
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Performs the QR decomposition of a matrix with the option of column pivoting.
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Solves a linear system AX = Y.
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Computes the angle between column spaces of two matrices.
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Computes the singular value decomposition (SVD) of an m x n matrix.
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Determines whether a matrix is of one of the following special types: symmetric positive definite, symmetric positive semi-definite, symmetric, or Hermitian.
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Finds the trace of a matrix.
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Transposes a matrix.
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Computes the norm of a vector.