## Parallel integer relation detection: Techniques and applications

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- by David H. Bailey and David J. Broadhurst PDF
- Math. Comp.
**70**(2001), 1719-1736 Request permission

## Abstract:

Let $\{x_1, x_2, \cdots , x_n\}$ be a vector of real numbers. An*integer relation algorithm*is a computational scheme to find the $n$ integers $a_k$, if they exist, such that $a_1 x_1 + a_2 x_2 + \cdots + a_n x_n= 0$. In the past few years, integer relation algorithms have been utilized to discover new results in mathematics and physics. Existing programs for this purpose require very large amounts of computer time, due in part to the requirement for multiprecision arithmetic, yet are poorly suited for parallel processing. This paper presents a new integer relation algorithm designed for parallel computer systems, but as a bonus it also gives superior results on single processor systems. Single- and multi-level implementations of this algorithm are described, together with performance results on a parallel computer system. Several applications of these programs are discussed, including some new results in mathematical number theory, quantum field theory and chaos theory.

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## Additional Information

**David H. Bailey**- Affiliation: Lawrence Berkeley Laboratory, MS 50B-2239, Berkeley, California 94720
- MR Author ID: 29355
- Email: dhbailey@lbl.gov
**David J. Broadhurst**- Affiliation: Open University, Department of Physics, Milton Keynes MK7 6AA, United Kingdom
- Email: D.Broadhurst@open.ac.uk
- Received by editor(s): October 20, 1999
- Published electronically: July 3, 2000
- Additional Notes: The work of the first author was supported by the Director, Office of Computational and Technology Research, Division of Mathematical, Information, and Computational Sciences of the U.S. Department of Energy, under contract number DE-AC03-76SF00098.
- © Copyright 2000 American Mathematical Society
- Journal: Math. Comp.
**70**(2001), 1719-1736 - MSC (2000): Primary 11Y16; Secondary 11-04
- DOI: https://doi.org/10.1090/S0025-5718-00-01278-3
- MathSciNet review: 1836930