The routine CPXlpopt may be used, at any time after a linear program has been created via a call to CPXcreateprob, to find a solution to that problem using one of the ILOG CPLEX linear optimizers. The parameter CPX_PARAM_LPMETHOD controls the choice of optimizer (dual simplex, primal simplex, barrier, network simplex, sifting, or concurrent optimization). Currently, with the default parameter setting of Automatic, CPLEX invokes the dual simplex method when no advanced basis or starting vector is loaded or when the advanced indicator is zero. The behavior of the Automatic setting may change in the future.

Example

 status = CPXlpopt (env, lp);
 

See also the example lpex1.c in Getting Started and in the standard distribution.

The routine returns zero unless an error occurred during the optimization.

Examples of errors include exhausting available memory (CPXERR_NO_MEMORY) or encountering invalid data in the CPLEX problem object (CPXERR_NO_PROBLEM).

Exceeding a user-specified CPLEX limit is not considered an error. Proving the model infeasible or unbounded is not considered an error.

Note that a zero return value does not necessarily mean that a solution exists. Use the query routines CPXsolninfo, CPXgetstat, and CPXsolution to obtain further information about the status of the optimization.