The OPTGRAPH Procedure

Each table that the OPTGRAPH procedure creates has a name associated with it, and you must use this name to refer to the table when you use ODS statements. These names are listed in Table 59.

The following code uses the example in the section Traveling Salesman Problem Applied to a Simple Undirected Graph and calculates both an optimal traveling salesman tour and a minimum spanning tree. This code produces all four ODS output tables listed in Table 59.

data LinkSetIn;
   input from $ to $ weight @@;
   datalines;
A B 1.0 A C 1.0 A D 1.5 B C 2.0 B D 4.0
B E 3.0 C D 3.0 C F 3.0 C H 4.0 D E 1.5
D F 3.0 D G 4.0 E F 1.0 E G 1.0 F G 2.0
F H 4.0 H I 3.0 I J 1.0 C J 5.0 F J 3.0
F I 1.0 H J 1.0
;

proc optgraph
   loglevel   = moderate
   data_links = LinkSetIn
   out_nodes  = NodeSetOut;
   mst
     out      = MST;
   tsp
     out      = TSP;
   performance details;
run;
%put &_OPTGRAPH_;
%put &_OPTGRAPH_TSP_;
%put &_OPTGRAPH_MST_;

The performance information table in Figure 135 provides information about the computing environment. The value for Number of Threads is the maximum number of threads that are used in processing.

The procedure task timing table in Figure 136 provides a breakdown of each task and the amount of real time spent in processing.

The problem summary table in Figure 137 provides a basic summary of the graph (or matrix) input.

The solution summary tables in Figure 138 and Figure 139 provide a basic solution summary for each algorithm that is processed. The information in these tables matches the information that is provided in the macro variables for each algorithm, described in the section Macro Variables.