'Shortest path' presentation slideshows

Chapter 5 Shortest Path Label-Correcting. FIFO Label-Correcting Algorithm All Pairs Shortest Paths Detecting Negative Cycles. Introduction. With negative arc lengths, Dijkstra’s algorithm may fail – why? may need to revise some node labels Single source goal:

A Study on Detection Based Automatic Speech Recognition. Author : Chengyuan Ma Yu Tsao Professor: 陳嘉平 Reporter : 許峰閤. Outline. Introduction Word detector design Hypotheses combination Experiment. Introduction.

Cloud Computing Lecture #4 Graph Algorithms with MapReduce. Jimmy Lin The iSchool University of Maryland Wednesday, February 6, 2008.

Network Layer. Network layer. Physical layer: move bits between physically connected stations Data link layer: move frames between physically connected stations Network layer: move packets from source A to destination B where A and B can be world-apart. Main Network Layer Design Issues.

INTRODUCTION TO ALOGORITHM DESIGN STRATEGIES. Subject: design & Analysis of algorithm, CSE-5 th Sem. Prepared By Prof. Saquib Ahmed Anjuman College of Engineering & Technology Department of Computer Science & Engineering. Syllabus.

Algorithmic mechanism design. Vincent Conitzer conitzer@cs.duke.edu. Algorithmic mechanism design. Mechanisms should be accompanied by an efficient algorithm for computing the outcome May not be easy

Graph Theory. CSRU1400, Fall 2007 Ellen Zhang. Outline. Introduction to graph Is there a Eulerian trail, curcuit? Isomorphism and planarity Shortest path problem. Graph. G=(V,E), V is the set of vertices (nodes), E is the set of edges

A Unified Approach to Approximating Resource Allocation and Scheduling. Amotz Bar-Noy.……...AT&T and Tel Aviv University Reuven Bar-Yehuda….Technion IIT Ari Freund……………Technion IIT Seffi Naor…………….Bell Labs and Technion IIT Baruch Schieber…...…IBM T.J. Watson Slides and paper at:

CS 408 Computer Networks. Chapter 11: Routing in IP. Introduction. Routers forward IP datagrams from one router to another on the path from source to wards destination Routing protocols To decide on routes to be taken

Formulations for the Traveling Salesman Problem. Drive 1 car via n cities, minimising travel. History: Dantzig, Fulkerson, Johnson paper: B&B, cutting planes. Cook, Karp, Levin: complexity theory. Some formulations for the TSP: Assignment. Assignment + tight subtours (DFJ) .

EE 122: Lecture 13 (IP Multicast Routing). Ion Stoica October 16, 2001. Motivation. Many applications require one-to-many communication E.g., video/audio conferencing, news dissemination, file updates, etc. Using unicast to replicate packets not efficient  IP multicast needed. Semantics.

Metamorphic Testing. Keith Stobie Test Architect Microsoft . Oracles. Oracles, without re-implementing For example, inverted functions. E.g. you can test SquareRoot() by using “square” as the inverted function: Y := SquareRoot(X) Assert.True( Y*Y == X ). Metamorphic Relation (MR).

What is a projection?. A map projection is used to portray all or part of the spherical Earth on a flat surface. This cannot be done without some distortion Every projection has its own set of advantages and disadvantages. There is no "best" projection

CS 3343: Analysis of Algorithms. More Examples on Dynamic Programming. Review of Dynamic Programming. We’ve learned how to use DP to solve a special shortest path problem the longest subsequence problem a general sequence alignment When should I use dynamic programming?

Chapter 7. Dynamic Programming. Fibonacci sequence. Fibonacci sequence : 0 , 1 , 1 , 2 , 3 , 5 , 8 , 13 , 21 , … F i = i if i  1 F i = F i-1 + F i-2 if i  2 Solved by a recursive program: Much replicated computation is done.

CCNA 2 v3. 1 Module 6. CCNA 2. Module 6 Routing & Routed Protocols. Introducing Routing. R outers must learn the direction to remote networks in order to forward packets. There are 2 ways to learn this information: Dynamic Routing Static Routing Routers use the routing process to

Swarm Intelligence. James Hobson Andrew Forth Josh Griffin. For Your Information…. Swarm Intelligence is a branch of AI SI is study of simple agents doing intelligent things Ants are the most common examples of SI Useful for the traveling salesman problem. ANTS!!!.

Decrease-and-Conquer Approach. Lecture 06. ITS033 – Programming & Algorithms. Asst. Prof. Dr. Bunyarit Uyyanonvara IT Program, Image and Vision Computing Lab. School of Information, Computer and Communication Technology (ICT) Sirindhorn International Institute of Technology (SIIT)

Mark Allen Weiss: Data Structures and Algorithm Analysis in Java. Chapter 9: Graphs. Breadth-First and Depth-First Search. Lydia Sinapova, Simpson College. Breadth-First and Depth-First Search. BFS Basic Algorithm BFS Complexity DFS Algorithm DFS Implementation

Shortest Paths. Text Discrete Mathematics and Its Applications (5 th Edition) Kenneth H. Rosen Chapter 8.6 Based on slides from Chuck Allison, Michael T. Goodrich, and Roberto Tamassia By Longin Jan Latecki. BOS. NY. CHI. SF. DEN. ATL. LA. MIA. Weighted Graphs.