📄 dag_sp.m
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function [d pred] = dag_sp(A,u,varargin)
% DAG_SP Compute the weighted single source shortest path problem.
%
% The DAG shortest path algorithm for the single source shortest path
% problem only works on directed acyclic-graphs (DAGs).
%
% If the graph is not a DAG, the results are undefined. In the future, the
% function may throw an error if the graph is not a DAG.
%
% See the shortest_paths function for calling information. This function
% just calls shortest_paths(...,struct('algname','dag'));
%
% This algorithm works on weighted directed acyclic graphs.
% The runtime is O(V+E)
%
% ... = clustering_coefficients(A,options) sets optional parameters (see
% set_matlab_bgl_options) for the standard options.
% There are no additional options for this function.
%
% Example:
% load graphs/kt-3-7.mat
% dag_sp(A,1)
%
% See also SHORTEST_PATHS
%
% David Gleich
% 23 April 2006
%
algname = 'dag';
if (nargin > 2)
options = varargin{1};
options.algname = algname;
else
options = struct('algname',algname);
end;
[d pred] = shortest_paths(A,u,options);
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