Graph :- Its a order pair G(V,E) where V is the set of vertices and E is the set of edges joining some of those those vertices. Thus a graph G(V,E) where V = {v | v is a vertex of G} and E = {(u,v) | u,v ∈ V}.
Graph Coloring :-
Vertex Coloring :- Find a vector F = (fv) ,where fv is called the color of vertex v, such that fv ≠ fu if (u,v) ∈ E .
Edge Coloring: Find a vector F = (fe) , where fe is called the color of edge e, such that fe ≠ fg if there is a common vertex u in terminals ( end points of an edge is called terminal . A terminal is one of those pair of vertices which form that edge. ) of e and g.
Algorithm :-
Frequency Exhaustive :- Choose an order of the vertices and color them one by one following that order. While coloring vertex v choose the minimum color that satisfy all constraints with so far colored vertices.
In this strategy we will put color 0 to v1 and minimum color that satisfy constraints with v1 to v2 and and minimum color that satisfy constraints with v1 and v2 to v3 so on ...
Requirement Exhaustive :- Choose an order of the vertices. Choose color 0 and following the order color those vertices with color 0 which can take this color with satisfying constraints with so far colored vertices. Now go to color 1 and do the same and so on...
This Graph coloring problem has enormous application in networking. Specially in networking we have to allocate channels or frequency to the Mobile Stations ( Mobile, Notebooks etc ) where channel assignment is reduced to a graph coloring problem.
Edge Coloring: Find a vector F = (fe) , where fe is called the color of edge e, such that fe ≠ fg if there is a common vertex u in terminals ( end points of an edge is called terminal . A terminal is one of those pair of vertices which form that edge. ) of e and g.
Algorithm :-
Frequency Exhaustive :- Choose an order of the vertices and color them one by one following that order. While coloring vertex v choose the minimum color that satisfy all constraints with so far colored vertices.
In this strategy we will put color 0 to v1 and minimum color that satisfy constraints with v1 to v2 and and minimum color that satisfy constraints with v1 and v2 to v3 so on ...
Requirement Exhaustive :- Choose an order of the vertices. Choose color 0 and following the order color those vertices with color 0 which can take this color with satisfying constraints with so far colored vertices. Now go to color 1 and do the same and so on...
This Graph coloring problem has enormous application in networking. Specially in networking we have to allocate channels or frequency to the Mobile Stations ( Mobile, Notebooks etc ) where channel assignment is reduced to a graph coloring problem.
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