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Optimization Function Reference

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Methods of cgoptimoptions Methods of cgoptimstore

Methods of cgoptimoptions

You use these functions to set up all your optimization settings in the Options section of the file. You can set up any or all of these seven attributes:

• Name

• Description

• Free variables

• Objective functions

• Constraints

• Helper data sets

• Optimization parameters

The following methods are available:

addFreeVariable	Add free variable to optimization
addLinearConstraint	Add linear constraint to optimization
addModelConstraint	Add model constraint to optimization
addObjective	Add objective to optimization
addOperatingPointSet	Add operating point set to optimization
addParameter	Add parameter to optimization
getConstraints	Return information about all optimization constraints
getConstraintsMode	Return current usage of constraints
getDescription	Get current description for optimization function
getEnabled	Get current enabled status for optimization
getFreeVariables	Return optimization free variable labels
getFreeVariablesMode	Return current usage of free variables
getLinearConstraints	Get linear constraint placeholder information
getModelConstraints	Get model constraint placeholder information
getName	Get current name label for optimization function
getNonlcon	Get nonlinear constraint information
getObjectives	Return information about optimization objectives
getObjectivesMode	Return current usage of objective functions
getOperatingPointSets	Return information about optimization operating point sets
getOperatingPointsMode	Return current usage of operating point sets
getParameters	Return information about optimization parameters
getRunInterfaceVersion	Get preferred interface to provide evaluation function
removeConstraint	Remove constraint from optimization
removeFreeVariable	Remove free variable from optimization
removeObjective	Remove objective from optimization
removeOperatingPointSet	Remove operating point set from optimization
removeParameter	Remove parameter from optimization
setConstraintsMode	Set how optimization constraints are to be used
setDescription	Provide description for optimization function
setEnabled	Set enabled status for optimization function
setFreeVariablesMode	Set how optimization free variables are used
setName	Provide name label for optimization function
setObjectivesMode	Set how optimization objective functions are used
setOperatingPointsMode	Set how optimization operating point sets are used
setRunInterfaceVersion	Get preferred interface to provide evaluation function

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Methods of cgoptimstore

The following methods are available:

evaluate	Evaluate optimization objectives and constraints
evaluateConstraint	Evaluate optimization constraints
evaluateNonlcon	Evaluate optimization nonlinear constraints
evaluateObjective	Evaluate optimization objectives
get	Get optimization properties
getA	Get linear inequality constraint matrix.
getB	Get linear inequality constraint target values.
getConstraint	Return constraint labels
getDataset	Retrieve data from data set
getFreeVariables	Get optimal values of free variables
getInitFreeVal	Get initial free values for optimization
getLB	Get free variable lower bounds
getLcon	Return linear constraint labels
getNumConstraint	Return number of constraints per label
getNumConstraintLabels	Return number of constraint labels
getNumLcon	Return number of linear constraints per label
getNumLconLabels	Return number of linear constraint labels
getNumNonlcon	Return number of nonlinear constraints per label
getNumNonlconLabels	Return number of nonlinear constraint labels
getNumObjectiveLabels	Return number of objective labels
getNumObjectives	Return number of objectives per label
getNumRowsInDataset	Get number of rows in optimization data set
getObjectives	Return objective labels for optimization
getObjectiveType	Return objective type
getOptimOptions	Retrieve optimization options object
getOutputInfo	Get output information for optimization
getParam	Get optimization parameter
getStopState	Current stop state for optimization
getUB	Get free variable upper bounds
gridEvaluate	Grid evaluation of optimization objectives and constraints
gridPevEvaluate	Grid evaluation of prediction error variance (PEV)
isScalarFreeVariables	Return whether all free variables are scalars
nEvaluate	Natural evaluation of optimization objectives and constraints
nEvaluateConstraint	Natural evaluation of optimization constraints
nEvaluateNonlcon	Natural evaluation of optimization nonlinear constraints
nEvaluateObjective	Natural evaluation of optimization objectives
optimset	Create/alter optimization OPTIONS structure
pevEvaluate	Evaluate prediction error variance (PEV)
setExitStatus	Set exit status information for optimization
setFreeVariables	Set optimal values of free variables
setOutput	Set diagnostic information for optimization
setOutputInfo	Set output information for optimization
setStopState	Set current stop state for optimization

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User-Defined Optimizations

Functions — Alphabetical List

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