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SCIP Doxygen Documentation: Local Subproblem

methods to query information about or strengthen the problem at the current local search node

adds a conflict to a given node or globally to the problem if node == NULL.

Returns

SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

this method can be called in one of the following stages of the SCIP solving process:

• SCIP_STAGE_INITPRESOLVE
• SCIP_STAGE_PRESOLVING
• SCIP_STAGE_EXITPRESOLVE
• SCIP_STAGE_SOLVING

Note

this method will release the constraint

Parameters

scip SCIP data structure node node to add conflict (or NULL if global) cons constraint representing the conflict validnode node at whichaddConf the constraint is valid (or NULL) conftype type of the conflict iscutoffinvolved is a cutoff bound involved in this conflict

Definition at line 3229 of file scip_prob.c.

References FALSE, NULL, SCIP_CALL, SCIP_CONFTYPE_BNDEXCEEDING, SCIP_NODETYPE_PROBINGNODE, SCIP_OKAY, SCIP_Real, SCIPaddCons(), SCIPaddConsNode(), SCIPcheckStage(), SCIPconflictstoreAddConflict(), SCIPconsMarkConflict(), SCIPgetCutoffbound(), SCIPinfinity(), SCIPnodeGetType(), SCIPreleaseCons(), and TRUE.

Referenced by applyCliqueFixings(), SCIP_DECL_CONFLICTEXEC(), SCIP_DECL_HEUREXEC(), and setupAndSolveSubscipRapidlearning().

adds constraint to the given node (and all of its subnodes), even if it is a global constraint; It is sometimes desirable to add the constraint to a more local node (i.e., a node of larger depth) even if the constraint is also valid higher in the tree, for example, if one wants to produce a constraint which is only active in a small part of the tree although it is valid in a larger part. In this case, one should pass the more global node where the constraint is valid as "validnode". Note that the same constraint cannot be added twice to the branching tree with different "validnode" parameters. If the constraint is valid at the same node as it is inserted (the usual case), one should pass NULL as "validnode". If the "validnode" is the root node, it is automatically upgraded into a global constraint, but still only added to the given node. If a local constraint is added to the root node, it is added to the global problem instead.

Returns

SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

this method can be called in one of the following stages of the SCIP solving process:

• SCIP_STAGE_INITPRESOLVE
• SCIP_STAGE_PRESOLVING
• SCIP_STAGE_EXITPRESOLVE
• SCIP_STAGE_SOLVING

Parameters

scip SCIP data structure node node to add constraint to cons constraint to add validnode node at which the constraint is valid, or NULL

Definition at line 3324 of file scip_prob.c.

References FALSE, NULL, SCIP_CALL, SCIP_INVALIDDATA, SCIP_OKAY, SCIPcheckStage(), SCIPconsGetName(), SCIPconsSetLocal(), SCIPerrorMessage, SCIPnodeAddCons(), SCIPnodeGetDepth(), SCIPprobAddCons(), SCIPtreeGetEffectiveRootDepth(), TRUE, and SCIP_Cons::validdepth.

Referenced by addBranchingComplementaritiesSOS1(), addLocalConss(), addSplitcons(), applyBinaryConstraints(), branchBalancedCardinality(), branchCons(), createNAryBranch(), executeStrongBranching(), fixVariableZeroNode(), SCIP_DECL_BRANCHEXECLP(), SCIP_DECL_BRANCHEXECPS(), SCIP_DECL_CONFLICTEXEC(), SCIP_DECL_CONSPROP(), SCIP_DECL_HEUREXEC(), SCIPaddConflict(), SCIPaddConsLocal(), and selectVarMultAggrBranching().

adds constraint locally to the current node (and all of its subnodes), even if it is a global constraint; It is sometimes desirable to add the constraint to a more local node (i.e., a node of larger depth) even if the constraint is also valid higher in the tree, for example, if one wants to produce a constraint which is only active in a small part of the tree although it is valid in a larger part.

If the constraint is valid at the same node as it is inserted (the usual case), one should pass NULL as "validnode". If the "validnode" is the root node, it is automatically upgraded into a global constraint, but still only added to the given node. If a local constraint is added to the root node, it is added to the global problem instead.

