Graph Search Algorithms

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Presentation transcript:

Graph Search Algorithms COSC 3101E, PROF. J. ELDER

Graph a b Node ~ city or computer Edge ~ road or data cable c Undirected or Directed A surprisingly large number of computational problems can be expressed as graph problems. COSC 3101E, PROF. J. ELDER

Directed and Undirected Graphs (c) The subgraph of the graph in part (a) induced by the vertex set {1,2,3,6}. (b) An undirected graph G = (V,E), where V = {1,2,3,4,5,6} and E = {(1,2), (1,5), (2,5), (3,6)}. The vertex 4 is isolated. A directed graph G = (V, E), where V = {1,2,3,4,5,6} and E = {(1,2), (2,2), (2,4), (2,5), (4,1), (4,5), (5,4), (6,3)}. The edge (2,2) is a self-loop. COSC 3101E, PROF. J. ELDER

Trees A tree is a connected, acyclic, undirected graph. Forest Graph with Cycle A tree is a connected, acyclic, undirected graph. A forest is a set of trees (not necessarily connected) COSC 3101E, PROF. J. ELDER

Running Time of Graph Algorithms Running time often a function of both |V| and |E|. For convenience, drop the | . | in asymptotic notation, e.g. O(V+E). COSC 3101E, PROF. J. ELDER

End of Lecture 10 Oct 16, 2007

Representations: Undirected Graphs Adjacency List Adjacency Matrix COSC 3101E, PROF. J. ELDER

Representations: Directed Graphs Adjacency List Adjacency Matrix COSC 3101E, PROF. J. ELDER

Breadth-First Search Goal: To recover the shortest paths from a source node s to all other reachable nodes v in a graph. The length of each path and the paths themselves are returned. Notes: There are an exponential number of possible paths This problem is harder for general graphs than trees because of cycles! ? s COSC 3101E, PROF. J. ELDER

Breadth-First Search Idea: send out search ‘wave’ from s. Keep track of progress by colouring vertices: Undiscovered vertices are coloured black Just discovered vertices (on the wavefront) are coloured red. Previously discovered vertices (behind wavefront) are coloured grey. COSC 3101E, PROF. J. ELDER

Found Not Handled Queue BFS Found Not Handled Queue First-In First-Out (FIFO) queue stores ‘just discovered’ vertices s b a e d g c f j i h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Queue BFS Found Not Handled Queue d=0 s b a s d=0 e d g c f j i h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Queue BFS Found Not Handled Queue d=0 s d=1 b a d=0 e a d=1 d d g g c f b j i h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Queue BFS Found Not Handled Queue d=0 s d=1 b a a d=1 d e d g g b c f j i h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Queue BFS Found Not Handled Queue d=0 s d=1 b a d=1 d e d g g b c f c d=2 j f d=2 i h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Queue BFS Found Not Handled Queue d=0 s d=1 b a d=1 e d g g b c f c d=2 j f d=2 m i e h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Queue BFS Found Not Handled Queue d=0 s d=1 b a d=1 e d g b c f c d=2 j f d=2 m i e h j m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Queue BFS Found Not Handled Queue d=0 s d=1 b a d=1 e d g c f c d=2 j f d=2 m i e h j m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Queue BFS Found Not Handled Queue d=0 s d=1 b a c d=2 e d f m g e c f j j d=2 i h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Queue BFS Found Not Handled Queue d=0 s d=1 b a d=2 e d f m g e c f j j h d=3 d=2 i i h m d=3 k l COSC 3101E, PROF. J. ELDER

Found Not Handled Queue BFS Found Not Handled Queue d=0 s d=1 b a d=2 e d m g e c f j j h d=3 d=2 i i h m d=3 k l COSC 3101E, PROF. J. ELDER

Found Not Handled Queue BFS Found Not Handled Queue d=0 s d=1 b a d=2 e d g e c f j j h d=3 d=2 i i h l m d=3 k l COSC 3101E, PROF. J. ELDER

Found Not Handled Queue BFS Found Not Handled Queue d=0 s d=1 b a d=2 e d g c f j j h d=3 d=2 i i h l m d=3 k l COSC 3101E, PROF. J. ELDER

