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Back Transform Eigenvectors (G Dataflow)

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    Last Modified: March 15, 2017

    Transforms the eigenvectors of a balanced matrix to those of the original matrix.

    Programming Patterns

    Use the Back Transform Eigenvectors node after balancing a matrix with the Matrix Balance node and computing the eigenvectors of the balanced matrix with the Eigenvalues and Vectors node. Use the outputs of the Matrix Balance node and the Eigenvalues and Vectors node as the inputs of the Back Transform Eigenvectors node.

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    job

    Type of operation used to balance the matrix.

    Name Value Description
    Neither Permuted nor Scaled 0 The matrix is neither permuted nor scaled.
    Permuted but not Scaled 1 The matrix is permuted but not scaled.
    Scaled but not Permuted 2 The matrix is scaled but not permuted.
    Both Permuted and Scaled 3 The matrix is permuted and scaled.

    Default: Both Permuted and Scaled

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    eigenvectors

    The eigenvectors of the balanced matrix.

    This input accepts a 2D array of double-precision, floating point numbers or 2D array of complex double-precision, floating point numbers.

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    index low

    The form of the balanced matrix.

    Default: 0

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    index high

    The form of the balanced matrix.

    Default: 0

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    side

    Side of the eigenvectors of the balanced matrix.

    Name Value Description
    Right Eigenvectors 0 The input eigenvectors are right eigenvectors.
    Left Eigenvectors 1 The input eigenvectors are left eigenvectors.

    Default: Right Eigenvectors

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    error in

    Error conditions that occur before this node runs.

    The node responds to this input according to standard error behavior.

    Standard Error Behavior

    Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.

    error in does not contain an error error in contains an error
    If no error occurred before the node runs, the node begins execution normally.

    If no error occurs while the node runs, it returns no error. If an error does occur while the node runs, it returns that error information as error out.

    If an error occurred before the node runs, the node does not execute. Instead, it returns the error in value as error out.

    Default: No error

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    scale

    Details about the permutations and/or scaling factors used to balance the original general matrix.

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    transformed eigenvectors

    Transformed eigenvectors.

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    error out

    Error information.

    The node produces this output according to standard error behavior.

    Standard Error Behavior

    Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.

    error in does not contain an error error in contains an error
    If no error occurred before the node runs, the node begins execution normally.

    If no error occurs while the node runs, it returns no error. If an error does occur while the node runs, it returns that error information as error out.

    If an error occurred before the node runs, the node does not execute. Instead, it returns the error in value as error out.

    Where This Node Can Run:

    Desktop OS: Windows

    FPGA: This product does not support FPGA devices


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