A note on sparse polynomial interpolation in Dickson polynomial basis
Author(s) -
Erdal Imamoglu,
Erich Kaltofen
Publication year - 2020
Publication title -
acm communications in computer algebra
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.125
H-Index - 11
eISSN - 1932-2240
pISSN - 1932-2232
DOI - 10.1145/3465002.3465003
Subject(s) - citation , polynomial , computer science , state (computer science) , polynomial interpolation , south carolina , interpolation (computer graphics) , polynomial basis , mathematics , algorithm , artificial intelligence , library science , linear interpolation , motion (physics) , mathematical analysis , public administration , political science
The sparsity t≪ deg(f) with respect to the basis Pn has been exploited—since [9] —in interpolation algorithms that reconstruct the degree/coefficient expansion (δj, cj)1≤j≤t from values ai = f(γi) at the arguments x ← γi ∈ K. Current algorithms for standard and Chebyshev bases use i = 1, . . . , N = t + B values when an upper bound B ≥ t is provided on input. The sparsity t can also be computed “on-the-fly” from N = 2t+ 1 values by a randomized algorithm which fails with probability O(ǫ deg(f)), where ǫ≪ 1 can be chosen on input. See [3] for a list of references. This note considers Dickson Polynomials for the basis in which a sparse representation is sought. Wang and Yucas [10, Remark 2.5] define the n-th degree Dickson Polynomials Dn,k(x, a) ∈ K[x] of the (k + 1)’st kind for a parameter a ∈ K, a 6= 0, and k ∈ Z≥0, k 6= 2 recursively as as follows:
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