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AugmentedLagrangian Properties

The AugmentedLagrangian type exposes the following members.

Properties
  NameDescription
Public propertyEvaluations
Public propertyFunction
Gets or sets the function to be optimized.
(Inherited from BaseOptimizationMethod.)
Public propertyGradient
Gets or sets a function returning the gradient vector of the function to be optimized for a given value of its free parameters.
(Inherited from BaseGradientOptimizationMethod.)
Public propertyIterations
Public propertyMaxEvaluations
Gets or sets the maximum number of evaluations to be performed during optimization. Default is 0 (evaluate until convergence).
Public propertyNumberOfVariables
Gets the number of variables (free parameters) in the optimization problem.
(Inherited from BaseOptimizationMethod.)
Public propertyOptimizer
Gets the inner dual problem optimization algorithm.
Public propertySolution
Gets the current solution found, the values of the parameters which optimizes the function.
(Inherited from BaseOptimizationMethod.)
Public propertyStatus
Public propertyToken
Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.
(Inherited from BaseOptimizationMethod.)
Public propertyValue
Gets the output of the function at the current Solution.
(Inherited from BaseOptimizationMethod.)
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