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ABSTRACT
A massively parallel processor proves to be a powerful tool for manipulating the very large Poisson series encountered in non-linear dynamics. Exploiting the algebraic structure of Poisson series leads quite naturally to parallel data structures and algorithms for symbolic manipulation. Exercising the parallel symbolic processor on the solution of Kepler's equation reveals the need to reexamine the serial computational methods traditionally applied to problems in dynamics.
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Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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