Stochastic Reformulations of Linear Systems: Algorithms and Convergence Theory

4 Jun 2017Peter RichtárikMartin Takáč

We develop a family of reformulations of an arbitrary consistent linear system into a stochastic problem. The reformulations are governed by two user-defined parameters: a positive definite matrix defining a norm, and an arbitrary discrete or continuous distribution over random matrices... (read more)

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