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ABSTRACT
The problem of devising efficient algorithms for computing Q(x1,...,xr-1, P(x1,...,xr-1)) where P and Q are multivariate polynomials is considered. It is shown that for polynomials which are completely dense an algorithm based upon evaluation and interpolation is more efficient than Horner's method. Then various characterizations for sparse polynomials are made and the subsequent methods are re-analyzed. In conclusion a test is devised which takes only linear time to compute and by which a decision can automatically be made concerning whether to use a substitution algorithm which exploits sparsity or one which assumes relatively dense inputs. This choice yields the method which takes the fewest arithmetic operations.
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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Borodin, A., "Horner's rule is uniquely optimal", Theory of Machines and Computations, ed. by Z. Kohavi and A. Paz, pp. 45-59, 1971, Academic Press
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Horowitz, E., "The efficient calculation of polynomial powers", J.CSS October, 1973
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Horowitz, E. and Sahni, S., "On the computation of powers of a class of polynomials", C.S. Tech. Report No. 72-143, Cornell University, Ithaca, New York, August, 1972
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Horowitz, E., "On the Substitution of Polynomial Forms", Cornell Computer Science Technical Report 73-160, Jan. 1963
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