CholeskyInverse

class paminco.linalg.CholeskyInverse(cho_fac, return_reduced: bool = False)

A class representing the inverse of some matrix based on the cho decomp.

Parameters

cho_factuple

The cholesky decomposition as returned by scipy.linalg.cho_factor

return_reducedbool, default=False

If true, this represents the reduced matrix (w/o zero row/column)

Notes

A cholesky inverse works in part like a ndarray. It implements the dotproduct (dot), returns the shape of the inverse (shape), supports slicing and can be converted in an ndarray using toarray().

Using toarray() or slicing will result in an explicit computation of the inverse. The actual inverse will then be cached and make future calls of toarray, dot, and slicing faster.

Attributes

cho: TODO

return_redcued: TODO

array: TODO

__init__(cho_fac, return_reduced: bool = False)

Methods

__init__(cho_fac[, return_reduced])
dot(other[, reduced])	Compute the dot product of self and other.
toarray([caching])	Return the inverse as ndarray.
update_by_edge(net, edge, delta_c)	Update inverse accoding to edgeweight change delta_c on edge.

Attributes

shape

Return the shape of the matrix represented by this object.