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  • Informatické kolokvium 16. 5. The "art of trellis decoding" is fixed-parameter tractable

    Informatické kolokvium 16. 5. 2017, 14:00 posluchárna D2
    Dr. Eun Jung Kim, Centre national de la recherche scientifique, Paris
    The "art of trellis decoding" is fixed-parameter tractable
    Abstrakt: Given n subspaces of a finite-dimensional vector space over a fixed
    finite field F, we wish to find a linear layout V1, V2, . . . , Vn of the
    subspaces such that dim((V1 + V2 +···+Vi)∩(Vi+1 +···+Vn)) ≤ k for all i; such a
    linear layout is said to have width at most k. When restricted to 1- dimensional
    subspaces, this problem is equivalent to computing the trellis- width (or
    minimum trellis state-complexity) of a linear code in coding theory and
    computing the path-width of an F-represented matroid in matroid theory. We
    present a fixed-parameter tractable algorithm to construct a linear layout of
    width at most k, if it exists, for input subspaces of a finite-dimensional
    vector space over F. As corollaries, we obtain a fixed-parameter tractable
    algorithm to produce a path- decomposition of width at most k for an input F-
    represented matroid of path-width at most k, and a fixed-parameter tractable
    algorithm to find a linear rank-decomposition of width at most k for an input
    graph of linear rank-width at most k. In both corollaries, no such algorithms
    were known previously. Our approach is based on dynamic programming combined
    with the idea developed by Bodlaender and Kloks (1996) for their work on
    path-width and tree-width of graphs.

    It was previously known that a fixed-parameter tractable algorithm exists for
    the decision version of the problem for matroid path-width; a theorem by Geelen,
    Gerards, and Whittle (2002) implies that for each fixed finite field F, there
    are finitely many forbidden F-representable minors for the class of matroids of
    path-width at most k. An algorithm by Hlineny (2006) can detect a minor in an
    input F-represented matroid of bounded branch-width. However, this indirect
    approach would not produce an actual path-decomposition. Our algorithm is the
    first one to construct such a path-decomposition and does not depend on the
    finiteness of forbidden minors.

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