作者在 2008-12-19 16:27:39 发布以下内容
function [sp, spcost] = dijkstra(matriz_costo, s, d)
% This is an implementation of the dijkstra磗 algorithm, wich finds the
% minimal cost path between two nodes. It磗 supoussed to solve the problem on
% possitive weighted instances.
% This is an implementation of the dijkstra磗 algorithm, wich finds the
% minimal cost path between two nodes. It磗 supoussed to solve the problem on
% possitive weighted instances.
% the inputs of the algorithm are:
%farthestNode: the farthest node to reach for each node after performing
% the routing;
% n: the number of nodes in the network;
% s: source node index;
% d: destination node index;
%farthestNode: the farthest node to reach for each node after performing
% the routing;
% n: the number of nodes in the network;
% s: source node index;
% d: destination node index;
%For information about this algorithm visit:
%http://www.matlabsky.cn
%http://www.matlabsky.cn
%Author: Jorge Ignacio Barrera Alviar. April/2007
n=size(matriz_costo,1);
S(1:n) = 0; %s, vector, set of visited vectors
dist(1:n) = inf; % it stores the shortest distance between the source node and any other node;
prev(1:n) = n+1; % Previous node, informs about the best previous node known to reach each network node
dist(s) = 0;
while sum(S)~=n
candidate=[];
for i=1:n
if S(i)==0
candidate=[candidate dist(i)];
else
candidate=[candidate inf];
end
end
[u_index u]=min(candidate);
S(u)=1;
for i=1:n
if(dist(u)+matriz_costo(u,i))<dist(i)
dist(i)=dist(u)+matriz_costo(u,i);
prev(i)=u;
end
end
end
sp = [d];
while sp(1) ~= s
if prev(sp(1))<=n
sp=[prev(sp(1)) sp];
else
error;
end
end;
spcost = dist(d);
if prev(sp(1))<=n
sp=[prev(sp(1)) sp];
else
error;
end
end;
spcost = dist(d);