Policy returning $$A$$-conjugate actions.

Selects the negative gradient / residual as an initial action $$s_0 = b - A x_0$$ and then successively generates $$A$$-conjugate actions, i.e. the actions satisfy $$s_i^\top A s_j = 0$$ iff $$i \neq j$$.

Parameters
• reorthogonalization_fn_residual (Optional[Callable[[ndarray, Iterable[ndarray], LinearOperator], ndarray]]) – Reorthogonalization function, which takes a vector, an orthogonal basis and optionally an inner product and returns a reorthogonalized vector. If not None the residuals are reorthogonalized before the action is computed.

• reorthogonalization_fn_action (Optional[Callable[[ndarray, Iterable[ndarray], LinearOperator], ndarray]]) – Reorthogonalization function, which takes a vector, an orthogonal basis and optionally an inner product and returns a reorthogonalized vector. If not None the computed action is reorthogonalized.

Return type

None

Methods Summary

 __call__(solver_state[, rng]) Return an action for a given solver state.

Methods Documentation

__call__(solver_state, rng=None)[source]

Return an action for a given solver state.

Parameters
Returns

Next action to take.

Return type

action