'Directed graphs' presentation slideshows

Discrete Optimization Lecture 1

Discrete Optimization Lecture 1. M. Pawan Kumar pawan.kumar@ecp.fr. Background. Ph.D., Computing Oxford Brookes University, UK, 2003-2007 Postdoc, Department of Engineering University of Oxford, UK, 2008 Postdoc, Computer Science Department Stanford University, USA, 2009-2011

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Graphs

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Graphs

Graphs. Ed. 2. and 3.: Chapter 12 Ed. 4.: Chapter 13. Graphs Graph ADT - What is a graph? - Graph methods Data structure for graphs - Edge list structure, adjacency list structure, adjacency matrix Graph Traversal - Depth-first search - Breadth-first search Directed graphs.

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Chapter 8 Graphs

Chapter 8 Graphs. Objectives. Discuss the following topics: Graphs Graph Representation Graph Traversals Shortest Paths Cycle Detection. Objectives (continued). Discuss the following topics: Spanning Trees Connectivity Topological Sort Networks Matching. Objectives (continued).

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Graph Coloring

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CS20a: NP problems

CS20a: NP problems. The SAT problem Graph theory. Time-bounded TMs. All tapes are 2-way infinite M is DTIME(T(n)) if M is deterministic For any input of length n, M takes at most T(n) steps M is NTIME(T(n)) Nondeterministic case. NP problems.

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Markov Random Fields ( MRF)

Markov Random Fields ( MRF). Presenter ? Kuang-Jui Hsu Date ? 2011/5/23(Tues.). Outline. Introduction Conditional Independence Properties Factorization Properties Illustration: Image De-noising Relation to Directed Graphs. Introduction. Based on a undirected graph

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Finding cycles using rectangular matrix multiplication and dynamic programming

Finding cycles using rectangular matrix multiplication and dynamic programming. Raphael Yuster Haifa Univ. - Oranim Uri Zwick Tel Aviv University. Matrix multiplication. =. ?. Rectangular Matrix multiplication. c. c. b. =. ?. a. a. b. a. c. a. =. ?. b. c. b.

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The Slashdot Zoo Mining a Social Network with Negative Edges

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Introduction to Graphs

Introduction to Graphs. Introduction. Graphs are a generalization of trees Nodes or verticies Edges or arcs Two kinds of graphs Directed Undirected. Introduction: Formal Definition. A graph G = (V,E) consists of a finite set of vertices, V, and a finite set of edges E.

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8.4 Closures of Relations

8.4 Closures of Relations. Definition: The closure of a relation R with respect to property P is the relation obtained by adding the minimum number of ordered pairs to R to obtain property P. In terms of the digraph representation of R

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The Zero-Error Capacity of Compound Channels

The Zero-Error Capacity of Compound Channels. Jayanth Nayak & Kenneth Rose University of California, Santa Barbara. Outline. Preliminaries Problem definition Capacity Neither side has side-information Encoder has side-information Decoder has side-information

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(More) Graphs

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Chapter 10 Link Analysis

Chapter 10 Link Analysis. Introduction. Airline Route Maps are useful Information can tell you about both history and politics Call Detail Records tell use about relationships between people Web is based on (hyper)links between documents

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Data Structures

Andreas Savva. Data Structures. Chapter 12 Graphs. H. A. H. B. H. C. Berlin. London. Vienna. C. C. C. Paris. D. Athens. E. Lisbon. C. C. Rome. Madrid. Larnaka. F. C. H. H. Olympic Airways air routes. Message transmission in a network. Benzene molecule. H. Graphs.

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Directed Graphs

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15. Directed graphs and networks

15. Directed graphs and networks. 15A Reachability and dominance in directed networks. A directed graph is a graph or network where every edge has a direction. Reachability. Reachability is the concept of how it is possible to go from one vertex in a directed network to another.

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Graphs

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