Found Not Handled Queue BFS Found Not Handled Queue d=0 s d=1 b a d=2 e d g c f j h d=3 d=2 i i h l m d=3 k l COSC 3101E, PROF. J. ELDER

Found Not Handled Queue BFS Found Not Handled Queue d=0 s d=1 b a h d=3 i e d l g c f j d=2 i h m d=3 k l COSC 3101E, PROF. J. ELDER

Found Not Handled Queue BFS Found Not Handled Queue d=0 s d=1 b a d=3 i e d l g k d=4 c f j d=2 i h m d=3 k d=4 l COSC 3101E, PROF. J. ELDER

Found Not Handled Queue BFS Found Not Handled Queue d=0 s d=1 b a d=3 e d l g k d=4 c f j d=2 i h m d=3 k d=4 l COSC 3101E, PROF. J. ELDER

Found Not Handled Queue BFS Found Not Handled Queue d=0 s d=1 b a d=3 e d g k d=4 c f j d=2 i h m d=3 k d=4 l COSC 3101E, PROF. J. ELDER

Found Not Handled Queue BFS Found Not Handled Queue d=0 s d=1 b a k d=4 e d g c f j d=2 i h m d=3 k d=4 l COSC 3101E, PROF. J. ELDER

Found Not Handled Queue BFS Found Not Handled Queue d=0 s d=1 b a d=4 e d=5 d g c f j d=2 i h m d=3 k d=4 l COSC 3101E, PROF. J. ELDER

Breadth-First Search Algorithm BLACK RED GRAY Q is a FIFO queue. Each vertex assigned finite d value at most once. Q contains vertices with d values {i, …, i, i+1, …, i+1} d values assigned are monotonically increasing over time. COSC 3101E, PROF. J. ELDER

Breadth-First-Search is Greedy Vertices are handled: in order of their discovery (FIFO queue) Smallest d values first COSC 3101E, PROF. J. ELDER

Correctness d Basic Steps: s v & there is an edge from u to v u The shortest path to u has length d There is a path to v with length d+1. COSC 3101E, PROF. J. ELDER

Correctness Vertices are discovered in order of their distance from the source vertex s. When we discover v, how do we know there is not a shorter path to v? Because if there was, we would already have discovered it! s d v u COSC 3101E, PROF. J. ELDER

Correctness Two-step proof: On exit: COSC 3101E, PROF. J. ELDER

u v s COSC 3101E, PROF. J. ELDER

BLACK s v u RED BLACK RED GRAY COSC 3101E, PROF. J. ELDER

x s v u Contradiction! COSC 3101E, PROF. J. ELDER

Correctness COSC 3101E, PROF. J. ELDER

Progress? On every iteration one vertex is processed (turns gray). BLACK RED GRAY COSC 3101E, PROF. J. ELDER

Running Time BLACK RED BLACK RED GRAY COSC 3101E, PROF. J. ELDER

Optimal Substructure Property The shortest path problem has the optimal substructure property: Every subpath of a shortest path is a shortest path. The optimal substructure property is a hallmark of both greedy and dynamic programming algorithms. allows us to compute both shortest path distance and the shortest paths themselves by storing only one d value and one predecessor value per vertex. u v s shortest path COSC 3101E, PROF. J. ELDER

Recovering the Shortest Path For each node v, store predecessor of v in (v). s v u (v) Predecessor of v is (v) = u. COSC 3101E, PROF. J. ELDER

Recovering the Shortest Path COSC 3101E, PROF. J. ELDER

Colours are actually not required COSC 3101E, PROF. J. ELDER

Depth First Search (DFS) Idea: Continue searching “deeper” into the graph, until we get stuck. If all the edges leaving v have been explored we “backtrack” to the vertex from which v was discovered. Does not recover shortest paths, but can be useful for extracting other properties of graph, e.g., Topological sorts Detection of cycles Extraction of strongly connected components COSC 3101E, PROF. J. ELDER

