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Partitioned general linear methods for separable Hamiltonian problems

机译:可分离的哈密顿问题的划分一般线性方法

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Partitioned general linear methods possessing the G-symplecticity property are introduced. These are intended for the numerical solution of separable Hamiltonian problems and, as for multivalue methods in general, there is a potential for loss of accuracy because of parasitic solution growth. The solution of mechanical problems over extended time intervals often benefits from interchange symmetry as well as from symplectic behaviour. A special type of symmetry, known as interchange symmetry, is developed from a model Runge-Kutta case to a full multivalue case. Criteria are found for eliminating parasitic behaviour and order conditions are explored.
机译:介绍了具有G-渐近性的分区一般线性方法。这些旨在用于可分离的汉密尔顿问题的数值解,并且对于一般的多值方法,由于寄生解的增长,有可能导致精度损失。在延长的时间间隔内解决机械问题通常受益于互换对称性以及辛辛的行为。从模型Runge-Kutta案例到完全多值案例,开发了一种特殊的对称类型,称为交换对称。找到了消除寄生行为的标准,并研究了订购条件。

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