cuml.solvers

CD	Coordinate Descent (CD) is a very common optimization algorithm that minimizes along coordinate directions to find the minimum of a function.
QN	Quasi-Newton methods are used to either find zeroes or local maxima and minima of functions, and used by this class to optimize a cost function.
SGD	Stochastic Gradient Descent is a very common machine learning algorithm where one optimizes some cost function via gradient steps.