Depth-First Search Explore every edge, starting from different vertices if necessary. As soon as vertex discovered, explore from it. Keep track of progress by colouring vertices: Black: undiscovered vertices Red: discovered, but not finished (still exploring from it) Gray: finished (found everything reachable from it). COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Note: Stack is Last-In First-Out (LIFO) Found Not Handled Stack <node,# edges> d f s / b a e d g c f j i h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s / 1/ b a e d g c f j i s,0 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s / 1/ 2/ b a e d g c f j i a,0 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s / 1/ 2/ 3/ b a e d g c f j c,0 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s / 1/ 2/ 3/ 4/ b a e d g c f h,0 j c,1 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s / 1/ 2/ 3/ 5/ 4/ b a e d g c k,0 f h,1 j c,1 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s / 1/ 2/ 3/ 5/6 4/ b a e d g c f h,1 j c,1 Path on Stack i a,1 s,1 h m Tree Edge k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s / 1/ 2/ 3/ 5/6 4/7 b a e d g c f j c,1 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/ 1/ / 2/ 3/ 5/6 4/7 b a e d g c f i,0 j c,2 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

DFS Found Not Handled Stack <node,# edges> s b a e d g c f i,1 j Cross Edge to handled node: d[h]<d[i] s 8/ 1/ / 2/ 3/ 5/6 4/7 b a e d g c f i,1 j c,2 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/ 1/ / 2/ 3/ 5/6 4/7 b a e d g c f i,2 j c,2 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/ 1/ / 2/ 3/ 9/ 5/6 4/7 b a e d g c l,0 f i,3 j c,2 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/ 1/ / 2/ 3/ 9/ 5/6 4/7 b a e d g c l,1 f i,3 j c,2 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/ 1/ / 2/ 3/ 9/10 5/6 4/7 b a e d g c f i,3 j c,2 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/ 1/ / 2/ 3/ 11/ 9/10 5/6 4/7 b a e d g c g,0 f i,4 j c,2 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/ 1/ / 2/ 3/ 11/ 12/ 9/10 5/6 4/7 b a e d g j,0 c g,1 f i,4 j c,2 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

