一棵树就足够了:单汇批量购买的同时O(1)逼近

Ashish Goel, Ian Post
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引用次数: 10

摘要

研究了成本函数未知的单汇批量采购问题。我们希望将流量从一组需求节点路由到一个根节点,其中对于满足f(0)=0的凹非递减函数f,沿边缘路由x总流量的成本与f(x)成正比。我们提出了一种简单,快速的组合算法,该算法采用一组需求并构建单个树T,使所有f的成本f(T)是该f的最佳成本的47.45近似值。这是目前可实现的最佳近似值的2.33倍,当树可以针对特定函数进行优化时。无论计算时间如何,以前不知道存在同时实现所有凹函数O(1)逼近的树。
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One Tree Suffices: A Simultaneous O(1)-Approximation for Single-Sink Buy-at-Bulk
We study the single-sink buy-at-bulk problem with an unknown cost function. We wish to route flow from a set of demand nodes to a root node, where the cost of routing x total flow along an edge is proportional to f(x) for some concave, non-decreasing function f satisfying f(0)=0. We present a simple, fast, combinatorial algorithm that takes a set of demands and constructs a single tree T such that for all f the cost f(T) is a 47.45-approximation of the optimal cost for that f. This is within a factor of 2.33 of the best approximation ratio currently achievable when the tree can be optimized for a specific function. Trees achieving simultaneous O(1)-approximations for all concave functions were previously not known to exist regardless of computation time.
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