idd_diffsnorm(m, n, matvect, matvect2, matvec, matvec2, its=20)

paramm

Matrix row dimension.

typem

int

paramn

Matrix column dimension.

typen

int

parammatvect

Function to apply the transpose of the first matrix to a vector, with call signature :None:None:`y = matvect(x)`, where :None:None:`x` and :None:None:`y` are the input and output vectors, respectively.

typematvect

function

parammatvect2

Function to apply the transpose of the second matrix to a vector, with call signature :None:None:`y = matvect2(x)`, where :None:None:`x` and :None:None:`y` are the input and output vectors, respectively.

typematvect2

function

parammatvec

Function to apply the first matrix to a vector, with call signature :None:None:`y = matvec(x)`, where :None:None:`x` and :None:None:`y` are the input and output vectors, respectively.

typematvec

function

parammatvec2

Function to apply the second matrix to a vector, with call signature :None:None:`y = matvec2(x)`, where :None:None:`x` and :None:None:`y` are the input and output vectors, respectively.

typematvec2

function

paramits

Number of power method iterations.

typeits

int

return

Spectral norm estimate of matrix difference.

rtype

float

Estimate spectral norm of the difference of two real matrices by the randomized power method.

Examples

See :

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GitHub : /scipy/linalg/_interpolative_backend.py#386
type: <class 'function'>
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