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Séminaires du Pôle 2 : "Optimisation combinatoire, algorithmique"

publié le , mis à jour le

Organisation.

Fabio Furini et Florian Sikora

Liste de diffusion.

Possibilité de s’inscrire à la liste de diffusion en envoyant un email à :
florian . sikora @ dauphine . fr

Les séminaires ont lieu en général le lundi à 14h.

Prochains séminaires :

lundi 13 novembre 2017, 14h, salle A (C206, 2ème étage) : Tomáš Toufar (Charles University, Czech Republic) : Parameterized Approximation Schemes for Steiner Trees with Small Number of Steiner Vertices

We study the Steiner Tree problem, in which a set of terminal vertices
needs to be connected in the cheapest possible way in an edge-weighted
graph. This problem has been extensively studied from the viewpoint of
approximation and also parametrization. In particular, on one hand
Steiner Tree is known to be APX-hard, and W[2]-hard on the other, if
parameterized by the number of non-terminals (Steiner vertices) in the
optimum solution. In contrast to this we
give an efficient parameterized approximation scheme (EPAS), which
circumvents both hardness results. Moreover, our methods imply the
existence of a polynomial size approximate kernelization scheme
(PSAKS) for the assumed parameter.
We further study the parameterized approximability of other variants
of Steiner Tree, such as Directed Steiner Tree and Steiner Forest. For
neither of these an EPAS is likely to exist for the studied parameter :
for Steiner Forest an easy observation shows that the problem is
APX-hard, even if the input graph contains no Steiner vertices. For
Directed Steiner Tree we prove that computing a constant approximation
for this parameter is W[1]-hard. Nevertheless, we
show that an EPAS exists for Unweighted Directed Steiner Tree. Also we
prove that there is an EPAS and a PSAKS for Steiner Forest if in
addition to the number of Steiner vertices, the number of connected
components of an optimal solution is considered to be a parameter.

lundi 20 novembre 2017, 14h, P 301 : Julien Baste (LIP6) : F-M-DELETION parameterized by treewidth

For a fixed collection of graphs F, the F-M-DELETION problem consists in, given a graph G and an integer k, decide whether there exists a set S of vertices of G of size at most k such that G without the vertices of S does not contain any of the graphs of F as a minor. This problem is a generalization of some well known problems as VERTEX COVER (F=K_2), FEEDBACK VERTEX SET (F=K_3), or VERTEX PLANARIZATION (F=K_5, K_3,3 ). We are interested in the parameterized complexity of F-M-DELETION when the parameter is the treewidth of the input graph, denoted by tw. Our objective is to determine, for a fixed F, the smallest function f such that F-M-DELETION can be solved in time f(tw)*poly(n) on n-vertex graphs.

jeudi 30 novembre 2017, 11h30, A 711 : Benoît Gaüzère (LITIS) : Titre à venir

lundi 11 décembre 2017, 14h, A 304 : Ararat Harutyunyan (LAMSADE) : Titre à venir

Résumé à venir.


Séminaires précédents :

lundi 16 octobre 2017, 14h, salle A (2ème étage) : Eunjung Kim (LAMSADE) : Erdos-Posa Property of Chordless Cycles and its Applications

A chordless cycle is a cycle of length at least 4 that has no chord. We prove that the class of all chordless cycles has the Erdos-Posa property, which resolves the major open question concerning the Erdos-Posa property. We complement our main result by showing that the class of all chordless cycles of length at least l for any fixed l ≥ 5 does not have the Erdos-Posa property.

Our proof for chordless cycles is constructive : in polynomial time, one can either find k + 1 vertex-disjoint chordless cycles, or ck2 log k vertices hitting every chordless cycle for some constant c. It immediately implies an approximation algorithm of factor O(opt log opt) for Chordal Vertex Deletion, which improves the best known approximation by Agrawal et. al. The improved approximation algorithm entails improvement over the known kernelization for Chordal Vertex Deletion.

As a corollary, for a non-negative integral function w defined on the vertex set of a graph G, the minimum value \sum_x\in S w(x) over all vertex sets S where G − S is forest is at most O(k2 log k) where k is the maximum number of cycles (not necessarily vertex-disjoint) in G such that each vertex v is used at most w(v) times.

lundi 2 octobre 2017, 14h, P303 : Giuseppe F. Italiano (Universita’ di Roma "Tor Vergata") : 2-Connectivity in Directed Graphs

We survey some recent results on 2-edge and 2-vertex
connectivity in directed graphs. Despite being complete analogs of the
corresponding notions on undirected graphs, in digraphs 2-connectivity
has a much richer and more complicated structure. For undirected
graphs it has been known for over 40 years how to compute all bridges,
articulation points, 2-edge- and 2-vertex-connected components in
linear time, by simply using depth first search. In the case of
digraphs, however, the very same problems have been much more
challenging and have been tackled only very recently.

Exposés de 2016-2017.
Exposés de 2015-2016.
Exposés de 2014-2015.

Pour les exposés antérieurs, voir cette page.

Agenda

séminaire

  • Lundi 20 novembre 14:00-15:00 - Julien Baste - LIP6

    Séminaires du Pôle 2 : "Optimisation combinatoire, algorithmique" F-M-DELETION parameterized by treewidth

    Lieu : P 301


  • Jeudi 30 novembre 11:30-12:30 - Benoît Gaüzère - LITIS

    Séminaires du Pôle 2 : "Optimisation combinatoire, algorithmique"

    Lieu : A711


  • Lundi 11 décembre 14:00-15:00 - Ararat Harutyunyan - LAMSADE

    Séminaires du Pôle 2 : "Optimisation combinatoire, algorithmique" Ararat Harutyunyan

    Lieu : P303


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