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Clique Partitions of Glued Graphs

by Chariya Uiyyasathian(corresponding, Uthoomporn Jongthawonwuth
"... A glued graph at K2-clone (K3-clone) results from combining two vertex-disjoint graphs by identifying an edge (a triangle) of each original graph. The clique covering numbers of these desired glued graphs have been investigated recently. Analogously, we obtain bounds of the clique partition numbers ..."
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A glued graph at K2-clone (K3-clone) results from combining two vertex-disjoint graphs by identifying an edge (a triangle) of each original graph. The clique covering numbers of these desired glued graphs have been investigated recently. Analogously, we obtain bounds of the clique partition numbers

The Facial Structure of the Clique Partitioning Polytope

by Maarten Oosten, Jeroen H. G. C. Rutten, Frits C. R. Spieksma , 1996
"... The clique partitioning problem (CPP) can be formulated as follows. Given is a complete graph G = (V; E), with edge weights w ij 2 R for all fi; jg 2 E. A subset A ` E is called a clique partition if there is a partition of V into non-empty, disjoint sets V 1 ; : : : ; V k , such that each V p (p = ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
The clique partitioning problem (CPP) can be formulated as follows. Given is a complete graph G = (V; E), with edge weights w ij 2 R for all fi; jg 2 E. A subset A ` E is called a clique partition if there is a partition of V into non-empty, disjoint sets V 1 ; : : : ; V k , such that each V p (p

ON THE FLY CLIQUE PARTITIONING FOR REGISTER ALLOCATION

by Ali Sianati, Rasoul Saneifard, Masoud Abbaspour
"... In this endeavor a novel approach to a register allocation algorithm for Digital Synthesis is presented. Register allocation and functional unit allocation can reduce the overall cost of Application Specific Integrated Circuits (ASICS). Clique partitioning is one of the most efficient methods to ass ..."
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In this endeavor a novel approach to a register allocation algorithm for Digital Synthesis is presented. Register allocation and functional unit allocation can reduce the overall cost of Application Specific Integrated Circuits (ASICS). Clique partitioning is one of the most efficient methods

Clique partitions and coverings of graphs

by Michael S. Cavers , 2005
"... ..."
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Maximal-clique Partitions

by Chariya Uiyyasathain, Kathryn L. Fraughnaugh, William E. Cherowitzo, Harvey J. Greenberg, Michael S. Jacobson, Kathryn L. Fraughnaugh , 2003
"... has been approved by ..."
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has been approved by

Dominator Colorings and Safe Clique Partitions

by Dominator Colorings, Gera Ralucca, Ralucca Gera, Craig Rasmussen, Steve Horton , 2006
"... Given a graph G, the dominator coloring problem seeks a proper coloring of G with the additional property that every vertex in the graph dominates an entire color class. The safe clique partition problem seeks a partition of the vertices of a graph into cliques with the additional property that for ..."
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Given a graph G, the dominator coloring problem seeks a proper coloring of G with the additional property that every vertex in the graph dominates an entire color class. The safe clique partition problem seeks a partition of the vertices of a graph into cliques with the additional property

On Intersection Representations and Clique Partitions of Graphs

by Tao-ming Wang, Jun-lin Kuo , 2008
"... A multifamily set representation of a finite simple graph G is a multifamily F of sets (not necessarily distinct) for which each set represents a vertex in G and two sets in F intersects if and only if the two corresponding vertices are adjacent. For a graph G, an edge clique covering (edge clique p ..."
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partition, respectively) Q is a set of cliques for which every edge is contained in at least (exactly, respectively) one member of Q. In 1966, P. Erdös, A. Goodman, and L. Pósa (The representation of a graph by set intersections, Canadian J. Math., 18, pp.106-112) pointed out that for a graph there is a one

Parameterized Complexity of the Clique Partition Problem

by Egbert Mujuni, Frances Rosamond - In the fourteenth Computing: The Australasian Theory Symposium , 2008
"... The problem of deciding whether the edge-set of a given graph can be partitioned into at most k cliques is well known to be NP-complete. In this paper we investigate this problem from the point of view of parameterized complexity. We show that this problem is fixed parameter tractable if we choose t ..."
Abstract - Cited by 7 (2 self) - Add to MetaCart
The problem of deciding whether the edge-set of a given graph can be partitioned into at most k cliques is well known to be NP-complete. In this paper we investigate this problem from the point of view of parameterized complexity. We show that this problem is fixed parameter tractable if we choose

Proving Facetness of Valid Inequalities for the Clique Partitioning Polytope

by Hans-Jürgen Bandelt, Maarten Oosten, Jeroen H. G. C. Rutten, Frits C.R. Spieksma , 1996
"... In this paper we prove two lifting theorems for the clique partitioning problem. Each of these theorems implies that if a valid inequality satisfies certain conditions, then it de#nes a facet of the clique partitioning polytope. In particular if a valid inequality defines a facet of the polytope cor ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
In this paper we prove two lifting theorems for the clique partitioning problem. Each of these theorems implies that if a valid inequality satisfies certain conditions, then it de#nes a facet of the clique partitioning polytope. In particular if a valid inequality defines a facet of the polytope

An Efficient Algorithm for the Minimum Clique Partition Problem

by Anatoly Plotnikov , 2000
"... We design an algorithm for an exact solution of the Minimum Clique Partition Problem. For an arbitrary undirected graph G, we use a technique for finite partially ordered sets, in particular, a partition of such sets into the minimum number of paths. The running time of the algorithm is equal to O(n ..."
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We design an algorithm for an exact solution of the Minimum Clique Partition Problem. For an arbitrary undirected graph G, we use a technique for finite partially ordered sets, in particular, a partition of such sets into the minimum number of paths. The running time of the algorithm is equal to O
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