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The complexity of sparse polynomial interpolation over finite fields

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Abstract

We consider the problem of interpolating and zero testing sparse multivariate polynomials over finite fields from their values given by a black box. We give an estimate of the size of a test set constructed by Clausen, Dress, Grabmeier, and Karpinski [2] and improve the previously known lower bounds on the size of a minimal test set. Further, we present for arbitrary finite fields a new interpolation algorithm that uses only evaluations over the ground field, thereby answering an open question of Dür and Grabmeier [3].

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References

  1. Ben-Or, M., Tiwari, P.: A Deterministic Algorithm for Sparse Multivariate Polynomial Interpolation. Proc. ACM STOC20, 301–309 (1988)

    Google Scholar 

  2. Clausen, M., Dress, A., Grabmeier, J., Karpinski, M.: On Zero-Testing and Interpolation ofk-sparse Multivariate Polynomials over Finite Fields. TCS84, 151–164 (1991)

    Google Scholar 

  3. Dür, A., Grabmeier, J.: Applying Coding Theory to Sparse Interpolation, SIAM J. Comput.22, 695–704 (1993)

    Google Scholar 

  4. Graham, R. L., Knuth, D. E., Patashnik, O.: Concrete Mathematics. Reading, Massachusetts: Addison-Wesley Publishing Company 1989

    Google Scholar 

  5. Grigoriev, D. Y., Karpinski, M.: The Matching Problem for Bipartite Graphs with Polynomially Bounded Permanents is in NC. Proc. IEEE FOCS28, 166–172 (1987)

    Google Scholar 

  6. Grigoriev, D. Y., Karpinski, M., Singer, M. F.: Fast Parallel Algorithms for Sparse Multivariate Polynomial Interpolation over Finite Fields. SIAM J. Comput.19, 1059–1063 (1990)

    Google Scholar 

  7. Karpinski, M.: Boolean Circuit Complexity of Algebraic Interpolation Problems. Proc. CSL '88, Lecture Notes in Computer Science Vol.385, 138–147. Berlin, Heidelberg, New York: Springer 1989

    Google Scholar 

  8. Lidl, R., Niederreiter, H.: Introduction to finite fields and their applications. Cambridge, London, New York: Cambridge University Press 1986

    Google Scholar 

  9. Roth, R. M., Benedek, G. M.: Interpolation and Approximation of Sparse Multivariate Polynomials over GF(2). SIAM J. Comput.20, 291–314 (1991)

    Google Scholar 

  10. Werther, K.: Interpolation und Approximation Boolescher Formeln. Diploma Thesis, University of Bonn, FRG (1991)

    Google Scholar 

  11. Zippel, R.: Probabilistic Algorithms for Sparse Polynomials. Lecture Notes in Computer Science Vol. 72. Berlin, Heidelberg, New York: Springer 1979

    Google Scholar 

  12. Zippel, R.: Interpolating Polynomials from their Values. J. Symb. Comp.9, 375–403 (1990)

    Google Scholar 

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Werther, K. The complexity of sparse polynomial interpolation over finite fields. AAECC 5, 91–103 (1994). https://doi.org/10.1007/BF01438278

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  • DOI: https://doi.org/10.1007/BF01438278

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