'Breadth first search' presentation slideshows

Stacks and Queues

Stacks and Queues. Andy Wang Data Structures, Algorithms, and Generic Programming. Abstract Data Type. A collection of data A set of operations on the data or subsets of the data A set of axioms , or rules of behavior governing the interaction of operators

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Building Mini-Google in Ruby

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Lecture 11

Lecture 11. Graph Algorithms. Definitions. Graph is a set of vertices V, with edges connecting some of the vertices (edge set E). . An edge can connect two vertices. An edge between vertex u and v is denoted as (u, v).

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How many faces do you get from walking the faces of this rotation system of K 4 ?

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CS 267: Applications of Parallel Computers Load Balancing

CS 267: Applications of Parallel Computers Load Balancing. James Demmel www.cs.berkeley.edu/~demmel/cs267_Spr09. Outline. Motivation for Load Balancing Recall graph partitioning as load balancing technique Overview of load balancing problems, as determined by Task costs Task dependencies

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Load Balancing Part 1: Dynamic Load Balancing

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Search I: Chapter 3 Aim: achieving generality

Search I: Chapter 3 Aim: achieving generality. Q: how to formulate a problem as a search problem?. Search (one solution). Brute force DFS, BFS, iterative deepening, iterative broadening Heuristic Best first, beam, hill climbing, simulated annealing, limited discrepancy Optimizing

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CSCE 3110 Data Structures & Algorithm Analysis

CSCE 3110 Data Structures & Algorithm Analysis. Rada Mihalcea http://www.cs.unt.edu/~rada/CSCE3110 Graphs (I) Reading: Chap.9, Weiss. What is a Graph?. A graph G = ( V ,E) is composed of: V : set of vertices E : set of edges connecting the vertices in V

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Breadth First Search

Breadth First Search. 2. 4. 8. s. 5. 7. 3. 6. 9. Breadth First Search. Shortest path from s. 1. 2. 2. 4. 8. 0. s. 5. 7. 3. 6. 9. Undiscovered. Queue: s . Discovered. Top of queue. Finished. Breadth First Search. 1. 2. 4. 8. 0. s. 5. 7. 3. 3. 6. 9. 1.

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Graphs

Graphs. COP 3502. Graphs. Train Lines. Daytona. Gainesville. Ocala. Deltona. Orlando. Melbourne. Lakeland. Tampa. Graphs. Southwest Flights in FL. Jax. Pan. Orl. Tpa. WPB. Naples. FTL. Graphs. Definition A Graph G, is a a set of vertices, V AND a set of edges, E

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6.006- Introduction to Algorithms

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15.082J & 6.855J & ESD.78J

15.082J & 6.855J & ESD.78J. Algorithm Analysis. 15.082. Overview of subject Importance of Algorithm Analysis Importance of homework Midterms Moving forward. Overview of lecture. Proof techniques Proof by contradiction Mathematical Induction Smallest counterexample

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Spatial Database & Spatial Data Mining

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CS 312: Algorithm Analysis

This work is licensed under a Creative Commons Attribution-Share Alike 3.0 Unported License . CS 312: Algorithm Analysis. Lecture #16: Strongly Connected Components. Slides by: Eric Ringger, adapting figures from Dasgupta et al. Objectives. Understand how to linearize a DAG

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Graphs

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CS 240A : Breadth-first search in Cilk ++

CS 240A : Breadth-first search in Cilk ++. Thanks to Charles E. Leiserson for some of these slides. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 16. 17. 18. 19. Breadth First Search. Level-by-level graph traversal Serially complexity: ? (m+n). Graph: G(E,V)

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Review for Midterm Exam

Review for Midterm Exam. Andreas Klappenecker. Topics Covered. Finding Primes in the Digits of Euler's Number Asymptotic Notations: Big Oh, Big Omega, Big Theta Greedy Algorithms Matroids, Matroid Embeddings Dynamic Programming, Amortized Analysis Divide-and-Conquer Disjoint Sets

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The Dirty-Block Index

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Lab 10

Lab 10. Keerthi Nelaturu. What is a Crawler? . Keeps track of all the and web pages Mainly used to help search engines Searches a web page for links until there are none to find. Example : www.google.ca. Breadth First Search. Crawler Implementation - HTML. Checks for the URL pattern

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