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Detecting lacunary perfect powers and computing their roots (2009)

by Mark Giesbrecht, Daniel S. Roche
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Supersparse black box rational function interpolation

by Erich L. Kaltofen, Michael Nehring - Manuscript , 2011
"... We present a method for interpolating a supersparse blackbox rational function with rational coefficients, for example, a ratio of binomials or trinomials with very high degree. We input a blackbox rational function, as well as an upper bound on the number of non-zero terms and an upper bound on the ..."
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We present a method for interpolating a supersparse blackbox rational function with rational coefficients, for example, a ratio of binomials or trinomials with very high degree. We input a blackbox rational function, as well as an upper bound on the number of non-zero terms and an upper bound on the degree. The result is found by interpolating the rational function modulo a small prime p, and then applying an effective version of Dirichlet’s Theorem on primes in an arithmetic progression progressively lift the result to larger primes. Eventually we reach a prime number that is larger than the inputted degree bound and we can recover the original function exactly. In a variant, the initial prime p is large, but the exponents of the terms are known modulo larger and larger factors of p − 1. The algorithm, as presented, is conjectured to be polylogarithmic in the degree, but exponential in the number of terms. Therefore, it is very effective for rational functions with a small number of non-zero terms, such as the ratio of binomials, but it quickly becomes ineffective for a high number of terms. The algorithm is oblivious to whether the numerator and denominator have a common factor. The algorithm will recover the sparse form of the rational function, rather than the reduced form, which could be dense. We have experimentally tested the algorithm in the case of under 10 terms in numerator and denominator combined and observed its conjectured high efficiency.

Various lectures notes I have taken

by James H. Davenport , 2009
"... 1.1 Sparse LU Factorization using FPGAs — Jeremy Johnson (Drexel) 4 ..."
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1.1 Sparse LU Factorization using FPGAs — Jeremy Johnson (Drexel) 4

University of Western Ontario:

by Keith Geddes (waterloo Retired, Peter Borwein Mathematics, Petr Lisonek Mathematics, Marnie Mishna Mathematics, Michael Monagan Mathematics, George Labahn, Computing Science, Eric Schost, Computer Science, Vahid Dabbaghian, Ilias Kotsirias, Wilfred Laurier , 2010
"... Project website: ..."
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Project website:
The National Science Foundation
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