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首页> 外文期刊>Optimization methods & software >Coloring Jacobians revisited: A new algorithm for star and~acyclic bicoloring
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Coloring Jacobians revisited: A new algorithm for star and~acyclic bicoloring

机译:着色雅各宾主义的再探:星和〜无环双色的新算法

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This paper presents a new polynomial-time algorithm, approximate star bicoloring (ASBC), for star bicoloring and acyclic bicoloring. These NP-complete combinatorial problems arise from problems associated with computing large sparse Jacobian matrices. The main results of this paper lie in approximation analysis related to these problems. In particular, it is shown that (i) both star and acyclic bicoloring can be approximated in polynomial time to the ratio O(n ~(2/3)) and (ii) both star and acyclic bicoloring cannot be approximated to the ratio O(n ~(1/3-∈)) in polynomial time under reasonable complexity theoretic hypotheses. The ASBC algorithm is also analysed experimentally on a collection of realistic test cases from the Harwell-Boeing sparse matrix collection. The experimental results indicate that ASBC performs quite well in practice; the performance of the new algorithm always fell within the range of 1.53 and 6 times optimal on the given test sets.
机译:本文提出了一种新的多项式时间算法,近似恒星双色(ASBC),用于恒星双色和无环双色。这些NP完全组合问题来自与计算大型稀疏Jacobian矩阵相关的问题。本文的主要结果在于与这些问题相关的近似分析。特别地,表明:(i)星形和无环双色都可以在多项式时间内近似于比率O(n〜(2/3)),并且(ii)星形和无环双色都不能近似于比率O。 (n〜(1 /3-ε))在合理复杂性理论假设下的多项式时间内。还从Harwell-Boeing稀疏矩阵集合的一组实际测试用例中对ASBC算法进行了实验分析。实验结果表明,ASBC在实践中表现良好;新算法的性能始终在给定测试集的1.53到最佳6倍的范围内。

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