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Estimating Random Variables from Random Sparse Observations
Discrete random variable random function decoupling principle
2015/8/21
Let X1, . . . ,Xn be a collection of iid discrete random variables, and Y1, . . . , Ym a set of noisy observations of such variables. Assume each observation Ya to be a random function of some a rando...
First Order Convergence Analysis for Sparse Grid Method in Stochastic Two-Stage Linear Optimization Problem
Convergence Analysis Stochastic Optimization Scenario Generation Convex Analysis Measure Theory
2013/1/30
Stochastic two-stage linear optimization is an important and widely used optimization model. Efficiency of numerical integration of the second stage value function is critical. However, the second sta...
In this paper, disturbed sparse linear equations over the 0-1
finite field are considered. Due to the special structure of the
problem, the standard alternating coordinate method can be
implemented...