Algorithmic regularization with velocity-dependent forces
Algorithmic regularization uses a transformation of the equations of motion such that the leapfrog algorithm produces exact trajectories for two-body motion as well as regular results in numerical integration of the motion of strongly interacting few-body systems. That algorithm alone is not suffici...
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Published in | Monthly notices of the Royal Astronomical Society Vol. 372; no. 1; pp. 219 - 223 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Blackwell Publishing Ltd
11.10.2006
Blackwell Science Oxford University Press |
Subjects | |
Online Access | Get full text |
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Summary: | Algorithmic regularization uses a transformation of the equations of motion such that the leapfrog algorithm produces exact trajectories for two-body motion as well as regular results in numerical integration of the motion of strongly interacting few-body systems. That algorithm alone is not sufficiently accurate and one must use the extrapolation method for improved precision. This requires that the basic leapfrog algorithm be time-symmetric, which is not directly possible in the case of velocity-dependent forces, but is usually obtained with the help of the implicit mid-point method. Here, we suggest an alternative explicit algorithmic regularization algorithm which can handle velocity-dependent forces. This is done with the help of a generalized mid-point method to obtain the required time symmetry, thus eliminating the need for the implicit mid-point method and allowing the use of extrapolation. |
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Bibliography: | istex:2E901681D25DE09B5E3171BA509702049CBEBF6D ark:/67375/HXZ-FR90JGS6-J ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0035-8711 1365-2966 |
DOI: | 10.1111/j.1365-2966.2006.10854.x |