A Cubic Algorithm for Computing the Hermite Normal Form of a Nonsingular Integer Matrix

IF 0.9 3区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS ACM Transactions on Algorithms Pub Date : 2022-09-21 DOI:10.1145/3617996
Stavros Birmpilis, G. Labahn, A. Storjohann
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引用次数: 0

Abstract

A Las Vegas randomized algorithm is given to compute the Hermite normal form of a nonsingular integer matrix A of dimension n. The algorithm uses quadratic integer multiplication and cubic matrix multiplication and has running time bounded by O(n3(log n + log ||A||)2(log n)2) bit operations, where ||A|| = max ij|Aij| denotes the largest entry of A in absolute value. A variant of the algorithm that uses pseudo-linear integer multiplication is given that has running time (n3log ||A||)1 + o(1) bit operations, where the exponent `` + o(1)′′ captures additional factors \(c_1 (\log n)^{c_2} (\rm {loglog} ||A||)^{c_3} \) for positive real constants c1, c2, c3.
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计算非奇异整矩阵Hermite范式的三次算法
给出了一个Las Vegas随机算法来计算维数为n的非奇异整数矩阵A的Hermite正规形式。该算法使用二次整数乘法和三次矩阵乘法,运行时间以O(n3(log n+日志 ||A||)2(日志 n) 2)位运算,其中||A||=max ij|Aij|表示绝对值中A的最大条目。给出了使用伪线性整数乘法的算法的一个变体,该变体具有运行时间(n3log ||A||)1+o(1)位运算,其中指数“+o(1。
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来源期刊
ACM Transactions on Algorithms
ACM Transactions on Algorithms COMPUTER SCIENCE, THEORY & METHODS-MATHEMATICS, APPLIED
CiteScore
3.30
自引率
0.00%
发文量
50
审稿时长
6-12 weeks
期刊介绍: ACM Transactions on Algorithms welcomes submissions of original research of the highest quality dealing with algorithms that are inherently discrete and finite, and having mathematical content in a natural way, either in the objective or in the analysis. Most welcome are new algorithms and data structures, new and improved analyses, and complexity results. Specific areas of computation covered by the journal include combinatorial searches and objects; counting; discrete optimization and approximation; randomization and quantum computation; parallel and distributed computation; algorithms for graphs, geometry, arithmetic, number theory, strings; on-line analysis; cryptography; coding; data compression; learning algorithms; methods of algorithmic analysis; discrete algorithms for application areas such as biology, economics, game theory, communication, computer systems and architecture, hardware design, scientific computing
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