DFS Found Not Handled Stack <node,# edges> s b a e d g j,1 c g,1 Back Edge to node on Stack: s 8/ 1/ / 2/ 3/ 11/ 12/ 9/10 5/6 4/7 b a e d g j,1 c g,1 f i,4 j c,2 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/ 1/ / 2/ 3/ 11/ 12/ 13/ 9/10 5/6 4/7 b a e d m,0 g j,2 c g,1 f i,4 j c,2 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/ 1/ / 2/ 3/ 11/ 12/ 13/ 9/10 5/6 4/7 b a e d m,1 g j,2 c g,1 f i,4 j c,2 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/ 1/ / 2/ 3/ 11/ 12/ 13/14 9/10 5/6 4/7 b a e d g j,2 c g,1 f i,4 j c,2 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/ 1/ / 2/ 3/ 11/ 12/15 13/14 9/10 5/6 4/7 b a e d g c g,1 f i,4 j c,2 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/ 1/ / 2/ 3/ 11/16 12/15 13/14 9/10 5/6 4/7 b a e d g c f i,4 j c,2 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/ 1/ / 2/ 3/ 17/ 11/16 12/15 13/14 9/10 5/6 4/7 b a e d g c f,0 f i,5 j c,2 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/ 1/ / 2/ 3/ 17/ 11/16 12/15 13/14 9/10 5/6 4/7 b a e d g c f,1 f i,5 j c,2 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/ 1/ / 2/ 3/ 17/18 11/16 12/15 13/14 9/10 5/6 4/7 b a e d g c f i,5 j c,2 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/19 1/ / 2/ 3/ 17/18 11/16 12/15 13/14 9/10 5/6 4/7 b a e d g c f j c,2 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> Forward Edge: d[f]>d[c] s 8/19 1/ / 2/ 3/ 17/18 11/16 12/15 13/14 9/10 5/6 4/7 b a e d g c f j c,3 i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/19 1/ / 2/ 3/19 17/18 11/16 12/15 13/14 9/10 5/6 4/7 b a e d g c f j i a,1 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/19 1/ / 2/ 3/19 17/18 11/16 12/15 13/14 9/10 5/6 4/7 b a e d g c f j i a,2 s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/19 1/ / 2/20 3/19 17/18 11/16 12/15 13/14 9/10 5/6 4/7 b a e d g c f j i s,1 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/19 1/ / 2/20 3/19 17/18 21/ 11/16 12/15 13/14 9/10 5/6 4/7 b a e d g c f j i d,0 s,2 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/19 1/ / 2/20 3/19 17/18 21/ 11/16 12/15 13/14 9/10 5/6 4/7 b a e d g c f j i d,1 s,2 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/19 1/ / 2/20 3/19 17/18 21/ 11/16 12/15 13/14 9/10 5/6 4/7 b a e d g c f j i d,2 s,2 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/19 1/ / 2/20 3/19 17/18 21/ 11/16 12/15 13/14 9/10 5/6 4/7 22/ b a e d g c f j e,0 i d,3 s,2 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/19 1/ / 2/20 3/19 17/18 21/ 11/16 12/15 13/14 9/10 5/6 4/7 22/ b a e d g c f j e,1 i d,3 s,2 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/19 1/ / 2/20 3/19 17/18 21/ 11/16 12/15 13/14 9/10 5/6 4/7 22/23 b a e d g c f j i d,3 s,2 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/19 1/ / 2/20 3/19 17/18 21/24 11/16 12/15 13/14 9/10 5/6 4/7 22/23 b a e d g c f j i s,2 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/19 1/ / 2/20 3/19 17/18 21/24 11/16 12/15 13/14 9/10 5/6 4/7 22/23 b a e d g c f j i s,3 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/19 1/ 25/ 2/20 3/19 17/18 21/24 11/16 12/15 13/14 9/10 5/6 4/7 22/23 b a e d g c f j i b,0 s,4 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/19 1/ 25/ 2/20 3/19 17/18 21/24 11/16 12/15 13/14 9/10 5/6 4/7 22/23 b a e d g c f j i b,1 s,4 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/19 1/ 25/ 2/20 3/19 17/18 21/24 11/16 12/15 13/14 9/10 5/6 4/7 22/23 b a e d g c f j i b,2 s,4 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/19 1/ 25/ 2/20 3/19 17/18 21/24 11/16 12/15 13/14 9/10 5/6 4/7 22/23 b a e d g c f j i b,3 s,4 h m k l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> s 8/19 1/ 25/26 2/20 3/19 17/18 21/24 11/16 12/15 13/14 9/10 5/6 4/7 22/23 b a e d g c f j i s,4 h m k l COSC 3101E, PROF. J. ELDER

End of Lecture 11 Oct 18, 2007

Found Not Handled Stack <node,# edges> DFS Found Not Handled Stack <node,# edges> Tree Edges Back Edges Forward Edges s Finished! 8/19 1/27 25/26 2/20 3/19 17/18 21/24 11/16 12/15 13/14 9/10 5/6 4/7 22/23 Cross Edges b a e d g c f j i h m k l COSC 3101E, PROF. J. ELDER

Classification of Edges in DFS Tree edges are edges in the depth-first forest Gπ. Edge (u, v) is a tree edge if v was first discovered by exploring edge (u, v). Back edges are those edges (u, v) connecting a vertex u to an ancestor v in a depth-first tree. Forward edges are non-tree edges (u, v) connecting a vertex u to a descendant v in a depth-first tree. Cross edges are all other edges. They can go between vertices in the same depth-first tree, as long as one vertex is not an ancestor of the other. s a c h k f i l m j e b g d 8/19 1/27 25/26 2/20 3/19 17/18 21/24 11/16 12/15 13/14 9/10 5/6 4/7 22/23 COSC 3101E, PROF. J. ELDER

