Inheritance diagram for Unfit::UnitTests::SampleCostFunction3:

Public Member Functions
std::vector< double >	operator() (const std::vector< double > &x)

Public Member Functions inherited from Unfit::GenericCostFunction
virtual	~GenericCostFunction ()

Detailed Description

The Sample function 2 is defined as

(y^2 + 4xy +x^3 - 2x).

Number of dimensions = 2 The global minimum is: (2.896805253, -5.793610507) Initial guess: (0, 0.8)

Reference: http://www.wolframalpha.com/input/ ?i=%28y^2+%2B+4xy+%2Bx^3+-+2x%29 We overload the operator as is required in GenericCostFunction to calculate the cost of the function.

Behaviour: cost = y^2 + 4xy +x^3 - 2x

Intended use : SampleCostFunction2 Func; cost = Func(const std::vector<double> x);

NOTE that the returned cost is the sqare root of the evaluation due to the fact the Nelder Mead class will square the cost.

Parameter:

Parameters

x	(input) vector containing coordinates of x and y

(sqrt(y^2 + x^2))

Number of dimensions = 2 The global minimum is: (0, 0) Initial guess: (5, 0)

Reference:

Member Function Documentation

std::vector<double> Unfit::UnitTests::SampleCostFunction3::operator() ( const std::vector< double > & x )

inlinevirtual

We overload the operator as is required in GenericCostFunction to calculate the cost of the function.

Behaviour: cost = sqrt(y^2 + x^2)

Intended use : SampleCostFunction3 Func; cost = Func(const std::vector<double> x);

NOTE that the returned cost is the sqare root of the evaluation due to the fact the Nelder Mead class will square the cost.

Parameters:

Parameters

x	(input) vector containing coordinates of x and y

The documentation for this class was generated from the following file: