'Graph traversal' presentation slideshows

Graph & BFS

1.62k views • 130 slides

CS 235102 Data Structures ( ???? )

CS 235102 Data Structures ( ???? ). Chapter 6: Graph Algorithms Spring 2012. Seven Bridge. Euler: the first recorded use of graph land : A ? B ? C ? D bridge: a ? b ? c ? d ? e ? f ? g. Seven Bridge.

1.32k views • 113 slides

Data Structures and Algorithms Graphs

Data Structures and Algorithms Graphs. Fall 2006 Major part of this presentation is courtesy of Dr.Bingol. Content. Motivation Graph Directed Graph Undirected Graph Representation Implementation Algorithms Graph Traversal Shortest Path Minimum Cost Spanning Trees

892 views • 74 slides

Advanced Graph Modelling and Searching

Advanced Graph Modelling and Searching. HKOI Training 2008. Graph. A graph is a set of vertices and a set of edges G = (V, E) Number of vertices = |V| Number of edges = |E| We assume simple graph, so |E| = O(|V| 2 ). Trees in graph theory.

788 views • 66 slides

RAIK 283: Data Structures & Algorithms

RAIK 283: Data Structures & Algorithms. Brute Force * Dr. Ying Lu ylu@cse.unl.edu. September 20, 2012. * slides referred to http://www.aw-bc.com/info/levitin. Brute force. A straightforward approach usually based on problem statement and definitions Examples: Selection Sort

692 views • 59 slides

Data Structures

Data Structures. Graphs. Trees as Graphs. Every tree is a graph with some restrictions: The tree is directed There is exactly one directed path from the root to every node. A. B. C. D. E. F. G. H. Moving from Trees to Graphs.

578 views • 44 slides

Graph Traversal

Graph Traversal. s. s. Notice that the . s. discovery edges . spanning . form a . tree . of the . connected . component of the . starting vertex . . s. Recall that a . spanning tree. is a . spanning subgraph. that is a tree. spanning subgraph. A .

484 views • 39 slides

Graph & BFS

518 views • 37 slides

Chap 5: Decrease & conquer

Chap 5: Decrease & conquer. Objectives. To introduce the decrease-and-conquer mind set To show a variety of decrease-and-conquer solutions: Depth-First Graph Traversal Breadth-First Graph Traversal Fake-Coin Problem Interpolation Search

538 views • 30 slides

Basic search techniques

590 views • 26 slides

Chapter 5

Chapter 5. Decrease and Conquer. Homework 7. hw7 (due 3/17) page 127 question 5 page 132 questions 5 and 6 page 137 questions 5 and 6 page 168 questions 1 and 4. Decrease and Conquer Also referred to as inductive or incremental approach.

414 views • 26 slides

Chapter 5

Chapter 5. Decrease-and-Conquer. Reduce problem instance to smaller instance of the same problem Solve smaller instance Extend solution of smaller instance to obtain solution to original instance Can be implemented either top-down or bottom-up

255 views • 25 slides

A Regression Test Selection Technique for Aspect-Oriented Programs

A Regression Test Selection Technique for Aspect-Oriented Programs. Guoqing Xu The Ohio State University xug@cse.ohio-state.edu. Outline. background Problem statement and motivation Our analysis Implementation status Related work. Regression Test Selection.

325 views • 24 slides

Presented by Ozgur D. Sahin

Presented by Ozgur D. Sahin. Outline. Introduction Neighborhood Functions ANF Algorithm Modifications Experimental Results Data Mining using ANF Conclusions. Introduction & Motivation. Graph-based data is becoming more importatnt

331 views • 23 slides

339 views • 20 slides

Spanning Trees

Spanning Trees. Longin Jan Latecki Temple University based on slides by David Matuszek, UPenn, Rose Hoberman, CMU, Bing Liu, U. of Illinois, Boting Yang, U. of Regina. A connected, undirected graph. Four of the spanning trees of the graph. Spanning trees.

182 views • 18 slides

Theory of Algorithms: Decrease and Conquer

Theory of Algorithms: Decrease and Conquer. James Gain and Edwin Blake {jgain | edwin} @cs.uct.ac.za Department of Computer Science University of Cape Town August - October 2004. Objectives. To introduce the decrease-and-conquer mind set To show a variety of decrease-and-conquer solutions:

327 views • 17 slides

Graph databases

551 views • 15 slides

Course Review

COMP171 Spring 2009. Course Review. Elementary Data Structures. Linked lists Types : singular, doubly, circular Operations : insert, find, delete O( N ) Stack ADT (array or linked-list) First-in-Last-out Operations : push, pop Queue ADT (array or linked-list) First-in-First-out

151 views • 14 slides

Spanning Trees

Spanning Trees. Longin Jan Latecki Temple University based on slides by David Matuszek, UPenn, Rose Hoberman, CMU, Bing Liu, U. of Illinois, Boting Yang, U. of Regina. A connected, undirected graph. Four of the spanning trees of the graph. Spanning trees.

229 views • 12 slides