'Directed edge' diaporamas de présentation

Chapter 6 Graphs

1.02k views • 82 slides

Chapter 13: Graphs

Chapter 13: Graphs. 1843. ORD. SFO. 802. 1743. 337. 1233. LAX. DFW. Nancy Amato Parasol Lab, Dept. CSE, Texas A&M University Acknowledgement: These slides are adapted from slides provided with Data Structures and Algorithms in C++, Goodrich, Tamassia and Mount (Wiley 2004).

656 views • 65 slides

IOS103 OPERATING SYSTEM DEADLOCKS

IOS103 OPERATING SYSTEM DEADLOCKS. Objectives. At the end of the course, the student should be able to: Define deadlock; Discuss how the deadlock occurs; Discuss how to prevent deadlock; Discuss how to avoid deadlock; Discuss how to detect deadlock; Discuss how to recover from deadlock.

1.6k views • 59 slides

Graph

Graph. Dr. Bernard Chen Ph.D. University of Central Arkansas. Graph Algorithms. Graphs and Theorems about Graphs Graph Algorithms minimum spanning tree. What can graphs model?. Cost of wiring electronic components together. Shortest route between two cities.

733 views • 54 slides

Logic Synthesis in IC Design and Associated Tools Review-II

589 views • 49 slides

Using Bayesian Networks to Analayze Expression Data

Using Bayesian Networks to Analayze Expression Data. Shelly Bar-Nahor. Today. 1. Introduction to Bayesian Networks. 2. Describe a method for recovering gene interactions from microarray data, using tools for learning Bayesian Networks.

641 views • 49 slides

Graphs

Graphs. Chapter 10. Chapter Summary. Graphs and Graph Models Graph Terminology and Special Types of Graphs Representing Graphs and Graph Isomorphism Connectivity Euler and Hamiltonian Graphs Shortest-Path Problems ( not currently included in overheads )

733 views • 41 slides

Improving Rank Algorithm of Search Engine with Ontology and Categorization

Improving Rank Algorithm of Search Engine with Ontology and Categorization. Qiaowei Dai Supervisor: Jiuyong Li. This presentation. Background Motivation Research strategy Modelling and evaluation process Results and analysis Goal I have achieved. Background. What is search engine?

537 views • 40 slides

GRAPHS

GRAPHS. Definition. The Graph Data Structure set V of vertices collection E of edges (pairs of vertices in V) Drawing of a Graph vertex <-> circle/oval edge <-> line connecting the vertex pair. Sample Uses. Airports and flights Persons and acquaintance relationships

541 views • 39 slides

Test Coverage

Test Coverage CS-300 Fall 2005 Supreeth Venkataraman Test Coverage Coverage is a measure of how much testing can be done given a set of test cases. Given a set of test cases, how much of the code in the program being tested is covered?

1.96k views • 36 slides

Game Theory, Social Networks, and Going Viral

377 views • 33 slides

ECE 669 Parallel Computer Architecture Lecture 10 Graph Applications

ECE 669 Parallel Computer Architecture Lecture 10 Graph Applications. Outline. Many applications can be modeled as graphs Graphs require determination of shortest paths, adjacency, and other values Efficient parallel algorithms exist which break up the search Used to model many applications

483 views • 32 slides

IS 2610: Data Structures

IS 2610: Data Structures. Graph April 5, 2004. Graph Terminology. Graph : vertices + edges Induced subgraph of a subset of vertices Connected graph: a path between every pair Maximal connected: there is no path from this subgraph to an outside vertex. Representation.

411 views • 27 slides

Chapter 9 (Part 1): Graphs

Chapter 9 (Part 1): Graphs. Introduction to Graphs (9.1) Graph Terminology (9.2). History. Basic ideas were introduced in the eighteenth century by Leonard Euler (Swiss mathematician)

424 views • 27 slides

Graphs

Graphs. 1843. ORD. SFO. 802. 1743. 337. 1233. LAX. DFW. Many slides taken from Goodrich, Tamassia 2004. A graph is a pair ( V, E ) , where V is a set of nodes, called vertices (node=vertex) E is a collection of pairs of vertices, called edges

427 views • 23 slides

Web Intelligence Complex Networks I

Web Intelligence Complex Networks I. This is a lecture for week 6 of `Web Intelligence. Example networks in this lecture come from a fabulous site of Mark Newman, U of Michigan: http://www-personal.umich.edu/~mejn/. This part of the course: WI. Introductory Points.

306 views • 21 slides

Graph

Graph. Dr. Bernard Chen Ph.D. University of Central Arkansas Fall 2008. Graph Algorithms. Graphs and Theorems about Graphs Graph ADT and implementation Graph Algorithms Shortest paths minimum spanning tree. What can graphs model?. Cost of wiring electronic components together.

375 views • 21 slides

Evaluation of strings in computer Go using APC and Seki judgement

Evaluation of strings in computer Go using APC and Seki judgement. Author: Hyun-Soo Park and Kyung-Woo Kang Presented by: Xiaozhen Niu. Outline. Introduction String Graph (SG) Rules Experiments Summary. Introduction. Problem: life-and-death of strings Major issues:

271 views • 19 slides

Graphs

300 views • 14 slides

Graphs

Graphs. 1843. ORD. SFO. 802. 1743. 337. 1233. LAX. DFW. A graph is a pair ( V, E ) , where V is a set of nodes, called vertices E is a collection of pairs of vertices, called edges Vertices and edges are positions and store elements Example:

251 views • 13 slides