17,863 research outputs found

    Finding the Minimum-Weight k-Path

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    Given a weighted nn-vertex graph GG with integer edge-weights taken from a range [−M,M][-M,M], we show that the minimum-weight simple path visiting kk vertices can be found in time \tilde{O}(2^k \poly(k) M n^\omega) = O^*(2^k M). If the weights are reals in [1,M][1,M], we provide a (1+ε)(1+\varepsilon)-approximation which has a running time of \tilde{O}(2^k \poly(k) n^\omega(\log\log M + 1/\varepsilon)). For the more general problem of kk-tree, in which we wish to find a minimum-weight copy of a kk-node tree TT in a given weighted graph GG, under the same restrictions on edge weights respectively, we give an exact solution of running time \tilde{O}(2^k \poly(k) M n^3) and a (1+ε)(1+\varepsilon)-approximate solution of running time \tilde{O}(2^k \poly(k) n^3(\log\log M + 1/\varepsilon)). All of the above algorithms are randomized with a polynomially-small error probability.Comment: To appear at WADS 201

    Monomial Testing and Applications

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    In this paper, we devise two algorithms for the problem of testing qq-monomials of degree kk in any multivariate polynomial represented by a circuit, regardless of the primality of qq. One is an O∗(2k)O^*(2^k) time randomized algorithm. The other is an O∗(12.8k)O^*(12.8^k) time deterministic algorithm for the same qq-monomial testing problem but requiring the polynomials to be represented by tree-like circuits. Several applications of qq-monomial testing are also given, including a deterministic O∗(12.8mk)O^*(12.8^{mk}) upper bound for the mm-set kk-packing problem.Comment: 17 pages, 4 figures, submitted FAW-AAIM 2013. arXiv admin note: substantial text overlap with arXiv:1302.5898; and text overlap with arXiv:1007.2675, arXiv:1007.2678, arXiv:1007.2673 by other author

    Genetics of polynomials over local fields

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    Let (K,v)(K,v) be a discrete valued field with valuation ring \oo, and let \oo_v be the completion of \oo with respect to the vv-adic topology. In this paper we discuss the advantages of manipulating polynomials in \oo_v[x] in a computer by means of OM representations of prime (monic and irreducible) polynomials. An OM representation supports discrete data characterizing the Okutsu equivalence class of the prime polynomial. These discrete parameters are a kind of DNA sequence common to all individuals in the same Okutsu class, and they contain relevant arithmetic information about the polynomial and the extension of KvK_v that it determines.Comment: revised according to suggestions by a refere
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