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Vibrational eigenstates of NO2 by a Chebyshev-MINRES spectral filtering procedure

机译:Chebyshev-MINRES光谱滤波程序对NO2的振动本征态

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It is shown that the minimum residual algorithm (MINRES) is able to generate spectral filters sharp enough to obtain bound vibrational eigenstates of NO2 (J = 0) by direct access in the most dense part of the spectrum even for the worst near-degeneracy cases. The same is not true for filters constructed as an expansion of the spectral density operator via Chebyshev polynomials. The best performance is obtained in a progressively restarted scheme in which the sharpness of the filter is increased between subsequent restarts to accompany the refinement of the state. Best efficiency and most convenient handling is obtained with early restarts using the Chebyshev-filter, whereas the MINRES-filter is more efficient later in the filtering procedure, where sharp peaking of the filter action is necessary. (C) 2002 American Institute of Physics. [References: 42]
机译:结果表明,最小残留算法(MINRES)能够生成最清晰的光谱滤波器,即使在最简陋的简陋情况下,也可以通过直接访问光谱中最稠密的部分来获得NO2的固有振动本征态(J = 0)。 。对于通过Chebyshev多项式构造为频谱密度算子的扩展的滤波器,情况并非如此。在逐步重启的方案中可获得最佳性能,其中,在随后的重启之间增加滤波器的清晰度,以伴随状态的细化。使用Chebyshev过滤器及早重启可实现最佳效率和最方便的处理,而MINRES过滤器在后期过滤过程中效率更高,在这种情况下,必须使过滤作用急剧尖峰。 (C)2002美国物理研究所。 [参考:42]

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