'Graph problem' presentation slideshows

Graph problem - PowerPoint PPT Presentation

Advanced D epth - F irst S earch and B readth- F irst S earch

Advanced D epth - F irst S earch and B readth- F irst S earch

Advanced D epth - F irst S earch and B readth- F irst S earch. Overview. Depth-first search (DFS) DFS Forest Breadth-first search (BFS) Some variants of DFS and BFS Graph modeling. Prerequisites. Elementary graph theory Implementations of DFS and BFS. vertex. edge. What is a graph?.

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425 views • 42 slides
Graph Algorithms

Graph Algorithms

Graph Algorithms. Ch. 5 Lin and Dyer. Graphs. Are everywhere Manifest in the flow of emails Connections on social network Bus or flight routes Social graphs: twitter friends and followers

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307 views • 30 slides
Graph cut

Graph cut

Graph cut . Chien -chi Chen. Outline. Introduction Interactive segmentation Related work Graph cut Concept of graph cut Hard and smooth constrains Min cut/Max flow Extensive of Graph cut Grab cut Paint Selection Unsupervise graph cut Conclusion Reference. Outline. Introduction

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698 views • 27 slides
Graph Algorithms

Graph Algorithms

Graph Algorithms. Ch. 5 Lin and Dyer. Graphs. Are everywhere Manifest in the flow of emails Connections on social network Bus or flight routes Social graphs: twitter friends and followers

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343 views • 27 slides
Can visit all squares of a chessboard exactly once ?

Can visit all squares of a chessboard exactly once ?

Can visit all squares of a chessboard exactly once ?. by Krishna Mahesh Deevela Murali. Overview. Problem Statement of Real World Problem Basic Concepts Formulating Graph Problem Solution to Graph Problem and Real world Problem Interesting Facts.

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511 views • 27 slides
Section 13

Section 13

Section 13. Questions Questions Graphs. Graphs. A graph representation: Adjacency matrix. Pros:? Cons:? Neighbor lists. Pros:? Cons:?. Graphs. A graph representation: Adjacency matrix. Pros: O(1) check if u is a neighbor of v.

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277 views • 18 slides
Two Discrete Optimization Problems

Two Discrete Optimization Problems

Two Discrete Optimization Problems. Problem #2: The Minimum Cost Spanning Tree Problem. Formulating Graph Problems. You already know the following steps for formulating a graph problem (such as the TSP and the Shortest-Path Problem):

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190 views • 18 slides
Data Structures - Graph

Data Structures - Graph

Data Structures - Graph . Graphs are simply a collection of nodes (points) and edges connecting the nodes. Typical notation lookslike this G = { N, E }. G = the graph. N = node set E = edge set Nodes represent items under consideration - can be anything.

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389 views • 16 slides
Exponential Speed-Up of Local Algorithms using Non-Local Communication

Exponential Speed-Up of Local Algorithms using Non-Local Communication

Exponential Speed-Up of Local Algorithms using Non-Local Communication. distributed systems with "non-local" communication. abstracting communication. "classical" local model. Local vs. Non-Local Communication. Can we combine it?. Model. Communication:

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161 views • 8 slides

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