Tables 2.6 - Correctness Path relaxation property CSE 2011...

Info iconThis preview shows page 1. Sign up to view the full content.

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

Unformatted text preview: Correctness: Path relaxation property CSE 2011 Prof. J. Elder - 191 - Last Updated: 4/1/10 10:16 AM Correctness of DAG Shortest Path Algorithm Because we process vertices in topologically sorted order, edges of any path are relaxed in order of appearance in the path. Edges on any shortest path are relaxed in order. By path-relaxation property, correct. CSE 2011 Prof. J. Elder - 192 - Last Updated: 4/1/10 10:16 AM Example 2. Single-Source Shortest Path on a General Graph (May Contain Cycles) This is fundamentally harder, because the first paths we discover may not be the shortest (not monotonic). CSE 2011 Prof. J. Elder - 193 - Last Updated: 4/1/10 10:16 AM Dijkstra’s algorithm (E. Dijkstra,1959) Applies to general, weighted, directed or undirected graph (may contain cycles). But weights must be non-negative. (But they can be 0!) Essentially a weighted version of BFS. Instead of a FIFO queue, uses a priority queue. Keys are shortest-path weights (d[v]). Maintain 2 sets of vertices: S = vertices whose final shortest-path weights are determined. Edsger Dijkstra Q = priority queue = V-S. CSE 2011 Prof. J. Elder - 194 - Last Updated: 4/1/10 10:16 AM Dijkstra’s Algorithm: Operation We grow a “cloud” S of vertices, beginning with s and eventually covering all the vertices We store with each vertex v a label d(v) representing the distance of v from s in the subgraph consisting of the cloud S and its adjacent vertices At each step We add to the cloud S the vertex u outside the cloud with the smallest distance label, d(u) We update the labels of the vertices adjacent to u s 9 S 1 7 CSE 2011 Prof. J. Elder - 195 - 4 11 Last Updated: 4/1/10 10:16 AM ...
View Full Document

{[ snackBarMessage ]}

Ask a homework question - tutors are online