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Article
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SIAM Journal on Scientific Computing
Article . 1995 . Peer-reviewed
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Article . 1995
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On the Numerical Integration of Ordinary Differential Equations by Symmetric Composition Methods

On the numerical integration of ordinary differential equations by symmetric composition methods
Authors: Robert I. McLachlan;

On the Numerical Integration of Ordinary Differential Equations by Symmetric Composition Methods

Abstract

This paper is concerned with differential equations of the form \(\dot x = X = A + B\). The assumption that the vector fields \(A\) and \(B\) can be integrated exactly enables one to integrate \(X\) by composition of the flows \(A\) and \(B\). Various symmetric compositions are investigated for order, complexity, and reversibility. Free Lie algebra theory leads to simple formulas for the number of determining equations for a method to have a particular order. The author then obtains a new, more accurate way of applying the resulting methods to compositions of an arbitrary first- order integrator, and their implementation and numerical performance is described in detail, using as illustrations separable and non-separable Hamiltonians.

Keywords

Hamilton's equations, Lie algebras of vector fields and related (super) algebras, Lie algebra, Linear ordinary differential equations and systems, Numerical methods for initial value problems involving ordinary differential equations, Dynamical aspects of finite-dimensional Hamiltonian and Lagrangian systems, symmetric compositions, reversibility, numerical performance, non-separable Hamiltonians, order, complexity, operator splitting methods

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
292
Top 1%
Top 1%
Top 10%
bronze