计算广义同伴矩阵行列式的快速无击穿算法

IF 1.7 3区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY
Xin Fan, Ji-Teng Jia
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引用次数: 0

摘要

本文基于一种新的不完全块对角化方法,将原广义同志矩阵的行列式转化为三对角矩阵和低阶同志矩阵的行列式,研究了广义同志矩阵的行列式求值问题。然后,提出了一种计算广义同伴矩阵行列式的无击穿递归算法。尽管该算法不是符号算法,但它不会出现故障。进一步,我们给出了具有拟toeplitz结构的广义同志矩阵行列式的一个显式公式。仿真结果表明,该算法具有较高的精度和有效性,与MATLAB内置函数具有较强的竞争力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast breakdown-free algorithm for computing the determinants of a generalized comrade matrix

In this paper, we consider the determinant evaluation of a generalized comrade matrix based on a novel incomplete block-diagonalization approach which transforms the determinant of the original generalized comrade matrix into the determinants of tridiagonal matrices and comrade matrix with lower-order. Then, a breakdown-free recursive algorithm for computing the determinant of the generalized comrade matrix is proposed. Even though the algorithm is not a symbolic algorithm, it never suffers from breakdown. Furthermore, we propose an explicit formula for the determinant of the generalized comrade matrix with quasi-Toeplitz structure. Some numerical results with simulations in MATLAB implementation are provided to demonstrate the accuracy and effectiveness of the proposed algorithm, and its competitiveness with MATLAB built-in function.

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来源期刊
Journal of Mathematical Chemistry
Journal of Mathematical Chemistry 化学-化学综合
CiteScore
3.70
自引率
17.60%
发文量
105
审稿时长
6 months
期刊介绍: The Journal of Mathematical Chemistry (JOMC) publishes original, chemically important mathematical results which use non-routine mathematical methodologies often unfamiliar to the usual audience of mainstream experimental and theoretical chemistry journals. Furthermore JOMC publishes papers on novel applications of more familiar mathematical techniques and analyses of chemical problems which indicate the need for new mathematical approaches. Mathematical chemistry is a truly interdisciplinary subject, a field of rapidly growing importance. As chemistry becomes more and more amenable to mathematically rigorous study, it is likely that chemistry will also become an alert and demanding consumer of new mathematical results. The level of complexity of chemical problems is often very high, and modeling molecular behaviour and chemical reactions does require new mathematical approaches. Chemistry is witnessing an important shift in emphasis: simplistic models are no longer satisfactory, and more detailed mathematical understanding of complex chemical properties and phenomena are required. From theoretical chemistry and quantum chemistry to applied fields such as molecular modeling, drug design, molecular engineering, and the development of supramolecular structures, mathematical chemistry is an important discipline providing both explanations and predictions. JOMC has an important role in advancing chemistry to an era of detailed understanding of molecules and reactions.
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