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The routine CPXdualopt
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 the dual simplex algorithm. When
this function is called, the CPLEX dual simplex optimization routines
attempt to optimize the specified problem. The results of the optimization
are recorded in the CPLEX problem object.
Example
status = CPXdualopt (env, lp);
env | A pointer to the CPLEX environment as returned by |
lp | A pointer to a CPLEX problem object as returned by |
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 query routines CPXsolninfo
,
CPXgetstat
, and CPXsolution
to obtain
further information about the status of the optimization.