el0ps.datafit.Leastsquares

class el0ps.datafit.Leastsquares(y)

Least-squares datafit function.

The function is defined as

\[f(\mathbf{w}) = \sum_{i=1}^m \tfrac{1}{2}(y_i - w_i)^2\]

for some \(\mathbf{y} \in \mathbb{R}^m\).

Parameters:

yNDArray

Data vector.

__init__(y)

Methods

__init__(y)
bind_model(model)	Impose a constraint associated with the datafit function in a pyomo model.
conjugate(w)	Value of the convex conjugate of the function at w.
get_spec()	Specify the numba types of the class attributes.
gradient(w)	Value of gradient at w.
gradient_lipschitz_constant()	Lipschitz constant of the gradient.
params_to_dict()	Returns the parameters name and value used to initialize the class instance.
value(w)	Value of the function at w.