Publication | Open Access
Faster Polynomial Multiplication over Finite Fields
57
Citations
19
References
2017
Year
Computational Complexity TheoryEngineeringCryptographic PrimitiveComputational ComplexityFaster Polynomial MultiplicationApplied AlgebraAlgebraic ComplexityParallel ComputingFinite FieldsComputational Number TheoryLower BoundFinite FieldComputer ScienceCryptographyTheory Of ComputingComputer AlgebraTime ComplexityParallel ProgrammingBound M P
Polynomials over finite fields play a central role in algorithms for cryptography, error correcting codes, and computer algebra. The complexity of multiplying such polynomials is still a major open problem. Let p be a prime, and let M p ( n ) denote the bit complexity of multiplying two polynomials in F p [ X ] of degree less than n . For n large compared to p , we establish the bound M p ( n ) = O ( n log n 8 log* n log p ), where log * n = min{ k ϵ N: log … k × … log n ≤ 1} stands for the iterated logarithm. This improves on the previously best known bound M p ( n ) = O ( n log n log log n log p ), which essentially goes back to the 1970s.
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