fips.posterior.Solution.gain#

Solution.gain(W=None)[source]#

Return the gain \(K\), or \(W K\) for an aggregation.

Parameters:

W (LinearOperator | None) – An aggregation, k x n, its columns in the state’s order.

Returns:

Without W, \(K\) (n x m), with \(\hat{x} = x_0 + K (z - H x_0 - c)\) for a linear method; with it, \(W K\) (k x m). The averaging kernel is written from it: \(A = K H\).

Return type:

ndarray