Classification of Edges in DFS Tree edges: Edge (u, v) is a tree edge if v was black when (u, v) traversed. Back edges: (u, v) is a back edge if v was red when (u, v) traversed. Forward edges: (u, v) is a forward edge if v was gray when (u, v) traversed and d[v] > d[u]. Cross edges (u,v) is a cross edge if v was gray when (u, v) traversed and d[v] < d[u]. Classifying edges can help to identify properties of the graph, e.g., a graph is acyclic iff DFS yields no back edges. s a c h k f i l m j e b g d 8/19 1/27 25/26 2/20 3/19 17/18 21/24 11/16 12/15 13/14 9/10 5/6 4/7 22/23 COSC 3101E, PROF. J. ELDER

Undirected Graphs In a depth-first search of an undirected graph, every edge is either a tree edge or a back edge. Why? COSC 3101E, PROF. J. ELDER

Undirected Graphs Suppose that (u,v) is a forward edge or a cross edge in a DFS of an undirected graph. (u,v) is a forward edge or a cross edge when v is already handled (grey) when accessed from u. This means that all vertices reachable from v have been explored. Since we are currently handling u, u must be red. Clearly v is reachable from u. Since the graph is undirected, u must also be reachable from v. Thus u must already have been handled: u must be grey. Contradiction! u v COSC 3101E, PROF. J. ELDER

Depth-First Search Algorithm BLACK RED BLACK GRAY COSC 3101E, PROF. J. ELDER

Depth-First Search Algorithm BLACK RED BLACK GRAY COSC 3101E, PROF. J. ELDER

End of Lecture 12 Oct 23, 2007

Topological Sorting (e.g., putting tasks in linear order) An application of Depth-First Search

Linear Order underwear socks pants shoes underwear pants socks shoes socks underwear pants shoes COSC 3101E, PROF. J. ELDER

Linear Order underwear socks pants shoes Too many video games? COSC 3101E, PROF. J. ELDER

Linear Order a b h c i d j e k g f l ….. l (V) (V2) Precondition: A Directed Acyclic Graph (DAG) Post Condition: Find one valid linear order b h c i d j e k Algorithm: Find a terminal node (sink). Put it last in sequence. Delete from graph & repeat g We can do better! (V) (V2) f l ….. l COSC 3101E, PROF. J. ELDER

Found Not Handled Stack Linear Order Found Not Handled Stack Alg: DFS a b h c i d j e k g f g f l e d ….. f COSC 3101E, PROF. J. ELDER

Found Not Handled Stack Linear Order Found Not Handled Stack Alg: DFS a b h c i d j e k g l g l e f d When node is popped off stack, insert at front of linearly-ordered “to do” list. Linear Order: ….. f COSC 3101E, PROF. J. ELDER

Found Not Handled Stack Linear Order Found Not Handled Stack Alg: DFS a b h c i d j e k g g f l e d Linear Order: l,f COSC 3101E, PROF. J. ELDER

Found Not Handled Stack Linear Order Found Not Handled Stack Alg: DFS a b h c i d j e k g f l e d Linear Order: g,l,f COSC 3101E, PROF. J. ELDER

Found Not Handled Stack Linear Order Found Not Handled Stack Alg: DFS a b h c i d j e k g f l d Linear Order: e,g,l,f COSC 3101E, PROF. J. ELDER

Found Not Handled Stack Linear Order Found Not Handled Stack Alg: DFS a b h c i d j e k g f l Linear Order: d,e,g,l,f COSC 3101E, PROF. J. ELDER

Found Not Handled Stack Linear Order Found Not Handled Stack Alg: DFS a b h c i d j e k g k j f l i Linear Order: d,e,g,l,f COSC 3101E, PROF. J. ELDER

Found Not Handled Stack Linear Order Found Not Handled Stack Alg: DFS a b h c i d j e k g j f l i Linear Order: k,d,e,g,l,f COSC 3101E, PROF. J. ELDER

Found Not Handled Stack Linear Order Found Not Handled Stack Alg: DFS a b h c i d j e k g f l i Linear Order: j,k,d,e,g,l,f COSC 3101E, PROF. J. ELDER

Found Not Handled Stack Linear Order Found Not Handled Stack Alg: DFS a b h c i d j e k g f l Linear Order: i,j,k,d,e,g,l,f COSC 3101E, PROF. J. ELDER

