presented by:
Rahul Kala

Abstract
Graphs find a variety of use in numerous domains especially because of their capability to model common problems. The social networking graphs that are used for social networking analysis, a feature given by various social networking sites are an example of this. Graphs can also be visualized in the search engines to carry search operations and provide results. Various searching algorithms have been developed for searching in graphs. In this paper we propose that the entire network graph be ....etc

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In mathematics and computer science, graph theory is the study of graphs, which are mathematical structures used to model pairwise relations between objects. A graph in this context is made up of vertices, nodes, or points which are connected by edges, arcs, or lines. A graph may be undirected, meaning that there is no distinction between the two vertices associated with each edge, or its edges may be directed from one vertex to another; see Graph (discrete mathematics) for more detailed definitions and for other variations in the types of grap ....etc

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Presented by:
M.S. Sujithkumar




Current State of the Art Metabolic Profiling Techniques

Metabolic Profiling: Analysis of a group of metabolites either related to a specific metabolic pathway or a class of compounds.
Metabolic Fingerprinting: Compare patterns of metabolites that change in response to disease, toxin exposure, environmental or genetic alterations.

No single technology available to detect all compounds found in plants
Combination of multiple analytical techniques

Gas ....etc

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To get full information or details of fuzzy graph theory applications please have a look on the pages

http://seminarsprojects.net/Thread-fuzzy-set-theory

if you again feel trouble on fuzzy graph theory applications please reply in that page and ask specific fields in fuzzy graph theory applications ....etc

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applications of graph theory in computer science ppt ....etc

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aradhya tutorials notes graph theory

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i want a report for application of graph theory to metabolic pathway ....etc

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Parallel algorithms for graph theory problems


Sparse and dense graphs
A graph G(V,E) is sparse if E is match smaller than O( V 2)
Matrix representation is suitable for dense graphs and list representation
for sparse
Spanning Tree
A spanning tree of a graph G is a tree that contains all vertices of G
A minimum spanning tree (MST) for a weighted graph is a spanning tree with
minimum weight
Prim s algorithm
Starts from an arbitrary vertex u
Repeat until all verti ....etc

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I need an article for Application of graph theory in real life problem to submit a paper presentaion by [email protected]
....etc

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fuzzy graph theory applications

ABSTRACT

Abstract. A fuzzy graph (f-graph) is a pair G : (s, ) where s is a fuzzy subset of a set S and is a fuzzy relation on s. A fuzzy graph H : (t, u) is called a partial fuzzy subgraph of G : (s, ) if t (u) s(u) for every u and u (u, v) (u, v) for every u and v . In particular we call a partial fuzzy subgraph H : (t, u) a fuzzy subgraph of G : (s, ) if t (u) = s(u) for every u in t * and u (u, v) = (u, v) for every arc (u, v) in u*. A connected f-graph G : (s, ) is a fuzzy tree(f-tree) if it has a ....etc

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