'Connected graphs' diaporamas de présentation

Chap. 11 Graph Theory and Applications

Chap. 11 Graph Theory and Applications. Directed Graph. (Undirected) Graph. Vertex and Edge Sets. Walk. Closed (Open) Walk. Trail, Path, Circuit, and Cycle. Comparison of Walk, Trail, Path, Circuit, and Cycle. Theorem 11.1. Observation:. Theorem 11.1. It suffices to show from a to b,

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Graphs

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G-Parking Functions, Graph Searching, and Tutte Polynomial

Huafei Yan Nankai University andTexas A&M University Joint with Dimitrije Kostic. G-Parking Functions, Graph Searching, and Tutte Polynomial. 1. BFS on a connected graphs.

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Introduction To Graphs

Introduction To Graphs. In this section of notes you will learn about a new ADT: graphs. Start?. Start?. Start?. Start?. Start?. Graphs Are Related To Trees. Like a tree a graph consists of nodes (vertex) and arcs (edges) that connect the nodes

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Stefan Felsner

Stefan Felsner. A graph G is planar if it can be drawn on the plane with no crossing edges. planar graph G. planar embedding of G. Used as a starting point to find nice pictures of non-planar graphs:. Map 4-colouring:. Codeguru. Linear time algorithms for embedding :.

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Graphbots: Mobility in Discrete Spaces

Sharon Lahav. Graphbots: Mobility in Discrete Spaces. Mobility in Discrete Spaces. Move beyond robots with simple geometries (polygonal structure). Move beyond simple spaces (planar region containing polygonal obstacles). Teams of robots that operate in discrete spaces like graphs.

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Minko Markov Sofia University, Faculty of Mathematics and Informatics minkom@fmi.uni-sofia.bg

Minko Markov Sofia University, Faculty of Mathematics and Informatics minkom@fmi.uni-sofia.bg. A Linear Time Algorithm for the Longest Path Problem on 2-trees joint work with Tzvetalin Vassilev /tzvetalv@nipissingu.ca/ and Krassimir Manev /manev@fmi.uni-sofia.bg/. Structure of the lecture.

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Distance Approximating Trees: Complexity and Algorithms

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Lecture 11

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Approximating Graphic TSP by Matchings

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Lecture 11

Lecture 11. CSE 331 Sep 25, 2009. Homeworks. Please hand in your HW 2 now. HW 3 and graded HW 1 at the end of class. Graphs. Representation of relationships between pairs of entities/elements. # vertices = n #edges = m. Edge. Vertex. Paths. ,.

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- Used to solve the single-source shortest paths problem for weighted connected graphs ? Start at a vertex designated as the source ? Find shortest paths to all other vertices - Some uses for this problem: i . Transportation planning ii. Packet routing of communication networks

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