'Back edges' presentation slideshows

ITCS 6114

456 views • 44 slides

CSC 413/513: Intro to Algorithms

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Loops

Loops. Guo, Yao. Content. Concepts: Dominators Depth-First Ordering Back edges Graph depth Reducibility Natural Loops Efficiency of Iterative Algorithms. Loops are Important!. Loops dominate program execution time Needs special treatment during optimization

682 views • 37 slides

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.

361 views • 34 slides

Graph Algorithms

Graph Algorithms. Plan: DFS Topological Sorting Classification of Edges Biconnected Components. Graphs Traversal. Visiting all vertices in a systematic order. for all v in V do visited[v] = false for all v in V do if !visited[v] traversal(v) traversal(v) {

421 views • 31 slides

UPA and Restriction for All-Groups and Numeric Exponents

UPA and Restriction for All-Groups and Numeric Exponents. Matthew Fuchs, PhD Westbridge Technology matt@westbridgetech.com Allen Brown, PhD Microsoft. Why Bother?. Numeric Exponents introduced by the W3C XML Schema WG. Restriction is a subsumption relation among content models.

315 views • 31 slides

CS200: Algorithm Analysis

CS200: Algorithm Analysis. ADDITIONAL GRAPH ALGORITHMS DEPTH-FIRST search of a graph that may be directed or undirected (Lab 4). Assume an adjacency list representation. Goal of Algorithm: methodically explore each vertex and every edge by searching deeper in the graph whenever possible.

265 views • 26 slides

A Fast Algorithm To Determine Minimality of Strongly Connected Digraphs

A Fast Algorithm To Determine Minimality of Strongly Connected Digraphs. Under the direction of Dr. Robinson By Jianping Zhu. Why MSD Algorithm.

377 views • 22 slides

Elementary Graph Algorithms

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Elementary Graph Algorithms

211 views • 19 slides

Depth-First Search

Depth-First Search. Idea: Starting at a node, follow a path all the way until you cannot move any further Then backtrack and try another branch Do this until all nodes have been visited Similar to finding a route in a maze. DFS - Example. DFS(a) tree. f. b. b. b. f. f. a. a. a. a.

408 views • 13 slides

Chapter 15 Graphs

200 views • 11 slides

Tirgul 11

Tirgul 11. (and more) sample questions.

257 views • 10 slides