Returns

SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

this method can be called in one of the following stages of the SCIP solving process:

• SCIP_STAGE_INITPRESOLVE
• SCIP_STAGE_PRESOLVING
• SCIP_STAGE_EXITPRESOLVE
• SCIP_STAGE_SOLVING

Note

The same constraint cannot be added twice to the branching tree with different "validnode" parameters. This is the case due internal data structures and performance issues. In such a case you should try to realize your issue using the method SCIPdisableCons() and SCIPenableCons() and control these via the event system of SCIP.

adds constraint locally to the current node (and all of its subnodes), even if it is a global constraint; It is sometimes desirable to add the constraint to a more local node (i.e., a node of larger depth) even if the constraint is also valid higher in the tree, for example, if one wants to produce a constraint which is only active in a small part of the tree although it is valid in a larger part.

If the constraint is valid at the same node as it is inserted (the usual case), one should pass NULL as "validnode". If the "validnode" is the root node, it is automatically upgraded into a global constraint, but still only added to the given node. If a local constraint is added to the root node, it is added to the global problem instead.

Returns

SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

this method can be called in one of the following stages of the SCIP solving process:

• SCIP_STAGE_INITPRESOLVE
• SCIP_STAGE_PRESOLVING
• SCIP_STAGE_EXITPRESOLVE
• SCIP_STAGE_SOLVING

Note

The same constraint cannot be added twice to the branching tree with different "validnode" parameters. This is the case due to internal data structures and performance issues. In such a case you should try to realize your issue using the method SCIPdisableCons() and SCIPenableCons() and control these via the event system of SCIP.

Parameters

scip SCIP data structure cons constraint to add validnode node at which the constraint is valid, or NULL

Definition at line 3394 of file scip_prob.c.

References FALSE, NULL, SCIP_CALL, SCIP_OKAY, SCIPaddConsNode(), SCIPcheckStage(), SCIPtreeGetCurrentNode(), and TRUE.

Referenced by addAllConss(), createConflict(), rangedRowPropagation(), SCIP_DECL_CONSINITLP(), and upgradeCons().

disables constraint's separation, enforcing, and propagation capabilities at the given node (and all subnodes); if the method is called at the root node, the constraint is globally deleted from the problem; the constraint deletion is being remembered at the given node, s.t. after leaving the node's subtree, the constraint is automatically enabled again, and after entering the node's subtree, it is automatically disabled; this may improve performance because redundant checks on this constraint are avoided, but it consumes memory; alternatively, use SCIPdisableCons()

Returns

SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

this method can be called in one of the following stages of the SCIP solving process:

• SCIP_STAGE_INITPRESOLVE
• SCIP_STAGE_PRESOLVING
• SCIP_STAGE_EXITPRESOLVE
• SCIP_STAGE_SOLVING

Parameters

scip SCIP data structure node node to disable constraint in cons constraint to locally delete

Definition at line 3425 of file scip_prob.c.

References FALSE, NULL, SCIP_CALL, SCIP_OKAY, SCIP_STAGE_EXITPRESOLVE, SCIP_STAGE_INITPRESOLVE, SCIPcheckStage(), SCIPconsDelete(), SCIPconsIsAdded(), SCIPnodeDelCons(), SCIPnodeGetDepth(), SCIPtreeGetEffectiveRootDepth(), and TRUE.

Referenced by branchCons(), and createNAryBranch().

disables constraint's separation, enforcing, and propagation capabilities at the current node (and all subnodes); if the method is called during problem modification or at the root node, the constraint is globally deleted from the problem; the constraint deletion is being remembered at the current node, s.t. after leaving the current subtree, the constraint is automatically enabled again, and after reentering the current node's subtree, it is automatically disabled again; this may improve performance because redundant checks on this constraint are avoided, but it consumes memory; alternatively, use SCIPdisableCons()

Returns

SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

this method can be called in one of the following stages of the SCIP solving process:

