This preview shows page 1. Sign up to view the full content.
Unformatted text preview: The Hong Kong University of Science & Technology COMP 271: Design and Analysis of Algorithms Fall 2006 Tutorial 6: Shortest Path
Below is the suggested solution to the questions. Question 1 : Give a simple example of a directed graph with negativeweight edge(s) for which Dijkstra’s algorithm produces incorrect answers. Why does the correctness proof of Dijkstra’s algorithm not go through when negativeweight edges are allowed? Solution: The trick is to get Dijkstra’s algorithm to ﬁnalize a vertex before its true minimum distance is known. Consider the following digraph. Original Weighted Digraph
s 4 w 2 u 3 1 v Step 1:
s 0 4 2 4 w u 2 3 1 v i Step 2:
s 0 4 2 4 w u 2 3 1 v 3 Step 3:
s 0 4 2 4 w u 2 3 1 v 3 Step 4:
s 0 4 2 4 w u 1 3 WRONG!
1 v 3 1 • Step 1: When s is processed, d[u] = 2 and d[w] = 4. • Step 2: We process u ﬁrst, setting d[v ] = 3. • Step 3: Next, we process v , which changes nothing. • Step 4: Finally, we process w, setting d[u] = 1. We observe that the ﬁnal value of d[v ] = 3, but the value is not the actual shortest path length from s to v . There is another path < s, w, u, v > of length 2 (since 43+1=2) which is even shorter. Therefore the result produced by Dijkstra’s algorithm is not correct. The proof fails at the point it assumes that all edge weights are nonnegative (see below). The proof says δ (s, y ) ≤ δ (s, u), which need not hold if some edges have negative weights. [ Part of the Dijkstra’s correctness proof ] Suppose y appears midway on the path from s to u, and all subsequent edges have nonnegative weights, we have δ (s, y ) ≤ δ (s, u), and thus d[y ] = δ (s, y ) ≤ δ (s, u) < d[u]. Question 2 : Show each step in executing Dijkstra’s algorithm on the following weighted digraph, where s is the source vertex. Use dashedarrows on edges to indicate predecessor pointers, numeric label in each vertex to represent its current shortest path estimate and black colored nodes to show those vertices that we know the true distance. 3 s 5 1 4 7 3 2 3 5 2 8 2 Note: The ﬁrst step has been done for you. ( i denote +∞ ) 2 Step 1 (Given)
3 3 s 0 5 5 1 4 i 2 8 7 3 6 1 5 2 8 i 3 13 2 7 3 i 3 i 2 i 2 5 i Step 2
3 3 0 5 5 1 4 i 2 8 7 3 6 1 5 2 8 9 3 13 2 7 3 i 3 i 2 10 2 5 i Step 3
3 s 0 5 3 4 10 2 5 i s Step 4
3 3 0 5 4 10 2 5 i 3 Step 5
3 s 0 5 5 1 3 4 6 2 8 7 3 9 3 12 2 10 2 5 i s Step 6
3 3 0 5 5 1 4 6 2 8 7 3 9 3 12 2 10 2 5 15 Step 7
3 s 0 5 5 1 3 4 6 2 8 7 3 9 3 12 2 10 2 5 s 14 Step 8
3 3 0 5 5 1 4 6 2 8 7 3 9 3 12 10 2 5 14 2 4 ...
View Full
Document
 Spring '07
 ARYA
 Algorithms

Click to edit the document details