least_squares_penalty module

Define a variation of LeastSquares.

It is not intended to be used with phi_s fit. Approach is here to make the residuals grow when the constraints are not respected.

class LeastSquaresPenalty(*args, history_kwargs=None, **kwargs)[source]

A least-squares method, with a penalty function to consider constraints.

Everything is inherited from LeastSquares.

__init__(*args, history_kwargs=None, **kwargs)[source]

Set additional information.

_norm_wrapper_residuals(var)[source]

Give residuals with a penalty.

_penalty(constraints_evaluations)[source]

Compute appropriate penalty.