ActiveSetSequentialQuadraticProgrammingOptimizer Class 
Namespace: AGI.Foundation.NumericalMethods
The ActiveSetSequentialQuadraticProgrammingOptimizer type exposes the following members.
Name  Description  

ActiveSetSequentialQuadraticProgrammingOptimizer 
Initializes a new instance. You must add at least one variable to the
Variables as well as set the Function.
Further, either the CostFunction must be set or at least one
equality constraint must be added to the
Equalities to pose a welldefined optimization problem.

Name  Description  

ConvergenceFunction  Gets or sets a customizable convergence function that is used to determine if the optimizer converges on a given iteration. By default, the cost function change from the previous to the current iteration must be within the Tolerance of the CostFunction, all of the variable changes from the previous to the current iteration must be within the VariableTolerance of the Variables, all of the equality constraints in Equalities must match their desired values within tolerance, and all of the inequality constraints in Inequalities must be satisfied.  
CostFunction 
Gets or sets the cost function settings corresponding to the
results computed by the Function. If there are no
equality constraints set, then this property must
not be for this optimizer to work.
(Inherited from ParameterOptimizer.)  
CurrentIteration 
Gets or sets the number of the current iteration. This should be incremented in
the FindSolution(Int32, Boolean, ITrackCalculationProgress) method.
(Inherited from ParameterOptimizer.)  
Equalities 
Gets the equality constraint settings corresponding to the
results computed by the Function. If the CostFunction is ,
there must be at least one constraint set for this optimizer to work.
(Inherited from ParameterOptimizer.)  
Function 
Gets or sets the function to solve. When
the solver converges, this function must
have been run with the variable values that converged. This behavior must be obeyed when
Multithreaded is either or .
(Inherited from ParameterOptimizer.)  
Inequalities 
Gets the inequality constraint settings corresponding to the
results computed by the Function.
(Inherited from ParameterOptimizer.)  
IsThreadSafe 
Gets a value indicating whether the methods on this instance are safe to call from
multiple threads simultaneously.
(Overrides ParameterOptimizerIsThreadSafe.)  
LastRunsResults 
Gets or sets the results
of the solver run. This includes such information as if the solver converged,
all the iteration results (if configured to save them), if the run was aborted, etc.
(Inherited from ParameterOptimizer.)  
LineSearchSettings 
Gets or sets an optional property that can be used to specify tolerances, convergence criteria, and maximum iterations
for a line search that uses GoldenSectionFindExtremum to find the optimal feasible step in the same
direction as the computed step.
 
Multithreaded 
Gets or sets a value indicating whether this optimizer should evaluate an iteration with as many threads as the current threading
policy facet will allow, or with as many Variables
as there are in the function plus 1; whichever is less. By default this is .
(Overrides ParameterOptimizerMultithreaded.)  
Variables 
Gets the SolverVariableSettings that will be used when computing this function.
The variables passed to the function will be in the same order as this list of settings. There
must be at least one variable set for this solver to work.
(Inherited from ParameterOptimizer.) 
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 BroydenFletcherGoldfarbShanno (BFGS) quasiNewton update
to update the Hessian matrix.
