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Sep 28, 2021 at 19:48 comment added Max Alekseyev @AlexanderChervov: Yes and No. In this context, LLL solves problem in $\ell^2$ norm, while ILP does that in $\ell^\infty$ norm; LLL solves the problem approximately, ILP does that exactly.
Sep 28, 2021 at 19:03 comment added Alexander Chervov By the way does it mean the LLL can be applied to some class of ILP problems ?
Sep 28, 2021 at 18:06 comment added Max Alekseyev @PabloH: I've checked with a locally installed Gurobi solver, and with degree=20 it produces the same polynomial as with degree=10.
Sep 28, 2021 at 17:59 comment added Max Alekseyev @PabloH: That is an issue with the ILP solver (by default SageCell uses GPLK), which sometimes does too much relaxation and inadvertently violates some of the given constraints. This can be remediated by tightening solver parameters or switching to an exact solver (which may be time costly).
Sep 28, 2021 at 14:17 comment added Alexander Chervov @PabloH [ 221980., 56972656.] seems to be different values for the second polynom, than required
Sep 28, 2021 at 14:07 comment added Alexander Chervov @PabloH strange
Sep 28, 2021 at 13:56 comment added Pablo H For $d=10$, best_poly([3,5],[221157,31511625],10) gives $2*z^{10} + 7*z^9 - 3*z^8 - 6*z^7 - 4*z^6 + 3*z^5 + 4*z^4 - 2*z^3 + 2*z - 6$ (Best bound: 7), while for $d=20$ best_poly([3,5],[221157,31511625],20) gives $z^{11} + z^{10} - z^9 + z^8 - z^7 + z^6 + z^5 + z^4 + z^3 + z^2 + z + 1$ (Best bound: 1).
Sep 28, 2021 at 13:10 history answered Max Alekseyev CC BY-SA 4.0