Uses of Class
neqsim.process.util.reconciliation.DataReconciliationEngine

Packages that use DataReconciliationEngine

Package	Description
neqsim.process.util.reconciliation	Data reconciliation and steady-state detection for online process optimization.

Uses of DataReconciliationEngine in neqsim.process.util.reconciliation

Methods in neqsim.process.util.reconciliation that return DataReconciliationEngine

Modifier and Type	Method	Description
DataReconciliationEngine	DataReconciliationEngine.addConstraint(double[] coefficients)	Adds a linear constraint row: sum(coefficients[i] * variable[i]) = 0.
DataReconciliationEngine	DataReconciliationEngine.addConstraint(double[] coefficients, String name)	Adds a named linear constraint row: sum(coefficients[i] * variable[i]) = 0.
DataReconciliationEngine	DataReconciliationEngine.addMassBalanceConstraint(String name, String[] inletNames, String[] outletNames)	Convenience method to add a mass balance constraint using arrays of names.
DataReconciliationEngine	DataReconciliationEngine.addMassBalanceConstraint(String name, List<String> inletNames, List<String> outletNames)	Convenience method to add a mass balance constraint around a node.
DataReconciliationEngine	DataReconciliationEngine.addVariable(ReconciliationVariable variable)	Adds a variable to the reconciliation problem.
DataReconciliationEngine	SteadyStateDetector.createReconciliationEngine()	Creates a DataReconciliationEngine pre-populated with variables from this detector.
DataReconciliationEngine	DataReconciliationEngine.setGrossErrorThreshold(double threshold)	Sets the gross error detection threshold (z-value).