Titlebook: Computing and Combinatorics; 17th Annual Internat Bin Fu,Ding-Zhu Du Conference proceedings 2011 Springer-Verlag GmbH Berlin Heidelberg 201

Baffle

,Mengenma?e, Einheiten, Stoffdaten,blem is its flexibility, since it can be defined for a whole range of functions and a whole range of underlying groups. In a way, this distinguishes it from the hidden subgroup problem where more stringent requirements about the existence of a periodic subgroup have to be made. And yet, the hidden s

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Inferior

https://doi.org/10.1007/3-540-32514-Xligned squares model is used to represent imprecise input data. If squares are non-overlapping and of different sizes, the time complexity of the best known algorithm is .(..). If squares are allowed to overlap but have the same size, the time complexity of the best known algorithm is .(..). In this

冷淡一切

Der 1. Hauptsatz der Thermodynamik,estion whether there exists a straight-line drawing of . such that each vertex is represented as a distinct point of . as well as to provide an embedding if one does exist. Recently, in?[15], a complete characterization for this problem on a special class of graphs known as the plane 3-trees was pre

Lime石灰

輕率的你

Cograph Editing: Complexity and Parameterized Algorithms,nal complexity of this problem was open in the past. In this paper, we show that this problem is NP-hard, and present a parameterized algorithm based on a refined search tree technique with a running time of .(4.612.?+?|.|.)), which improves the trivial algorithm of running time .(6.?+?|.|.).

愚蠢人

Dominating Set Counting in Graph Classes,ynomial-time algorithms to count the number of dominating sets (and minimum dominating sets) in interval graphs and trapezoid graphs. They are based on dynamic programming. With the help of dynamic update on a binary tree, we further reduce the time complexity. On the other hand, we prove that count

AGOG

The Density Maximization Problem in Graphs,n a . graph .?=?(.,.) with edge weights ..?∈?? and edge lengths ?.?∈?? for .?∈?. we define the density of a . subgraph .?=?(.′,.′)???. as the ratio .. We consider the problem of computing a maximum density pattern . with weight at least . and and length at most . in a host ...We consider this proble

喃喃訴苦

FlipCut Supertrees: Towards Matrix Representation Accuracy in Polynomial Time,erent ways, to cope with contradictory information in the input. In particular, there exist methods based on encoding the input trees in a matrix, and methods based on finding minimum cuts in some graph. Matrix representation methods compute supertrees of superior quality, but the underlying optimiz

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