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Vlastnosti grafů velkého obvodu
Volec, Jan ; Kráľ, Daniel (advisor) ; Sereni, Jean-Sébastien (referee)
In this work we study two random procedures in cubic graphs with large girth. The first procedure finds a probability distribution on edge-cuts such that each edge is in a randomly chosen cut with probability at least 0.88672. As corollaries, we derive lower bounds for the size of maximum cut in cubic graphs with large girth and in random cubic graphs, and also an upper bound for the fractional cut covering number in cubic graphs with large girth. The second procedure finds a probability distribution on independent sets such that each vertex is in an independent set with probability at least 0.4352. This implies lower bounds for the size of maximum independent set in cubic graphs with large girth and in random cubic graphs, as well as an upper bound for the fractional chromatic number in cubic graphs with large girth.
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Steiner coloring of cubic graphs
Tlustá, Stanislava ; Fiala, Jiří (advisor) ; Šámal, Robert (referee)
This thesis is dedicated to the coloring of cubic graphs. It summarizes the knowledge we have about so called Steiner coloring, which is an edge-coloring such that the colors incident with one vertex form a triple of some partial Steiner system. The main objects of interest are the projective and affine systems. Afterwards the sufficient condition for universality of the system is stated and it is observed, that all other transitive Steiner triple systems satisfy it. This thesis also contains methods of construction of the coloring for the Fano plane, for the affine system Z3 3 and for the universal system created as a product of the Fano plane and the trivial system (F7 S⊠ 3). Finally an algorithm usable for the rest of the systems and graphs with bounded treewidth is presented.
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Vlastnosti grafů velkého obvodu
Volec, Jan ; Kráľ, Daniel (advisor) ; Sereni, Jean-Sébastien (referee)
In this work we study two random procedures in cubic graphs with large girth. The first procedure finds a probability distribution on edge-cuts such that each edge is in a randomly chosen cut with probability at least 0.88672. As corollaries, we derive lower bounds for the size of maximum cut in cubic graphs with large girth and in random cubic graphs, and also an upper bound for the fractional cut covering number in cubic graphs with large girth. The second procedure finds a probability distribution on independent sets such that each vertex is in an independent set with probability at least 0.4352. This implies lower bounds for the size of maximum independent set in cubic graphs with large girth and in random cubic graphs, as well as an upper bound for the fractional chromatic number in cubic graphs with large girth.
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