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Lecture 22 CSE 331 Oct 23, 2017.

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Presentation on theme: "Lecture 22 CSE 331 Oct 23, 2017."— Presentation transcript:

1 Lecture 22 CSE 331 Oct 23, 2017

2 Graded mid-term-I Grades for mid-term-I released on Autolab
mid-term 2 in a day or two

3 Temp letter grades

4 Today Shortest Path Problem

5 Reading Assignment Sec 2.5 of [KT]

6 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

7 Naïve Algorithm Ω(n!) time

8 Dijkstra’s shortest path algorithm
E. W. Dijkstra ( )

9 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)

10 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


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