FunctionMath.GetMinimizer Method

Definition

Namespace: Numerics.NET
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.0.3

Overload List

GetMinimizer(Func<Vector<Double>, Double>) Returns an MultidimensionalOptimizer suitable for finding the minimum of a function using the specified information.
GetMinimizer(Func<Double, Double>) Returns an OneDimensionalOptimizer suitable for solving an equation using the specified information.
GetMinimizer(Func<Vector<Double>, Double>, Func<Vector<Double>, Vector<Double>, Vector<Double>>) Finds a minimum of a function starting from an initial guess.
GetMinimizer(Func<Double, Double>, Func<Double, Double>) Finds a minimum of a function starting from an initial guess.

GetMinimizer(Func<Vector<Double>, Double>)

Returns an MultidimensionalOptimizer suitable for finding the minimum of a function using the specified information.
C# 
public static MultidimensionalOptimizer GetMinimizer(
	this Func<Vector<double>, double> objectiveFunction
)

Parameters

objectiveFunction  Func<Vector<Double>, Double>
A delegate that represents a function of one or more variables.

Return Value

MultidimensionalOptimizer
An MultidimensionalOptimizer object that is set up to find a minimum of objectiveFunction.

Usage Note

In Visual Basic and C#, you can call this method as an instance method on any object of type Func<Vector<Double>, Double>. When you use instance method syntax to call this method, omit the first parameter. For more information, see Extension Methods (Visual Basic) or Extension Methods (C# Programming Guide).

Remarks

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

GetMinimizer(Func<Double, Double>)

Returns an OneDimensionalOptimizer suitable for solving an equation using the specified information.
C# 
public static OneDimensionalOptimizer GetMinimizer(
	this Func<double, double> objectiveFunction
)

Parameters

objectiveFunction  Func<Double, Double>
A delegate that represents a function of one variable that specifies the function on the left-hand side of the equation.

Return Value

OneDimensionalOptimizer
An OneDimensionalOptimizer object that is set up to solve an equation for the specifed target function.

Usage Note

In Visual Basic and C#, you can call this method as an instance method on any object of type Func<Double, Double>. When you use instance method syntax to call this method, omit the first parameter. For more information, see Extension Methods (Visual Basic) or Extension Methods (C# Programming Guide).

Remarks

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

GetMinimizer(Func<Vector<Double>, Double>, Func<Vector<Double>, Vector<Double>, Vector<Double>>)

Finds a minimum of a function starting from an initial guess.
C# 
public static MultidimensionalOptimizer GetMinimizer(
	this Func<Vector<double>, double> objectiveFunction,
	Func<Vector<double>, Vector<double>?, Vector<double>> gradientOfObjectiveFunction
)

Parameters

objectiveFunction  Func<Vector<Double>, Double>
A delegate that represents a function of one variable that specifies the function on the left-hand side of the equation.
gradientOfObjectiveFunction  Func<Vector<Double>, Vector<Double>, Vector<Double>>
A delegate that represents a function that returns the gradient function of objectiveFunction in its second argument.

Return Value

MultidimensionalOptimizer
The best approximation to a minimum of objectiveFunction.

Usage Note

In Visual Basic and C#, you can call this method as an instance method on any object of type Func<Vector<Double>, Double>. When you use instance method syntax to call this method, omit the first parameter. For more information, see Extension Methods (Visual Basic) or Extension Methods (C# Programming Guide).

Remarks

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

GetMinimizer(Func<Double, Double>, Func<Double, Double>)

Finds a minimum of a function starting from an initial guess.
C# 
public static OneDimensionalOptimizer GetMinimizer(
	this Func<double, double> objectiveFunction,
	Func<double, double> derivativeOfObjectiveFunction
)

Parameters

objectiveFunction  Func<Double, Double>
A delegate that represents a function of one variable that specifies the function on the left-hand side of the equation.
derivativeOfObjectiveFunction  Func<Double, Double>
A delegate that represents a function of one variable that specifies the derivative function of objectiveFunction.

Return Value

OneDimensionalOptimizer
The best approximation to a minimum of objectiveFunction.

Usage Note

In Visual Basic and C#, you can call this method as an instance method on any object of type Func<Double, Double>. When you use instance method syntax to call this method, omit the first parameter. For more information, see Extension Methods (Visual Basic) or Extension Methods (C# Programming Guide).

Remarks

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

See Also