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Maximizing Expected Utility for Stochastic Combinatorial Optimization Problems
ExpectedStochastic CombinatorialProblems
2012/12/4
We study the stochastic versions of a broad class of combinatorial problems where the weights of the elements in the input dataset are uncertain. The class of problems that we study includes shortest ...
最优化的序贯数论方法的收敛性(On the convergence of sequential number-theoretic method for optimization)
拟Monte Carlo方法 序贯数论方法
2007/12/11
该文关于由Fang K. F. & Wang Y.给出的最优化,研究了序贯数论方法的收敛性问题.关于该算法给出了收敛性判据和误差估计.