solver

Module path: cuqi.solver

Functions

ProjectBox	(Euclidean) projection onto a box.
ProjectNonnegative	(Euclidean) projection onto the nonnegative orthant.
ProximalL1	(Euclidean) proximal operator of the |x|_1 norm.

Classes

ADMM	Alternating Direction Method of Multipliers for solving regularized linear least squares problems of the form: Minimize ||Ax-b||^2 + sum_i f_i(L_i x), where the sum ranges from 1 to an arbitrary n.
CGLS	Conjugate Gradient method for unsymmetric linear equations and least squares problems.
FISTA	Fast Iterative Shrinkage-Thresholding Algorithm for regularized least squares problems.
LM	Levenberg-Marquardt algorithm for nonlinear least-squares problems.
LS	Wrapper for scipy.optimize.least_squares().
L_BFGS_B	Wrapper for scipy.optimize.fmin_l_bfgs_b().
PDHG	Primal-Dual Hybrid Gradient algorithm.
maximize	Simply calls ::class:: cuqi.solver.minimize with -func.
minimize	Wrapper for scipy.optimize.minimize().