Lecture 22 CSE 331 Oct 24, 2016.

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Presentation transcript:

Lecture 22 CSE 331 Oct 24, 2016

Graded mid-term-I Grades for mid-term-I released on Autolab Should have a post up by tonight on the grading rubric

Graded pitch

Today Shortest Path Problem http://xkcd.com/85/

Reading Assignment Sec 2.5 of [KT]

Shortest Path problem s 100 Input: Directed graph G=(V,E) w 15 5 s u w 100 Input: Directed graph G=(V,E) Edge lengths, le for e in E “start” vertex s in V 15 5 s u w 5 s u Output: All shortest paths from s to all nodes in V

Naïve Algorithm Ω(n!) time

Dijkstra’s shortest path algorithm E. W. Dijkstra (1930-2002)

Dijkstra’s shortest path algorithm 1 d’(w) = min e=(u,w) in E, u in R d(u)+le 1 2 4 3 y 4 3 u d(s) = 0 d(u) = 1 s x 2 4 d(w) = 2 d(x) = 2 d(y) = 3 d(z) = 4 w z 5 4 2 s w Input: Directed G=(V,E), le ≥ 0, s in V u R = {s}, d(s) =0 Shortest paths x While there is a x not in R with (u,x) in E, u in R z y Pick w that minimizes d’(w) Add w to R d(w) = d’(w)

Couple of remarks The Dijkstra’s algo does not explicitly compute the shortest paths Can maintain “shortest path tree” separately Dijkstra’s algorithm does not work with negative weights Left as an exercise