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Algorithm 854: Fortran 77 Subroutines for Computing the Eigenvalues of Hamiltonian Matrices Ⅱ

机译:算法854:用于计算汉密尔顿矩阵特征值的Fortran 77子例程

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This article describes Fortran 77 subroutines for computing eigenvalues and invariant sub-spaces of Hamiltonian and skew-Hamiltonian matrices. The implemented algorithms are based on orthogonal symplectic decompositions, implying numerical backward stability as well as symmetry preservation for the computed eigenvalues. These algorithms are supplemented with balancing and block algorithms which can lead to considerable accuracy and performance improvements. As a by-product, an efficient implementation for computing symplectic QR decompositions is provided. We demonstrate the usefulness of the subroutines for several, practically relevant examples.
机译:本文介绍了Fortran 77子例程,用于计算哈密顿矩阵和偏斜哈密顿矩阵的特征值和不变子空间。所实现的算法基于正交辛分解,这意味着数值向后稳定性以及计算出的特征值的对称性得以保留。这些算法补充有平衡和块算法,可以导致相当大的准确性和性能改进。作为副产品,提供了一种用于计算辛QR分解的有效实现。我们为几个实际相关的示例演示了子例程的有用性。

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