lec15 - MIT OpenCourseWare http://ocw.mit.edu 6.006...

Info iconThis preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: MIT OpenCourseWare http://ocw.mit.edu 6.006 Introduction to Algorithms Spring 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms . Lecture 15 Shortest Paths I: Intro 6.006 Spring 2008 Lecture 15: Shortest Paths I: Intro Lecture Overview Homework Preview Weighted Graphs General Approach Negative Edges Optimal Substructure Readings CLRS, Sections 24 (Intro) Motivation: Shortest way to drive from A to B ( Google maps get directions Formulation: Problem on a weighted graph G ( V, E ) W : E Two algorithms: Dijkstra O ( V lg V + E ) assumes non-negative edge weights Bellman Ford O ( V E ) is a general algorithm Problem Set 5 Preview: Use Dijkstra to find shortest path from CalTech to MIT See CalTech Cannon Hack photos (search web.mit.edu See Google Maps from CalTech to MIT Model as a weighted graph G ( V, E ) ,W : E V = vertices (street intersections) E = edges (street, roads);...
View Full Document

Page1 / 7

lec15 - MIT OpenCourseWare http://ocw.mit.edu 6.006...

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online