The OPTNET Procedure
- Overview
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Getting Started
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SyntaxFunctional SummaryPROC OPTNET StatementBICONCOMP StatementCLIQUE StatementCONCOMP StatementCYCLE StatementDATA_LINKS_VAR StatementDATA_MATRIX_VAR StatementDATA_NODES_VAR StatementLINEAR_ASSIGNMENT StatementMINCOSTFLOW StatementMINCUT StatementMINSPANTREE StatementPERFORMANCE StatementSHORTPATH StatementTRANSITIVE_CLOSURE StatementTSP Statement
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DetailsGraph Input DataMatrix Input DataData Input OrderParallel ProcessingNumeric LimitationsSize LimitationsBiconnected Components and Articulation PointsCliqueConnected ComponentsCycleLinear Assignment (Matching)Minimum-Cost Network FlowMinimum CutMinimum Spanning TreeShortest PathTransitive ClosureTraveling Salesman ProblemMacro VariablesODS Table Names
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ExamplesArticulation Points in a Terrorist NetworkCycle Detection for Kidney Donor ExchangeLinear Assignment Problem for Minimizing Swim TimesLinear Assignment Problem, Sparse Format versus Dense FormatMinimum Spanning Tree for Computer Network TopologyTransitive Closure for Identification of Circular Dependencies in a Bug Tracking SystemTraveling Salesman Tour through US Capital Cities
- References
Parallel Processing
PROC OPTNET can take advantage of multicore chip technology by processing the graph input data in parallel. To enable PROC OPTNET to process in parallel, you can use the NTHREADS= option in the PERFORMANCE statement to specify the number of threads to use.