quantax.optimizer.PlainUpdater# class quantax.optimizer.PlainUpdater# Bases: Updater The plain update \(\dot\theta = \mathrm{solve}(\bar O, \bar\epsilon)\). __init__()# init(nparams: int) → dict[str, Array]# Initialize the persistent buffers for nparams parameters. update(core_solve: Callable[[...], Array], Obar: Array, Ebar: Array, buffers: dict[str, Array]) → tuple[Array, dict[str, Array]]# Generate the optimization step and the new buffers, given the equation solver core_solve and the current buffers.