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Let's take a look at the graphs for the first example. I'm not drawing the nodes on the grid -- I'm just drawing them as a graph. You should verify that the weights of the edges make sense. I draw purple edges out of node 0, turquoise edges out of node 1, red edges for intra-teleport edges (these are the ones whose weights are ten), and green edges for inter-teleport edges.
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We're going to run Dijstra's shortest path algorithm on this starting at node zero, and ending at node 1, and in this example, that runs really quickly, because the smallest edge out of node zero goes to node 1. We're done, and the path length equals three.
Here's the second example:
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As you can see now, the shortest path goes through Teleport 1, and has a path length of 14.
UNIX> a.out 0 Node 0: x: 3 y: 3 Node 1: x: 4 y: 5 Node 2: x: 1000 y: 1001 Node 3: x: 1000 y: 1002 Node 4: x: 1000 y: 1003 Node 5: x: 1000 y: 1004 Node 6: x: 1000 y: 1005 Node 7: x: 1000 y: 1006 0 UNIX> a.out 1 Node 0: x: 0 y: 0 Node 1: x: 20 y: 20 Node 2: x: 1 y: 1 Node 3: x: 18 y: 20 Node 4: x: 1000 y: 1003 Node 5: x: 1000 y: 1004 Node 6: x: 1000 y: 1005 Node 7: x: 1000 y: 1006 0 UNIX>Next, go and create the adjacency lists, or the adjacency matrix (that's what I did), and print that out:
UNIX> a.out 0 Node 0: 0 3 1995 1996 1997 1998 1999 2000 Node 1: 3 0 1992 1993 1994 1995 1996 1997 Node 2: 1995 1992 0 10 2 3 4 5 Node 3: 1996 1993 10 0 1 2 3 4 Node 4: 1997 1994 2 1 0 10 2 3 Node 5: 1998 1995 3 2 10 0 1 2 Node 6: 1999 1996 4 3 2 1 0 10 Node 7: 2000 1997 5 4 3 2 10 0 0 UNIX> a.out 1 Node 0: 0 40 2 38 2003 2004 2005 2006 Node 1: 40 0 38 2 1963 1964 1965 1966 Node 2: 2 38 0 10 2001 2002 2003 2004 Node 3: 38 2 10 0 1965 1966 1967 1968 Node 4: 2003 1963 2001 1965 0 10 2 3 Node 5: 2004 1964 2002 1966 10 0 1 2 Node 6: 2005 1965 2003 1967 2 1 0 10 Node 7: 2006 1966 2004 1968 3 2 10 0 0 UNIX>And finally, do your Dijkstra algorithm. I hold a distance field in each node, and start with all of the equal to -1. I then set node's distance to 0 and put it onto the multimap. Then, I process the multimap. When I process edges, I put a node onto the multimap when the distance to that node is either the first known distance, or if it is less than the best distance so far. When I put a node on the multimap, I don't delete previous instances of the node on the multimap -- I simply ignore those when I encounter them.
Here is the multimap and its processing for examples 0 and 1:
UNIX> a.out 0 Multimap: [Node:0,Dist:0] Shortest path to 0 is 0 Multimap: [Node:1,Dist:3] [Node:2,Dist:1995] [Node:3,Dist:1996] [Node:4,Dist:1997] [Node:5,Dist:1998] [Node:6,Dist:1999] [Node:7,Dist:2000] Shortest path to 1 is 3 3 Multimap: [Node:0,Dist:0] Shortest path to 0 is 0 Multimap: [Node:2,Dist:2] [Node:3,Dist:38] [Node:1,Dist:40] [Node:4,Dist:2003] [Node:5,Dist:2004] [Node:6,Dist:2005] [Node:7,Dist:2006] Shortest path to 2 is 2 Multimap: You'll note that Node 3 is on twice. I didn't delete the old one. [Node:3,Dist:12] [Node:3,Dist:38] [Node:1,Dist:40] [Node:4,Dist:2003] [Node:5,Dist:2004] [Node:6,Dist:2005] [Node:7,Dist:2006] Shortest path to 3 is 12 Multimap: [Node:1,Dist:14] [Node:3,Dist:38] [Node:1,Dist:40] [Node:4,Dist:1977] [Node:5,Dist:1978] [Node:6,Dist:1979] [Node:7,Dist:1980] [Node:4,Dist:2003] [Node:5,Dist:2004] [Node:6,Dist:2005] [Node:7,Dist:2006] Shortest path to 1 is 14 14 UNIX>