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A Combinatorial Polynomial Algorithm for the Linear Arrow-Debreu Market

机译:线性箭头-德布鲁市场的组合多项式算法

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We present the first combinatorial polynomial time algorithm for computing the equilibrium of the Arrow-Debreu market model with linear utilities. Our algorithm views the allocation of money as flows and iteratively improves the balanced flow as in [Devanur et al. 2008] for Fisher's model. We develop new methods to carefully deal with the flows and surpluses during price adjustments. In our algorithm, we need O(n~6 log(nU)) maximum flow computations, where n is the number of persons and U is the maximum integer utility, and the length of the numbers is at most O(nlog(nU)) to guarantee an exact solution. The previous polynomial time algorithms [Nenakov and Primak 1983, Jain 2007, Ye 2007] for this problem are based on solving convex programs using the ellipsoid algorithm or interior-point method.
机译:我们提出了第一个组合多项式时间算法,用于计算具有线性效用的Arrow-Debreu市场模型的均衡性。我们的算法将货币的分配视为流量,并像[Devanur等,2003年一样,以迭代方式改善了平衡流量。 [2008] Fisher模型。我们开发新的方法来谨慎处理价格调整期间的流量和盈余。在我们的算法中,我们需要O(n〜6 log(nU))个最大流量计算,其中n是人数,U是最大整数效用,并且数字的长度最多为O(nlog(nU) ),以确保提供准确的解决方案。先前针对该问题的多项式时间算法[Nenakov和Primak 1983,Jain 2007,Ye 2007]是基于使用椭球算法或内点法求解凸程序的。

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