tangles.util.matrix_order#

Classes

Class representing function objects computing approximations of covariance order functions by using singular value decomposition

Functions

`covariance_order()`	Order function defined by the matrix \(A^T A\), where \(A\) is the adjacency matrix of a graph
`linear_similarity_from_dist_matrix()`	Turns a distance matrix into a similarity matrix by linearly inverting the distances up to some maximum distance (margin)
`linear_similarity_from_distances()`	Turns a matrix of positions into a matrix of similarities (simply based on distances)
`logdet_order()`	Order function defined by \(\|f\| = log( det( M_A )) + log( det( M_B ))\) where \(f\) is the bipartition indicator
`matrix_order()`	A general order function defined by a quadratic matrix
`o_five()`	(O5) from the tangles book
`o_seven()`	(O7) from the tangles book