• SCIP_STAGE_PROBLEM
• SCIP_STAGE_INITPRESOLVE
• SCIP_STAGE_PRESOLVING
• SCIP_STAGE_EXITPRESOLVE
• SCIP_STAGE_SOLVING

disables constraint's separation, enforcing, and propagation capabilities at the current node (and all subnodes); if the method is called during problem modification or at the root node, the constraint is globally deleted from the problem; the constraint deletion is being remembered at the current node, s.t. after leaving the current subtree, the constraint is automatically enabled again, and after reentering the current node's subtree, it is automatically disabled again; this may improve performance because redundant checks on this constraint are avoided, but it consumes memory; alternatively, use SCIPdisableCons()

Returns

SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

this method can be called in one of the following stages of the SCIP solving process:

• SCIP_STAGE_PROBLEM
• SCIP_STAGE_INITPRESOLVE
• SCIP_STAGE_PRESOLVING
• SCIP_STAGE_EXITPRESOLVE
• SCIP_STAGE_SOLVING

Note

SCIP stage does not get changed

Parameters

scip SCIP data structure cons constraint to locally delete

Definition at line 3475 of file scip_prob.c.

References SCIP_Cons::addconssetchg, FALSE, NULL, SCIP_CALL, SCIP_INVALIDCALL, SCIP_OKAY, SCIP_STAGE_EXITPRESOLVE, SCIP_STAGE_INITPRESOLVE, SCIP_STAGE_PRESOLVING, SCIP_STAGE_PROBLEM, SCIP_STAGE_SOLVING, SCIPcheckStage(), SCIPconsDelete(), SCIPconsIsAdded(), SCIPerrorMessage, SCIPnodeDelCons(), SCIPnodeGetDepth(), SCIPtreeGetCurrentNode(), SCIPtreeGetEffectiveRootDepth(), and TRUE.

Referenced by addAllConss(), analyzeZeroResultant(), checkBounddisjunction(), checkKnapsack(), checkLogicor(), checkRedundancy(), checkVarbound(), consdataFixOperandsOne(), consdataFixResultantZero(), detectRedundantVars(), initPricing(), presolveRedundantConss(), processBinvarFixings(), processFixings(), processRealBoundChg(), propagateCons(), propCardinality(), propConsSOS1(), propIndicator(), propSOS2(), SCIP_DECL_CONSACTIVE(), SCIP_DECL_CONSPRESOL(), solveIndependentCons(), solveSubproblem(), and upgradeCons().

gets estimate of best primal solution w.r.t. transformed problem contained in current subtree

Returns

estimate of best primal solution w.r.t. transformed problem contained in current subtree

Precondition

this method can be called in one of the following stages of the SCIP solving process:

• SCIP_STAGE_SOLVING

Parameters

Definition at line 3547 of file scip_prob.c.

References FALSE, NULL, SCIP_CALL_ABORT, SCIP_INVALID, SCIPcheckStage(), SCIPnodeGetEstimate(), SCIPtreeGetCurrentNode(), and TRUE.

Referenced by branchBalancedCardinality(), branchCons(), branchUnbalancedCardinality(), enforceConflictgraph(), enforceConssSOS1(), enforceSOS2(), SCIP_DECL_BRANCHEXECLP(), and SCIP_DECL_BRANCHEXECPS().

gets lower bound of current node in transformed problem

Returns

lower bound of current node in transformed problem

Precondition

this method can be called in one of the following stages of the SCIP solving process:

• SCIP_STAGE_SOLVING

Parameters

Definition at line 3586 of file scip_prob.c.

References FALSE, NULL, SCIP_CALL_ABORT, SCIP_INVALID, SCIPcheckStage(), SCIPnodeGetLowerbound(), SCIPtreeGetCurrentNode(), and TRUE.

Referenced by branch(), checkExec(), execRelpscost(), SCIP_DECL_CONSSEPALP(), SCIP_DECL_HEUREXEC(), and SCIP_DECL_SEPAEXECSOL().

if given value is tighter (larger for minimization, smaller for maximization) than the current node's dual bound (in original problem space), sets the current node's dual bound to the new value

Note

the given new bound has to be a dual bound, i.e., it has to be valid for the original problem.

