'Adjacency matrices' diaporamas de présentation

MapReduce and Data Management

753 views • 75 slides

Graph Algorithms

Graph Algorithms. Ananth Grama, Anshul Gupta, George Karypis, and Vipin Kumar. To accompany the text ``Introduction to Parallel Computing'', Addison Wesley, 2003 . Topic Overview . Definitions and Representation Minimum Spanning Tree: Prim's Algorithm

963 views • 64 slides

Big Data Infrastructure

Big Data Infrastructure. CS 489/698 Big Data Infrastructure (Winter 2016). Week 5: Analyzing Graphs (1/ 2). February 2, 2016. Jimmy Lin David R. Cheriton School of Computer Science University of Waterloo. These slides are available at http :// lintool.github.io /bigdata-2016w /.

587 views • 57 slides

Let us switch to a new topic:

Let us switch to a new topic: . Graphs. Introduction to Graphs. Definition: A simple graph G = (V, E) consists of V, a nonempty set of vertices, and E, a set of unordered pairs of distinct elements of V called edges. For each e?E, e = {u, v} where u, v ? V.

807 views • 51 slides

Searching in a Graph

Thinking about Algorithms Abstractly. Searching in a Graph. Representations of Graphs. Adjacency Matrices. Adjacency Lists. A. B. C. D. A. 0. 1. 1. 1. B. 1. 0. 0. 1. C. 1. 0. 0. 1. D. 1. 1. 1. 0. Adjacency Matrices.

593 views • 49 slides

Searching in a Graph

Thinking about Algorithms Abstractly. Searching in a Graph. Representations of Graphs. Adjacency Matrices. Adjacency Lists. A. B. C. D. A. 0. 1. 1. 1. B. 1. 0. 0. 1. C. 1. 0. 0. 1. D. 1. 1. 1. 0. Adjacency Matrices.

493 views • 49 slides

Representing Graphs and Graph Isomorphism (Chapter 10.3) Connectivity (Chapter 10.4)

Instructor Longin Jan Latecki latecki@temple.edu Extended and modified version of slides by Y. Peng , U. of Maryland. Representing Graphs and Graph Isomorphism (Chapter 10.3) Connectivity (Chapter 10.4). a. a. d. b. b. d. c. c. Vertex. Initial Vertex. Terminal Vertices.

491 views • 48 slides

Representing Graphs and Graph Isomorphism (Chapter 10.3) Connectivity (Chapter 10.4)

Instructor Longin Jan Latecki latecki@temple.edu Extended and modified version of slides by Y. Peng , U. of Maryland. Representing Graphs and Graph Isomorphism (Chapter 10.3) Connectivity (Chapter 10.4). a. a. d. b. b. d. c. c. Vertex. Initial Vertex. Terminal Vertices.

647 views • 47 slides

Representing Graphs and Graph Isomorphism (Chapter 10.3) Connectivity (Chapter 10.4)

Instructor Longin Jan Latecki latecki@temple.edu Extended and modified version of slides by Y. Peng , U. of Maryland. Representing Graphs and Graph Isomorphism (Chapter 10.3) Connectivity (Chapter 10.4). a. a. d. b. b. d. c. c. Vertex. Initial Vertex. Terminal Vertices.

533 views • 47 slides

NeMoFinder: Dissecting genome-wide protein-protein intractions with meso-scale network motifs

NeMoFinder: Dissecting genome-wide protein-protein intractions with meso-scale network motifs. Mike Yuan. Outline of this presentation. Introduction to PPI Introduction to Graph Mining Related work Problem statement Details of the NeMoFinder algorithm Summary References .

717 views • 41 slides

Math III NEW SEATS!!!

Math III NEW SEATS!!!. Sept. 3, 2013. On a separate sheet of paper, answer the following questions:. How long did you study for Matrix Test 1 in class? How long did you study outside of class? Do you feel you were prepared for this test? Why or why not?

237 views • 12 slides

Text Analysis Using Automated Language Translators

Text Analysis Using Automated Language Translators. CDT John Stanford MAJ Ian McCulloh. Agenda. Overview and Hypothesis Literature Review Motivation (Radio Address Case Study) Arabic Translation Data Conclusions and Recommendations. Overview and Hypothesis.

232 views • 11 slides