SymbolicMath.GetMaximizer Method

public static MultidimensionalOptimizer GetMaximizer(
	Expression<Func<Vector<double>, double>> objectiveFunction
)

Public Shared Function GetMaximizer ( 
	objectiveFunction As Expression(Of Func(Of Vector(Of Double), Double))
) As MultidimensionalOptimizer

public:
static MultidimensionalOptimizer^ GetMaximizer(
	Expression<Func<Vector<double>^, double>^>^ objectiveFunction
)

static member GetMaximizer : 
        objectiveFunction : Expression<Func<Vector<float>, float>> -> MultidimensionalOptimizer 

Parameters

objectiveFunction  Expression<Func<Vector<Double>, Double>>

A lambda expression that represents a multivariate function that specifies the function on the left-hand side of the equation.

Return Value

Use this method when you have very little information about the location of the maximum, but you need more control over the solution process. For example, you may want to specify a different RelativeTolerance.

public static OneDimensionalOptimizer GetMaximizer(
	Expression<Func<double, double>> objectiveFunction
)

Public Shared Function GetMaximizer ( 
	objectiveFunction As Expression(Of Func(Of Double, Double))
) As OneDimensionalOptimizer

public:
static OneDimensionalOptimizer^ GetMaximizer(
	Expression<Func<double, double>^>^ objectiveFunction
)

static member GetMaximizer : 
        objectiveFunction : Expression<Func<float, float>> -> OneDimensionalOptimizer 

Parameters

objectiveFunction  Expression<Func<Double, Double>>

A lambda expression that represents a function of one variable that specifies the function on the left-hand side of the equation.

Return Value

Use this method when you have very little information about the location of the maximum, but you need more control over the solution process. For example, you may want to specify a different RelativeTolerance.

Reference