idz_diffsnorm(m, n, matveca, matveca2, matvec, matvec2, its=20)

paramm

Matrix row dimension.

typem

int

paramn

Matrix column dimension.

typen

int

parammatveca

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

typematveca

function

parammatveca2

Function to apply the adjoint of the second matrix to a vector, with call signature :None:None:`y = matveca2(x)`, where :None:None:`x` and :None:None:`y` are the input and output vectors, respectively.

typematveca2

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 complex matrices by the randomized power method.

Examples

See :

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GitHub : /scipy/linalg/_interpolative_backend.py#1180
type: <class 'function'>
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