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Take it one polynomial at a time.
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Our architectures are highly optimized and have low-complexity based on irreducible all one polynomial (AOP).
Thus we employ Montgomery multiplication algorithm and construct simple architecture based on irreducible all one polynomial (AOP) in GF 2m).
This paper presents bit-serial arithmetic architectures for GF 2m) based on an irreducible all one polynomial.
Accordingly, this paper proposes an efficient inner product multiplication algorithm based on an irreducible all one polynomial (AOP) and simple architecture, which has the same hardware equipment as Fenn's AB multiplier.
This work presents a ringed bit-parallel systolic architecture for computing C+AB2 over a class of GF 2m) based on the irreducible all one polynomial or the irreducible equally spaced polynomial of degree m, where A, B and C are elements in GF 2m).
This paper presents two bit-serial modular multipliers based on the linear feedback shift register using an irreducible all one polynomial (AOP) over GF 2m).
The results show that one polynomial basis is marginally more accurate than others, by providing a lower standard deviation it delivers a better performance to the algorithm when pricing a complex option as American Asian options.
The optimal robust estimator is then computed by solving one spectral factorization and one polynomial equation as in the standard optimal estimator design using a polynomial approach.
Our results suggest that one polynomial basis is best suited to perform the method when pricing an American Asian option.
The Padé approximant is of the form of one polynomial divided by another polynomial, the technique was developed around 1890 by Henri Padé.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com