Results 271 to 280 of about 17,255,193 (320)
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On the Parallel Evaluation of Multivariate Polynomials
SIAM Journal on Computing, 1978We prove that any multivariate polynomial P of degree d that can be computed with $C(P)$ multiplications-divisions can be computed in $O(\log d \cdot \log C(P))$ parallel steps and $O(\log d)$ parallel multiplicative steps.
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Homomorphic polynomial evaluation using Galois structure and applications to BFV bootstrapping
IACR Cryptology ePrint Archive, 2023Hiroki Okada +2 more
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Asymptotic Evaluation of Gauss Polynomials
Proceedings of the American Mathematical Society, 1982An asymptotic evaluation is given for the polynomials G ( α
Gallagher, Patrick X. +2 more
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Evaluation of the heuristic polynomial GCD
Proceedings of the 1995 international symposium on Symbolic and algebraic computation - ISSAC '95, 1995The Heuristic Polynomial GCD procedure (GCDHEU) is used by the Maple computer algebra system, but no other. Because Maple has an especially efficient kernel that provides fast integer arithmetic, but a relatively slower interpreter for non-kernel code, the GCDHEU routine is especially effective in that it moves much of the computation into “bignum ...
Hsin-Chao Liao, Richard J. Fateman
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Algorithms for accurate, validated and fast polynomial evaluation
, 2009We survey a class of algorithms to evaluate polynomials with floating point coefficients and for computation performed with IEEE-754 floating point arithmetic. The principle is to apply, once or recursively, an error-free transformation of the polynomial
S. Graillat, P. Langlois, N. Louvet
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Unconditionally Secure Oblivious Polynomial Evaluation: A Survey and New Results
Journal of Computational Science and Technology, 2022Louis Cianciullo, Hossein Ghodosi
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1993
In this chapter, we consider the evaluation of a polynomial function of a single variable. We usually compute the value of an arithmetic function by replacing each arithmetic operation by its corresponding floating-point machine operation (see Section 3.5). Roundoff errors and cancellations sometimes cause the calculated result to be drastically wrong.
Ulrich Kulisch +3 more
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In this chapter, we consider the evaluation of a polynomial function of a single variable. We usually compute the value of an arithmetic function by replacing each arithmetic operation by its corresponding floating-point machine operation (see Section 3.5). Roundoff errors and cancellations sometimes cause the calculated result to be drastically wrong.
Ulrich Kulisch +3 more
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Verifiable Evaluation of Private Polynomials
2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies, 2013Polynomial evaluation is an important tool in constructing many cryptographic protocols, such as proof of retrievability and verifiable keyword search. However, for the high degree polynomials derived from very large datasets, polynomial evaluation becomes an intractable problem, especially for resource limited devices.
Xu Ma, Fangguo Zhang, Jin Li 0002
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Efficient Evaluation of Matrix Polynomials
2018We revisit the problem of evaluating matrix polynomials and introduce memory and communication efficient algorithms. Our algorithms, based on that of Patterson and Stockmeyer, are more efficient than previous ones, while being as memory-efficient as Van Loan’s variant. We supplement our theoretical analysis of the algorithms, with matching lower bounds
Niv Hoffman, Oded Schwartz, Sivan Toledo
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