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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.
See Also:
CPXgetstat, CPXsolninfo, CPXsolution
| env | A pointer to the CPLEX environment as returned by |
| lp | A pointer to the CPLEX problem object as returned by |
CPXERR_NO_MEMORY) or encountering invalid data in the CPLEX problem object (CPXERR_NO_PROBLEM). Exceeding a user-specified CPLEX limit, or proving the model infeasible or unbounded, are not considered errors. Note that a zero return value does not necessarily mean that a solution exists. Use query routines CPXsolninfo, CPXgetstat, and CPXsolution to obtain further information about the status of the optimization.