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Graphs adjacency list - PowerPoint PPT Presentation

CS 3343: Analysis of Algorithms

CS 3343: Analysis of Algorithms. Lecture 21: Introduction to Graphs. 0. 0. Uniform-profit Restaurant location problem. Goal: maximize number of restaurants open Subject to: distance constraint (min-separation >= 10). 5. 2. 2. 6. 6. 3. 6. 10. 7. 6. 9. 15. 7. d. 5. 7. 9. 15.

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CS 3343: Analysis of Algorithms

CS 3343: Analysis of Algorithms. Introduction to Graphs. 0. 0. Uniform-profit Restaurant location problem. Goal: maximize number of restaurants open Subject to: distance constraint (min-separation >= 10). 5. 2. 2. 6. 6. 3. 6. 10. 7. 6. 9. 15. 7. d. 5. 7. 9. 15. 10. 0. 0.

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CS 332: Algorithms

CS 332: Algorithms. Graph Algorithms. 7. 10. i = [7,10]; i ? low = 7; i ? high = 10. 5. 11. 17. 19. 4. 8. 15. 18. 21. 23. Interval Trees. The problem: maintain a set of intervals E.g., time intervals for a scheduling program:. 7. 10.

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CSC 413/513: Intro to Algorithms

CSC 413/513: Intro to Algorithms. Graph Algorithms. Graphs. A graph G = (V, E) V = set of vertices E = set of edges = subset of V ? V Thus |E| = O(|V| 2 ). Graph Variations. Variations: A connected graph has a path ( not necessarily an edge ) from every vertex to every other

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Graphs adjacency list - PowerPoint PPT Presentation

CS 3343: Analysis of Algorithms

CS 3343: Analysis of Algorithms

CS 332: Algorithms

CSC 413/513: Intro to Algorithms