'Strongly connected components' presentation slideshows

Applications of graph traversals

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CS473-Algorithms I

CS473-Algorithms I. Lecture 13-A Graphs. Graphs A directed graph (or digraph ) G is a pair ( V , E ), where V is a finite set, and E is a binary relation on V The set V : Vertex set of G The set E : Edge set of G

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Some Examples of Visualization in Data Mining

Some Examples of Visualization in Data Mining. by Bruce Golden R. H. Smith School of Business University of Maryland. Presented at CORS 2002, Toronto, June 2002. Collaborators. Ed Condon, University of Maryland S. Lele, University of Maryland S. Raghavan, University of Maryland

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Expanded Depth-First Search

Expanded Depth-First Search. Features of the expanded DFS algorithm We use colorings of the vertices, using white, gray and black white: undiscovered gray: discovered, but we have not yet scanned all of its adjacent vertices black: discovered and all adjacent vertices have been scanned

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Structure of The World Wide Web

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Graph Traversal

Graph Traversal. Chapter 9 Used lecture slides of Skiena. Graphs. Types of Graphs. Types of Graphs. Data Structures for Graphs. Data Structures for Graphs. Data Structures for Graphs.

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Data Structures & Algorithms Digraphs and DAGs

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Directed Acyclic Graph

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Lecture 16: DFS, DAG, and Strongly Connected Components

Lecture 16: DFS, DAG, and Strongly Connected Components. Shang-Hua Teng. Directed Acyclic Graphs. A directed acyclic graph or DAG is a directed graph with no directed cycles:. DFS and DAGs. Theorem: a directed graph G is acyclic iff a DFS of G yields no back edges:

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Wednesday, March 8, 2000 Jincheng Gao Department of Geography, KSU Readings:

Lecture 22. Uncertainty Reasoning Presentation(2 of 4) Learning Bayesian Networks from Data. Wednesday, March 8, 2000 Jincheng Gao Department of Geography, KSU Readings:

255 views • 15 slides