An algorithm which can be used to find integer relations between real numbers ,
...,
such that
with not all .
Although the algorithm operates by manipulating a lattice, it does not reduce it
to a short vector basis, and is therefore not a lattice
reduction algorithm. PSLQ is based on a partial sum of squares scheme (like the
PSOS algorithm) implemented using QR
decomposition. It was developed by Ferguson and Bailey (1992). A much simplified
version of the algorithm was subsequently developed by Ferguson et al. (1999),
which also extends the algorithm to complex numbers and quaternions. Ferguson et
al. (1999) also demonstrated that PSLQ is distinct from the HJLS
algorithm.
The PSLQ algorithm terminates after a number of iterations bounded by a polynomial in and uses a numerically stable matrix
reduction procedure (Ferguson and Bailey 1992). PSLQ tends to be faster than the
Ferguson-Forcade algorithm and LLL
algorithm because of clever techniques that allow machine arithmetic to be used
at many intermediate steps. The LLL algorithm, by
comparison, must use moderate precision, although generally not as much as the HJLS algorithm.
While the LLL algorithm is a more general lattice reduction algorithm than PSLQ, using LLL to obtain integer relations is in some
sense a "trick," whereas with PSLQ one gets either a relation or lower
bounds on degrees of polynomials and sizes of coefficients for which such a relation
must satisfy.
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Organic
Mathematics. Proceedings of the Workshop Held in Burnaby, BC, December 12-14, 1995
(Ed. J. Borwein, P. Borwein, L. Jörgenson, and R. Corless).
Providence, RI: Amer. Math. Soc., pp. 73-88, 1997. http://www.cecm.sfu.ca/organics/papers/bailey/. Bertok, P. "PSLQ Integer Relation Algorithm Implementation."
http://library.wolfram.com/infocenter/MathSource/4263/.Borwein,
J. and Bailey, D. Mathematics
by Experiment: Plausible Reasoning in the 21st Century. Wellesley, MA: A
K Peters, pp. 51-54, 2003.Borwein, J. M. and Corless, R. M.
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"Integer Relations." http://www.cecm.sfu.ca/projects/IntegerRelations/.Crandall,
R. E. Topics
in Advanced Scientific Computation. New York: Springer-Verlag, 1996.Ferguson,
H. R. P. and Bailey, D. H. "A Polynomial Time, Numerically Stable
Integer Relation Algorithm." RNR Techn. Rept. RNR-91-032, Jul. 14, 1992.Ferguson,
H. R. P.; Bailey, D. H.; and Arno, S. "Analysis of PSLQ, An Integer
Relation Finding Algorithm." Math. Comput.68, 351-369, 1999.Zimmerman,
P. "Implementation of PSLQ in GMP." http://www.loria.fr/~zimmerma/free/pslq-1.0.c.