ActiveSetSequentialQuadraticProgrammingOptimizer Methods | 
The ActiveSetSequentialQuadraticProgrammingOptimizer type exposes the following members.
| Name | Description | |
|---|---|---|
| Clone | 
            Clones this object using the specified context.
              (Overrides ParameterOptimizerClone(CopyContext).) | |
| ComputeNextStep | 
            Computes the next optimization step that this parameter optimizer should take.
              (Overrides SequentialQuadraticProgrammingOptimizerComputeNextStep(Double, Matrix, ParameterOptimizerIterationResults, ITrackCalculationProgress).) | |
| ConvergenceCheck | 
            Determines whether the optimizer converged or not.
              (Overrides SequentialQuadraticProgrammingOptimizerConvergenceCheck(OptimizerMultivariableFunctionResults, OptimizerMultivariableFunctionResults).) | |
| Dispose | 
        Releases any resources associated with this instance.
        (Inherited from ParameterOptimizer.) | |
| Equals | Determines whether the specified object is equal to the current object.  (Inherited from Object.) | |
| FindSolution(Int32) | 
            Optimizes the Function.  By default, the results of every iteration will be stored.
              (Inherited from ParameterOptimizer.) | |
| FindSolution(Int32, Boolean) | 
            Optimizes the Function.
              (Inherited from ParameterOptimizer.) | |
| FindSolution(Int32, Boolean, ITrackCalculationProgress) | 
            Optimizes the Function.
              (Inherited from SequentialQuadraticProgrammingOptimizer.) | |
| GetHashCode | Serves as the default hash function.   (Inherited from Object.) | |
| GetType | Gets the Type of the current instance.  (Inherited from Object.) | |
| Reset | 
            Resets the ParameterOptimizer by setting the LastRunsResults to
             and the CurrentIteration to zero. This method should be
            called in any derived version.
              (Inherited from ParameterOptimizer.) | |
| SolveLagrangianDerivativeEquation | 
            Solves for the Lagrange multipliers and derivatives of the Lagrangian
            using the cost function, equality errors, active inequality errors,
            and the gradients of each with respect to the variables.
              | |
| ToString | Returns a string that represents the current object.  (Inherited from Object.) | |
| UpdateHessian | 
            Uses a damped Broyden-Fletcher-Goldfarb-Shanno (BFGS) quasi-Newton update
            to update the Hessian matrix.
              |