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ABSTRACT
An efficient deterministic polynomial time algorithm is developed for the sparse polynomial interpolation problem. The number of evaluations needed by this algorithm is very small. The algorithm also has a simple NC implementation.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 50
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J. F. Canny , E. Kaltofen , L. Yagati, Solving systems of nonlinear polynomial equations faster, Proceedings of the ACM-SIGSAM 1989 international symposium on Symbolic and algebraic computation, p.121-128, July 17-19, 1989, Portland, Oregon, United States
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Nader H. Bshouty , Thomas R. Hancock , Lisa Hellerstein, Learning arithmetic read-once formulas, Proceedings of the twenty-fourth annual ACM symposium on Theory of computing, p.370-381, May 04-06, 1992, Victoria, British Columbia, Canada
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A. Bostan , G. Lecerf , É. Schost, Tellegen's principle into practice, Proceedings of the 2003 international symposium on Symbolic and algebraic computation, p.37-44, August 03-06, 2003, Philadelphia, PA, USA
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