Returns

SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

this method can be called in one of the following stages of the SCIP solving process:

• SCIP_STAGE_PROBLEM
• SCIP_STAGE_PRESOLVING
• SCIP_STAGE_PRESOLVED
• SCIP_STAGE_SOLVING

Parameters

scip SCIP data structure newbound new dual bound for the node (if it's tighter than the old one)

Definition at line 3647 of file scip_prob.c.

References FALSE, SCIP_CALL, SCIP_INVALIDCALL, SCIP_OKAY, SCIP_STAGE_PRESOLVED, SCIP_STAGE_PRESOLVING, SCIP_STAGE_PROBLEM, SCIP_STAGE_SOLVING, SCIPABORT, SCIPcheckStage(), SCIPerrorMessage, SCIPprobExternObjval(), SCIPprobInternObjval(), SCIPprobUpdateDualbound(), SCIPtreeGetCurrentNode(), SCIPupdateNodeLowerbound(), and TRUE.

Referenced by setupAndSolveSubscipRapidlearning(), and setupProblem().

if given value is larger than the current node's lower bound (in transformed problem), sets the current node's lower bound to the new value

Note

the given new bound has to be a lower bound, i.e., it has to be valid for the transformed problem.

Returns

SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

this method can be called in one of the following stages of the SCIP solving process:

• SCIP_STAGE_PRESOLVING
• SCIP_STAGE_PRESOLVED
• SCIP_STAGE_SOLVING

Parameters

scip SCIP data structure newbound new lower bound for the node (if it's larger than the old one)

Definition at line 3697 of file scip_prob.c.

References FALSE, SCIP_CALL, SCIP_INVALIDCALL, SCIP_OKAY, SCIP_STAGE_PRESOLVED, SCIP_STAGE_PRESOLVING, SCIP_STAGE_SOLVING, SCIPABORT, SCIPcheckStage(), SCIPerrorMessage, SCIPprobExternObjval(), SCIPprobUpdateDualbound(), SCIPtreeGetCurrentNode(), SCIPupdateNodeLowerbound(), and TRUE.

Referenced by branch(), checkParallelObjective(), execRelpscost(), SCIP_DECL_BRANCHEXECLP(), SCIP_DECL_PRICERREDCOST(), and solveComponent().

if given value is tighter (larger for minimization, smaller for maximization) than the node's dual bound, sets the node's dual bound to the new value

Returns

SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

this method can be called in one of the following stages of the SCIP solving process:

• SCIP_STAGE_SOLVING

if given value is tighter (higher for minimization, lower for maximization) than the node's dual bound, sets the node's dual bound to the new value.

Note

must not be used on a leaf because the node priority queue remains untouched

Returns

SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

this method can be called in one of the following stages of the SCIP solving process:

• SCIP_STAGE_SOLVING

Parameters

scip SCIP data structure node node to update dual bound for newbound new dual bound for the node (if it's tighter than the old one)

Definition at line 3738 of file scip_prob.c.

References FALSE, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPprobInternObjval(), SCIPupdateNodeLowerbound(), and TRUE.

if given value is larger than the node's lower bound (in transformed problem), sets the node's lower bound to the new value

Returns

SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

this method can be called in one of the following stages of the SCIP solving process:

• SCIP_STAGE_SOLVING

if given value is higher than the node's lower bound (in transformed problem), sets the node's lower bound to the new value.

Note

must not be used on a leaf because the node priority queue remains untouched

Returns

SCIP_OKAY is returned if everything worked. Otherwise a suitable error code is passed. See SCIP_RETCODE for a complete list of error codes.

Precondition

this method can be called in one of the following stages of the SCIP solving process:

• SCIP_STAGE_SOLVING

Parameters

scip SCIP data structure node node to update lower bound for newbound new lower bound for the node (if it's larger than the old one)

Definition at line 3762 of file scip_prob.c.

References FALSE, SCIP_CALL, SCIP_OKAY, SCIPcheckStage(), SCIPisLT(), SCIPnodeCutoff(), SCIPnodeUpdateLowerbound(), and TRUE.

Referenced by branch(), branchOnVar(), enforceConflictgraph(), execRelpscost(), SCIP_DECL_BRANCHEXECLP(), SCIPupdateLocalDualbound(), SCIPupdateLocalLowerbound(), and SCIPupdateNodeDualbound().

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