The OPTLP Procedure

Functional Summary

Table 6.1 summarizes the list of options available for the OPTLP procedure, classified by function.

Table 6.1: Options for the OPTLP Procedure

Description

Option

Data Table Options

 

Specifies the input data table

DATA=

Specifies the dual input data table for warm start

DUALIN=

Specifies the dual solution output data table

DUALOUT=

Specifies the constant part of the objective

OBJCONSTANT=

Specifies whether the LP model is a maximization or minimization problem

OBJSENSE=

Specifies the primal input data table for warm start

PRIMALIN=

Specifies the primal solution output data table

PRIMALOUT=

Saves output data tables only if optimal

SAVE_ONLY_IF_OPTIMAL

Solver Options

 

Enables or disables IIS detection

IIS=

Specifies the type of algorithm

ALGORITHM=

Specifies the type of algorithm called after network simplex

ALGORITHM2=

Presolve Option

 

Specifies the type of presolve

PRESOLVER=

Controls the dualization of the problem

DUALIZE=

Control Options

 

Specifies the feasibility tolerance

FEASTOL=

Specifies the frequency of printing solution progress

LOGFREQ=

Specifies the detail of solution progress printed in log

LOGLEVEL=

Specifies the maximum number of iterations

MAXITER=

Specifies the time limit for the optimization process

MAXTIME=

Specifies the optimality tolerance

OPTTOL=

Enables or disables printing summary

PRINTLEVEL=

Specifies units of CPU time or real time

TIMETYPE=

Simplex Algorithm Options

 

Specifies the type of initial basis

BASIS=

Specifies the type of pricing strategy

PRICETYPE=

Specifies the queue size for pricing

QUEUESIZE=

Enables or disables scaling of the problem

SCALE=

Specifies the initial seed for the random number generator

SEED=

Interior Point Algorithm Options

 

Enables or disables interior crossover

CROSSOVER=

Specifies the stopping criterion based on duality gap

DUALITYGAP=

Parallel Options

 

Enables the OPTLP procedure to run deterministically

DETERMINISTIC=

Specifies number of threads for the parallel OPTLP procedure to use

NTHREADS=


Last updated: June 14, 2018