pygsti.optimize.simplerlm

Custom implementation of the Levenberg-Marquardt Algorithm (but simpler than customlm.py)

Functions

damp_coeff_update(mu, nu, half_max_nu, ...)
jac_guarded(k, num_fd_iters, obj_fn, jac_fn, ...)
simplish_leastsq(obj_fn, jac_fn, x0[, ...])	An implementation of the Levenberg-Marquardt least-squares optimization algorithm customized for use within pyGSTi.

Classes

Optimizer()	An optimizer.
OptimizerResult(objective_func, opt_x[, ...])	The result from an optimization.
SimplerLMOptimizer([maxiter, maxfev, tol, ...])	A Levenberg-Marquardt optimizer customized for GST-like problems.