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282 <strong>LINDO</strong>/<strong>LINDO</strong>Global<br />
GOP ITRLIM IPM (real)<br />
This is the total barrier iteration limit summed over all branches in GOP. The default value is -1, which means no<br />
iteration limit is imposed. If this limit is reached, GOP will stop.<br />
(default = -1)<br />
GOP ITRLIM NLP (real)<br />
This is the total nonlinear iteration limit summed over all branches in GOP. The default value is -1, which means no<br />
iteration limit is imposed. If this limit is reached, GOP will stop.<br />
(default = -1)<br />
GOP LINEARZ (integer)<br />
This is a flag indicating if GOP exploits linearizable model.<br />
(default = 1)<br />
0 Exploit lineariable model<br />
1 Do not exploit lineariable model<br />
REPORTEVSOL (integer)<br />
(default = 0)<br />
STOC NSAMPLE PER STAGE (string)<br />
Comma separated list of sample sizes per stage. The sample size of stage 1 is assumed to be 1 so that this list starts<br />
with stage stage 2.<br />
STOC NSAMPLE SPAR (integer)<br />
Common sample size per stochastic parameter. Possible values are positive integers.<br />
(default = -1)<br />
STOC NSAMPLE STAGE (integer)<br />
Common sample size per stage.<br />
(default = -1)<br />
STOC RG SEED (integer)<br />
Seed to initialize the random number generator. Possible values are positive integers.<br />
(default = 1031)<br />
STOC METHOD (integer)<br />
Stochastic optimization method to solve the model.<br />
(default = -1)<br />
-1 Solve with the method chosen by the solver<br />
0 Solve the deterministic equivalent (DETEQ)<br />
1 Solve with the Nested Benders Decomposition (NBD) method<br />
STOC REOPT (integer)<br />
Reoptimization method to solve the node-models.<br />
(default = 0)<br />
0 Solver decides<br />
1 Use primal method<br />
2 Use dual simplex<br />
3 Use barrier solver