The COptQuestCompoundConstraint is a pure virtual class.
COptQuestConstraint is a pure virtual class that defines a linear constraint.
The COptQuestContinuousVariable class defines a decision variable that can have
any value between the lower bound and upper bound.
The CoptQuestDiscreteVariable class defines a decision variable whose values
begin at the lower bound and increment by a step size up to the upper bound
Exceptions thrown by the OptQuest Engine.
COptQuestExchangeableGroup is a set of identical items whose values you can exchange without a
change to the result.
COptQuestFixFloatGroup is a set of decision variables that the optimizer searches separately
from the other variables, near the best solution found so far.
A generic structure to hold the candidate points for a max variance kriging
operation (See GeospataialSamplingGenerator)
A generic structure to hold the candidate points for a
max variance kriging operation (See GeospataialSamplingGenerator)
A shared implementation of KrigDistance that handles different types of variables:
locations and "default", which is numeric.
A generic structure to hold the candidate points for a
max variance kriging operation (See GeospataialSamplingGenerator)
Base class for the manifold variables.
The COptQuestMultiObjective is an abstract class.
The COptQuestObjective class is a pure virtual class that defines the objective
of the optimization.
The COptQuestObjectiveFunction class is used to define a linear objective.
The COptQuestOptimization class searches for solutions to problems using a
'black box' approach.
You use the COptQuestOrRequirement class to define a logical "or" relationship
among COptQuestRequirement objects.
The COptQuestRequirement class is a pure virtual class that you use to define
a non-linear constraint.
The COptQuestSearchParameters class contains values that control
the search algorithms.
Use COptQuestSelectionGroup to have a binary variable whose value indicates an on/off state,
where the off state indicates that other variables are not used in the evaluation.
A COptQuestSolution object contains the values for one solution and provides
methods to access information on the solution.
You use the COptQuestSolutionSet class to select a set of solutions
and perform statistical analysis or sensitivity analysis on the
set.
The COptQuestStringConstraint class is used to define linear and non-linear
constraints using a mathematical expression.
The COptQuestStringObjective class is used to define an objective function
using a mathematical expression.
A decision variable whose values are lists of tuples.
With the COptQuestUserControlledObjective, you compute a value for
the optimization objective.
With the COptQuestUserControlledVariable class, you define a variable and
set the value of the variable yourself.
COptQuestVariable is a pure virtual class that defines a decision variable.
A generic interface to return the generalized distance between two vectors.
ISolutionFilter is used to define a filter for a COptQuestSolutionSet object.
COptQuestSequenceVariable) instead.