Sparse Polynomial Interpolation in Nonstandard Bases

In this paper, we consider the problem of interpolating univariate polynomials over a field of characteristic zeros that are sparse in (a) the Pochhammer basis, or (b) the Chebyshev basis. The polynomials are assumed to be given by black boxes, i.e., one can obtain the value of a polynomial at any p...

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Bibliographic Details
Published in:SIAM journal on computing Vol. 24; no. 2; pp. 387 - 397
Main Authors: Lakshman, Y. N., Saunders, B. David
Format: Journal Article
Language:English
Published: Philadelphia, PA Society for Industrial and Applied Mathematics 01.04.1995
Subjects:
Algorithms
Codes
Exact sciences and technology
Mathematics
Methods of scientific computing (including symbolic computation, algebraic computation)
Numerical analysis. Scientific computation
Polynomials
Sciences and techniques of general use
Sparse polynomial
BCH code
Tchebychev polynomial
Polynomial interpolation
Algorithm complexity
ISSN:0097-5397, 1095-7111
Online Access:Get full text
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Summary:In this paper, we consider the problem of interpolating univariate polynomials over a field of characteristic zeros that are sparse in (a) the Pochhammer basis, or (b) the Chebyshev basis. The polynomials are assumed to be given by black boxes, i.e., one can obtain the value of a polynomial at any point by querying its black box. We describe efficient new algorithms for these problems. Our algorithms may be regarded as generalizations of Ben-Or and Tiwari's (1988) algorithm (based on the BCH decoding algorithm) for interpolating polynomials that are sparse in the standard basis. The arithmetic complexity of the algorithms is $O(t^{2} + t \log d)$, which is also the complexity of the univariate version of the Ben-Or and Tiwari algorithm. That algorithm and those presented here also share the requirement of $2t$ evaluation points.
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ISSN:0097-5397
1095-7111
DOI:10.1137/S0097539792237784