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Graph theory assignment help to guarantee you the best grades

Is your graph theory assignment giving you a hard time? Strain not, for we are here to save you the time and energy by providing original, first-class, and timely graph theory homework help. We are a team of top-notch online graph theory assignment help tutors, and our business is to help you score high grades through the provision of high-quality solutions. We use the criteria of education and experience to settle on the best graph theory homework helper to handle your assignment. We also provide samples to our clients should they wish to have a glimpse of our online services.

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Category: Mathematics Assignment Help

Published on Friday, 08 March 2013 08:34

Written by Super User

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The exhaustive list of topics in Graph Theory in which we provide Help with Homework Assignment and Help with Project is as follows:

  • Graphs: Definition of a graph and directed graph, simple graph. Degree of a vertex, regular graph, bipartite graphs, subgraphs, complete graph, complement of a graph, operations of graphs, isomorphism and homomorphism between two graphs, directed graphs and relations.
  • Paths and Circuits: Walks, paths and circuits, connectedness of a graph, Disconnected graphs and their components, Konigsberg 7-bridge problem, Around the world problem, Euler graphs, Hamiltonian paths and circuits, Existence theorem for Eulerian and Hamiltonian graphs.
  • Trees and Fundamental circuits: Trees and their properties, distance and centre in a tree and in a graph, rooted and binary trees, spanning trees and forest, fundamental circuits, cut sets,  connectivity and separability,1-isomorphism, 2-isomorphism, breadth first and depth first search.
  • Matrix representation of graphs:  Incidence matrix and its sub matrices, Reduced incidence matrix, circuit matrix, fundamental circuit  matrix, cut set matrix, fundamental cut set  matrix, path matrix, adjacency matrix of a graph and of digraph.
  • Planar and Dual graph: Planar graphs, Euler’s formula, Kuratowski’s graphs, detections of planarity, geometric dual, combinatorial dual.
  • Coloring of planar graphs: Chromatic number, independent set of vertices, maximal independent set, chromatic partitioning, dominating set, minimal dominating set, chromatic polynomial, coloring and four colour problem, coverings, machings in a graph.
  • Graph Algorithms: Network flows, Ford-Fulkerson algorithm for maximum flow, Dijkstra algorithm for shortest path between two vertices, Kruskal and Prim’s  algorithms for minimum spanning tree.