Found Not Handled Stack Linear Order Found Not Handled Stack Alg: DFS a b h c i d j e k g c f l b Linear Order: i,j,k,d,e,g,l,f COSC 3101E, PROF. J. ELDER

Found Not Handled Stack Linear Order Found Not Handled Stack Alg: DFS a b h c i d j e k g f l b Linear Order: c,i,j,k,d,e,g,l,f COSC 3101E, PROF. J. ELDER

Found Not Handled Stack Linear Order Found Not Handled Stack Alg: DFS a b h c i d j e k g f l Linear Order: b,c,i,j,k,d,e,g,l,f COSC 3101E, PROF. J. ELDER

Found Not Handled Stack Linear Order Found Not Handled Stack Alg: DFS a b h c i d j e k g h f l a Linear Order: b,c,i,j,k,d,e,g,l,f COSC 3101E, PROF. J. ELDER

Found Not Handled Stack Linear Order Found Not Handled Stack Alg: DFS a b h c i d j e k g f l a Linear Order: h,b,c,i,j,k,d,e,g,l,f COSC 3101E, PROF. J. ELDER

Found Not Handled Stack Linear Order Found Not Handled Stack Alg: DFS a b h c i d j e k g f l Linear Order: a,h,b,c,i,j,k,d,e,g,l,f Done! COSC 3101E, PROF. J. ELDER

Found Not Handled Stack Linear Order Found Not Handled Stack Proof: Case 1: u goes on stack first before v. Because of edge, v goes on before u comes off v comes off before u comes off v goes after u in order.  Consider each edge v … u … u v u… v… COSC 3101E, PROF. J. ELDER

Found Not Handled Stack Linear Order Found Not Handled Stack Proof: Case 1: u goes on stack first before v. Case 2: v goes on stack first before u. v comes off before u goes on. v goes after u in order.  Consider each edge u … v … u v u… v… COSC 3101E, PROF. J. ELDER

Found Not Handled Stack Linear Order Found Not Handled Stack Proof: Case 1: u goes on stack first before v. Case 2: v goes on stack first before u. v comes off before u goes on. Case 3: v goes on stack first before u. u goes on before v comes off. Panic: u goes after v in order.  Cycle means linear order is impossible  Consider each edge u … The nodes in the stack form a path starting at s. v … u v u… v… COSC 3101E, PROF. J. ELDER

Found Not Handled Stack Linear Order Found Not Handled Stack Alg: DFS a b h c i d j e k g f l Linear Order: a,h,b,c,i,j,k,d,e,g,l,f Done! COSC 3101E, PROF. J. ELDER

Back to Shortest Path BFS finds the shortest paths from a source node s to every vertex v in the graph. Here, the length of a path is simply the number of edges on the path. But what if edges have different ‘costs’? 7 1 5 v v 2 s s 2 3 COSC 3101E, PROF. J. ELDER

Single-Source (Weighted) Shortest Paths

The Problem What is the shortest driving route from Toronto to Ottawa? (e.g. MAPQuest, Microsoft Streets and Trips) Input: COSC 3101E, PROF. J. ELDER

Example Single-source shortest path search induces a search tree rooted at s. This tree, and hence the paths themselves, are not necessarily unique. COSC 3101E, PROF. J. ELDER

Shortest path variants Single-source shortest-paths problem: – the shortest path from s to each vertex v. (e.g. BFS) Single-destination shortest-paths problem: Find a shortest path to a given destination vertex t from each vertex v. Single-pair shortest-path problem: Find a shortest path from u to v for given vertices u and v. All-pairs shortest-paths problem: Find a shortest path from u to v for every pair of vertices u and v. COSC 3101E, PROF. J. ELDER

Negative-weight edges OK, as long as no negative-weight cycles are reachable from the source. If we have a negative-weight cycle, we can just keep going around it, and get w(s, v) = −∞ for all v on the cycle. But OK if the negative-weight cycle is not reachable from the source. Some algorithms work only if there are no negative-weight edges in the graph. COSC 3101E, PROF. J. ELDER

Optimal substructure Lemma: Any subpath of a shortest path is a shortest path Proof: Cut and paste. COSC 3101E, PROF. J. ELDER

