SymbolicMath.GetMinimizer Method

Definition

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

Overload List

GetMinimizer(Expression<Func<Vector<Double>, Double>>) Returns an MultidimensionalOptimizer suitable for finding a minimum using the specified information.
GetMinimizer(Expression<Func<Double, Double>>) Returns an OneDimensionalOptimizer suitable for solving an equation using the specified information.

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

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

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

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

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(Expression<Func<Double, Double>>)

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

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

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

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