SIAM Journal on Computing · 1995 · 53 citations · 9 references
ComputingComputer ScienceAlgorithmsComputational GeometryTheory Of ComputationApproximation AlgorithmsComputational ComplexityChebyshev PolynomialsComplexityPolynomial InterpolationSparse Polynomial Algorithms
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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J. R., T. J. Rivlin · Mathematics of Computation · 1976 · 327 citations
Interpolating polynomials from their values
Richard Zippel · Journal of Symbolic Computation · 1990 · 196 citations