11/19/2002 5:00pm-7:00pm ECOT 832
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Efficient Algorithms for Graph Coloring: Vertex, Edge, List, Total, and Acyclic Coloring
Computer Science PhD Candidate
A proper coloring of a graph is a partition of its elements in such a way that
no two adjacent or incident elements belong to the same set in the partition.
It is a vertex coloring, an edge coloring, or a total coloring, according as
the elements to be partitioned are the vertices alone, the edges alone, or both
the vertices and edges, respectively. A list coloring is a proper coloring
subject to an extra condition that a color to be assigned to an element must
come from that element's set (``list'') of colors priorly associated with that
element as part of the input. A proper vertex (or edge) coloring is acyclic if
there is no 2-colored cycle. A subcubic graph is a graph having maximum degree
not exceeding three.
This work gives the first linear-time algorithm to list-vertex-color, whenever
possible, any graph every vertex of which has at least as many colors in its
list as the maximum degree of the graph. It also gives the simplest known
linear-time algorithms for 4-edge-coloring and 4-list-edge-coloring subcubic
graphs. It also gives the first linear-time algorithms for 5-total-coloring,
5-list-total-coloring, acyclically 4-vertex-coloring, and acyclically
5-edge-coloring subcubic graphs. It also gives the first randomized,
linear-work with high probability, EREW PRAM algorithm for 4-edge-coloring and
4-list-edge-coloring subcubic graphs.
The number of colors used in each of the coloring algorithms on subcubic graphs
is the least possible with respect to the class of subcubic graphs. In other
words, for each problem on subcubic graphs treated herein there exist some
subcubic graphs that require as many colors as used by the algorithm. The
results of this work are achieved through the use of two main techniques
developed by the author.
The first technique is a method of ordering the vertices and edges of a graph
so that a semi-greedy algorithm can be used to color them. The second technique
is a simple principle for decomposing subcubic graphs into two simpler
subgraphs. Solving a subcubic graph problem then amounts to solving a
subproblem on each subgraph and combining the two solutions into a solution to
the original problem.
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