Table Of Contents

Linear Algebra Nodes (G Dataflow)

Version:
    Last Modified: March 31, 2017

    node_icon
    Performs the multiplication of two input matrices or an input matrix and an input vector.
    node_icon
    Transforms the eigenvectors of a balanced matrix to those of the original matrix.
    node_icon
    Performs Cholesky factorization on a symmetric or Hermitian positive definite matrix.
    node_icon
    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.
    node_icon
    Generates a real matrix from a specified set of eigenvalues.
    node_icon
    Generates a matrix of a specific type.
    node_icon
    Computes the determinant of a matrix.
    node_icon
    Computes the dot product of two vectors.
    node_icon
    Finds the eigenvalues and right eigenvectors of a square matrix.
    node_icon
    Computes the generalized right eigenvalues and eigenvectors of a pair of square matrices.
    node_icon
    Computes the generalized singular value decomposition (GSVD) of a matrix pair.
    node_icon
    Performs the Hessenberg decomposition of a matrix.
    node_icon
    Finds the inverse of an input matrix, if the inverse exists.
    node_icon
    Calculates the Kronecker product of two input matrices.
    node_icon
    Performs the LU factorization of a matrix.
    node_icon
    Solves the Lyapunov matrix equation.
    node_icon
    Balances a general matrix to improve the accuracy of computed eigenvalues and eigenvectors.
    node_icon
    Computes the characteristic polynomial of a matrix.
    node_icon
    Computes the condition number of a matrix.
    node_icon
    Computes the exponential of a square matrix by using the Pade Approximation method.
    node_icon
    Computes the natural logarithm of a square matrix.
    node_icon
    Computes the norm of a matrix.
    node_icon
    Computes the nth power of a matrix.
    node_icon
    Computes the rank of a matrix.
    node_icon
    Computes the square root of a matrix.
    node_icon
    Computes the outer product of two vectors.
    node_icon
    Solves the polynomial eigenvalue problem.
    node_icon
    Finds the pseudoinverse matrix of an input matrix by using singular value decomposition.
    node_icon
    Performs the QR decomposition of a matrix with the option of column pivoting.
    node_icon
    Performs the QZ decomposition of a pair of square matrices.
    node_icon
    Performs the Schur decomposition of a square matrix.
    node_icon
    Solves a linear system Ax = y.
    node_icon
    Computes the angle between column spaces of two matrices.
    node_icon
    Computes the singular value decomposition (SVD) of an m x n matrix.
    node_icon
    Solves the Sylvester matrix equation.
    node_icon
    Determines whether a matrix is of a specific type.
    node_icon
    Finds the trace of a matrix.
    node_icon
    Transposes a matrix.
    node_icon
    Computes the norm of a vector.

    Recently Viewed Topics