Cycles Shortest paths can’t contain cycles: Already ruled out negative-weight cycles. Positive-weight: we can get a shorter path by omitting the cycle. Zero-weight: no reason to use them  assume that our solutions won’t use them. COSC 3101E, PROF. J. ELDER

Output of a single-source shortest-path algorithm For each vertex v in V: d[v] = δ(s, v). Initially, d[v]=∞. Reduce as algorithm progresses. But always maintain d[v] ≥ δ(s, v). Call d[v] a shortest-path estimate. π[v] = predecessor of v on a shortest path from s. If no predecessor, π[v] = NIL. π induces a tree — shortest-path tree. COSC 3101E, PROF. J. ELDER

All shortest-paths algorithms start with the same initialization: INIT-SINGLE-SOURCE(V, s) for each v in V do d[v]←∞ π[v] ← NIL d[s] ← 0 COSC 3101E, PROF. J. ELDER

Relaxing an edge Can we improve shortest-path estimate for v by going through u and taking (u,v)? RELAX(u, v,w) if d[v] > d[u] + w(u, v) then d[v] ← d[u] + w(u, v) π[v]← u COSC 3101E, PROF. J. ELDER

General single-source shortest-path strategy Start by calling INIT-SINGLE-SOURCE Relax Edges Algorithms differ in the order in which edges are taken and how many times each edge is relaxed. COSC 3101E, PROF. J. ELDER

Example: Single-source shortest paths in a directed acyclic graph (DAG) Since graph is a DAG, we are guaranteed no negative-weight cycles. COSC 3101E, PROF. J. ELDER

Algorithm COSC 3101E, PROF. J. ELDER

Example COSC 3101E, PROF. J. ELDER

Example COSC 3101E, PROF. J. ELDER

Example COSC 3101E, PROF. J. ELDER

Example COSC 3101E, PROF. J. ELDER

Example COSC 3101E, PROF. J. ELDER

Example COSC 3101E, PROF. J. ELDER

Correctness: Path relaxation property (Lemma 24.15) COSC 3101E, PROF. J. ELDER

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. COSC 3101E, PROF. J. ELDER

Example: Dijkstra’s algorithm Applies to general weighted directed graph (may contain cycles). But weights must be non-negative. 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. Q = priority queue = V-S. COSC 3101E, PROF. J. ELDER

Dijkstra’s algorithm Dijkstra’s algorithm can be viewed as greedy, since it always chooses the “lightest” vertex in V − S to add to S. COSC 3101E, PROF. J. ELDER

Dijkstra’s algorithm: Analysis Using minheap, queue operations takes O(logV) time COSC 3101E, PROF. J. ELDER

Key: Example COSC 3101E, PROF. J. ELDER

Example COSC 3101E, PROF. J. ELDER

Example COSC 3101E, PROF. J. ELDER

Example COSC 3101E, PROF. J. ELDER

Example COSC 3101E, PROF. J. ELDER

Example COSC 3101E, PROF. J. ELDER

Correctness of Dijkstra’s algorithm Loop invariant: d[v] = δ(s, v) for all v in S. Initialization: Initially, S is empty, so trivially true. Termination: At end, Q is empty S = V  d[v] = δ(s, v) for all v in V. Maintenance: Need to show that d[u] = δ(s, u) when u is added to S in each iteration. d[u] does not change once u is added to S. COSC 3101E, PROF. J. ELDER

Correctness of Dijkstra’s Algorithm: Upper Bound Property Proof: COSC 3101E, PROF. J. ELDER

Correctness of Dijkstra’s Algorithm Handled COSC 3101E, PROF. J. ELDER

Correctness of Dijkstra’s Algorithm Handled COSC 3101E, PROF. J. ELDER

Correctness of Dijkstra’s algorithm Loop invariant: d[v] = δ(s, v) for all v in S. Maintenance: Need to show that d[u] = δ(s, u) when u is added to S in each iteration. d[u] does not change once u is added to S.  ? COSC 3101E, PROF. J. ELDER

End of Lecture 13 Oct 25, 2007