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 1.59.
Table 1.59: ODS Tables Produced by PROC OPTGRAPH
Table Name |
Description |
Required Statement or Option |
---|---|---|
PerformanceInfo |
Information about the computing environment |
Default output |
ProblemSummary |
Summary of the graph (or matrix) input |
Default output |
SolutionSummary |
For each algorithm, summary of the solution status |
Default output |
Timing |
Detailed real times for each phase of the procedure |
PERFORMANCE with DETAILS option |
The following code uses the example in the section Traveling Salesman Problem of 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 1.59.
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 1.135 provides information about the computing environment. The value for Number of Threads is the maximum number of threads that are used in processing.
Figure 1.135: Performance Information Table
The procedure task timing table in Figure 1.136 provides a breakdown of each task and the amount of real time spent in processing.
Figure 1.136: Task Timing Table
The problem summary table in Figure 1.137 provides a basic summary of the graph (or matrix) input.
Figure 1.137: Problem Summary Table
The solution summary tables in Figure 1.138 and Figure 1.139 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.
Figure 1.138: Solution Summary Table for MST
Figure 1.139: Solution Summary Table for TSP