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Analysis of the Karmarkar-Karp differencing algorithm

机译:Karmarkar-Karp差分算法的分析

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The Karmarkar-Karp differencing algorithm is the best known polynomial time heuristic for the number partitioning problem, fundamental in both theoretical computer science and statistical physics. We analyze the performance of the differencing algorithm on random instances by mapping it to a nonlinear rate equation. Our analysis reveals strong finite size effects that explain why the precise asymptotics of the differencing solution is hard to establish by simulations. The asymptotic series emerging from the rate equation satisfies all known bounds on the Karmarkar-Karp algorithm and projects a scaling n(-c ln n) , where c = 1/(2 ln 2) = 0.7213 .... Our calculations reveal subtle relations between the algorithm and Fibonacci-like sequences, and we establish an explicit identity to that effect.
机译:Karmarkar-Karp微分算法是用于数字分配问题的最著名的多项式时间启发式算法,在理论计算机科学和统计物理学中都是基础。通过将差分算法映射到非线性速率方程,我们分析了差分算法在随机实例上的性能。我们的分析揭示了强大的有限尺寸效应,这说明了为什么很难通过仿真来建立差分解决方案的精确渐近性。从速率方程式得出的渐近级数满足Karmarkar-Karp算法上的所有已知范围,并投影了一个缩放比例n(-c ln n),其中c = 1 /(2 ln 2)= 0.7213...。算法和类斐波那契序列之间的关系,我们为此建立了明确的身份。

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