Runs Dijkstra's shortest path algorithm on a distance matrix. Runs Dijkstra's on the given SPARSE nxn distance matrix G, where missing values mean no edge (infinite distance). Uses a Finonacci heap resulting in fast computation. Finds the shortest path distance from every point S(i) in the 1xp source vector S to every other point j, resulting in a pxn distance matrix D. P(i,j) contains the second to last node on the path from S(i) to j. If point j is not reachable from point S(i) then D(i,j)=inf and P(i,j)=-1. USAGE [D P] = dijkstra( G, [S] ) INPUT G - sparse nxn distance matrix S - 1xp array of source indices i OUPUT D - pxn - shortest path lengths from S(i) to j P - pxn - indicies of second to last node on path from S(i) to j EXAMPLE n=11; G=sparse(n,n); for i=1:n-1, G(i,i+1)=1; end; G=G+G'; [D,P] = dijkstra(G,5), % D=[4:-1:0 1:6]; P=[2:5 -1 5:10]; See also Piotr's Computer Vision Matlab Toolbox Version 3.20 Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com] Licensed under the Simplified BSD License [see external/bsd.txt]