ILOG CPLEX C++ API 9.0 Reference Manual

IloCplex::SolveCallbackI
Description
See Also
Constructors
Methods
An instance of the class IloCplex::SolveCallbackI can be used to solve node
relaxations during branch & cut search. It allows setting a starting point for the solve or
selecting the algorithm on a per-node basis.
The methods of this class are protected for use in deriving a user-written callback class
and in implementing the main method there.
If an attempt is made to access information not available to an instance of this class, an
exception is thrown.
IloCplex, IloCplex::Callback, IloCplex::CallbackI,
IloCplex::ControlCallbackI, ILOSOLVECALLBACK0
protected SolveCallbackI()
This constructor creates a callback for use in an application for solving the node LPs
during branch & cut searches.
protected IloCplex::CplexStatus getCplexStatus()
This method returns the ILOG CPLEX status of the instance of IloCplex at the
current node (that is, the state of the optimizer at the node) during the last call to solve
(which may have been called directly in the callback or by IloCplex when processing
the node).
The enumeration IloCplex::CplexStatus lists the possible status values.
protected IloAlgorithm::Status getStatus()
This method returns the status of the solution found by the instance of IloCplex at the
current node during the last call to solve (which may have been called directly in the
callback or by IloCplex when processing the node).
The enumeration IloAlgorithm::Status lists the possible status values.
protected IloBool isDualFeasible()
This method returns IloTrue if the solution provided by the last solve call is dual
feasible. Note that an IloFalse return value does not necessarily mean that the
solution is not dual feasible. It simply means that the relevant algorithm was not able to
conclude it was dual feasible when it terminated.
protected IloBool isPrimalFeasible()
This method returns IloTrue if the solution provided by the last solve call is primal
feasible. Note that an IloFalse return value does not necessarily mean that the
solution is not primal feasible. It simply means that the relevant algorithm was not able
to conclude it was primal feasible when it terminated.
protected void setVectors(const IloNumArray x,
const IloIntVarArray var,
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