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- Lattice sieving is a technique for finding smooth values of a bivariate polynomial over a large region. It is almost exclusively used in conjunction with the number field sieve. The original idea of the lattice sieve came from John Pollard. The algorithm implicitly involves the ideal structure of the number field of the polynomial; it takes advantage of the theorem that any prime ideal above some rational prime p can be written as . One then picks many prime numbers q of an appropriate size, usually just above the factor base limit, and proceeds by For each q, list the prime ideals above q by factorising the polynomial f(a,b) over For each of these prime ideals, which are called 'special 's, construct a reduced basis for the lattice L generated by ; set a two-dimensional array called the to zero.For each prime ideal in the factor base, construct a reduced basis for the sublattice of L generated byFor each element of that sublattice lying within a sufficiently large sieve region, add to that entry.Read out all the entries in the sieve region with a large enough value For the number field sieve application, it is necessary for two polynomials both to have smooth values; this is handled by running the inner loop over both polynomials, whilst the special-q can be taken from either side. (en)
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- Lattice sieving is a technique for finding smooth values of a bivariate polynomial over a large region. It is almost exclusively used in conjunction with the number field sieve. The original idea of the lattice sieve came from John Pollard. The algorithm implicitly involves the ideal structure of the number field of the polynomial; it takes advantage of the theorem that any prime ideal above some rational prime p can be written as . One then picks many prime numbers q of an appropriate size, usually just above the factor base limit, and proceeds by (en)
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