arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1610.03386physics.chem-phphysics.comp-phquant-ph
收藏

用低阶积和基函数计算振动光谱的不同本征解的比较

Comparison of different eigensolvers for calculating vibrational spectra using low-rank, sum-of-product basis functions

Arnaud Leclerc, Phillip S. Thomas, Tucker Carrington

摘要:

多原子分子的振动光谱和波函数可以计算在低内存成本使用低秩和的产品(SOP)分解表示使用迭代本征解生成的基函数。使用SOP张量格式并不决定迭代特征解算器。迭代本征解算器的选择受到在计算的每个阶段限制SOP基函数的秩的需要的限制。我们已经适应,实施和比较不同的降秩算法的基础上的标准迭代方法(块戴维森算法,Chebyshev迭代)计算振动能级和波函数的12维乙腈分子。分析了使用低秩SOP基函数对不同方法的影响,并将数值结果与J. Chem. Phys. 140,174111(2014)中介绍的降秩块幂方法获得的结果进行了比较。不同的算法的相对优点,显示使用更复杂的方法的优点,虽然减轻了使用降秩求和的产品功能,是显着的CPU时间。

英文摘要:

Vibrational spectra and wavefunctions of polyatomic molecules can be calculated at low memory cost using low-rank sum-of-product (SOP) decompositions to represent basis functions generated using an iterative eigensolver. Using a SOP tensor format does not determine the iterative eigensolver. The choice of the interative eigensolver is limited by the need to restrict the rank of the SOP basis functions at every stage of the calculation. We have adapted, implemented and compared different reduced-rank algorithms based on standard iterative methods (block-Davidson algorithm, Chebyshev iteration) to calculate vibrational energy levels and wavefunctions of the 12-dimensional acetonitrile molecule. The effect of using low-rank SOP basis functions on the different methods is analyzed and the numerical results are compared with those obtained with the reduced rank block power method introduced in J. Chem. Phys. 140, 174111 (2014). Relative merits of the different algorithms are presented, showing that the advantage of using a more sophisticated method, although mitigated by the use of reduced-rank sum-of-product functions, is noticeable in terms of CPU time.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