mrpro.algorithms.optimizers

Optimizers.

Functions

adam(f, initial_parameters, *[, ...])	Adam for non-linear minimization problems.
cg(-> tuple[~torch.Tensor])	(Preconditioned) Conjugate Gradient for solving \(Hx=b\).
lbfgs(f, initial_parameters[, ...])	LBFGS for (non-linear) minimization problems.
pdhg(f, g, operator, initial_values[, ...])	Primal-Dual Hybrid Gradient Algorithm (PDHG).
pgd(f, g, initial_value[, stepsize, ...])	Proximal gradient descent algorithm for solving problem \(min_x f(x) + g(x)\).

Classes

OptimizerStatus

Base class for OptimizerStatus.