6 research outputs found

    Sublinear Root Detection and New Hardness Results for Sparse Polynomials over Finite Fields

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    Topology for statistical modeling of petascale data.

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    Faster p-adic Feasibility for Certain Multivariate Sparse Polynomials

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    Wepresentalgorithmsrevealingnewfamiliesofpolynomialsadmittingsub-exponentialdetection of p-adic rational roots, relative to the sparse encoding. For instance, we prove NP-completeness for the case of honest n-variate (n+1)-nomials and, for certain special cases with p exceeding the Newton polytope volume, constant-time complexity. Furthermore, using the theory of linear forms in p-adic logarithms, we prove that the case of trinomials in one variable can be done in NP. The best previous complexity upper bounds for all these problems were EXPTIME or worse.Finally,weprovethatdetectingp-adicrationalrootsforsparsepolynomialsinonevariable is NP-hard with respect to randomized reductions. The last proof makes use of an efficient construction of primes in certain arithmetic progressions. The smallest n where detecting p-adic rational roots for n-variate sparse polynomials is NP-hard appears to have been unknown
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