OptimistixMinimise

class pmrf.optimize.OptimistixMinimise(solver: AbstractMinimiser, fatol: float = 1e-07)

Bases: AbstractUnconstrainedMinimizer

An optimizer that wraps an arbitrary Optimistix optimistix.AbstractMinimiser.

Adds a function success tolerance to the solver, and also passes throw=False by default to optimistix.minimise().

Parameters:

• solver (optx.AbstractMinimiser) – The specific optimistix solver instance to use.

• fatol (float, default=1e-7) – Absolute tolerance of the function value for termination.

run(fn: Callable[[PyTree, Any], Any], y0: PyTree, args: Any, max_iter: int, **kwargs) → MinimizeResult

Execute the minimization algorithm.

Parameters:

• fn (callable) – The objective function to minimize.

• y0 (PyTree) – The initial parameter guess.

• args (Any) – Args to pass to fn.

• max_iter (int = 1024) – The maximum number of iterations to take.

• **kwargs – Runtime arguments forward to the solver backend.

Returns:

An instance of pmrf.optimize.MinimizeResult.

Return type:

results

fatol: float = 1e-07

solver: AbstractMinimiser