Unfit  3.1.1
Data fitting and optimization software
Public Member Functions | List of all members
Unfit::UnitTests::SampleCostFunction1 Class Reference

#include <NelderMeadTestFunctions.hpp>

Inheritance diagram for Unfit::UnitTests::SampleCostFunction1:
Unfit::GenericCostFunction

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 1 is defined as

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

Number of dimensions = 2 The global minimum is: (3, 2) Initial guess: (0, 0.8)

Reference : https://docs.google.com/viewer?a=v&q=cache:qDWbSzyjw98J:math. fullerton.edu/mathews/n2003/neldermead/NelderMeadProof.pdf+&hl=en&gl=sg&pid= bl&srcid=ADGEESgadIne-2Pom8fA4eyCi-wrcuSOu4Qytf8KctcUBggvGpahFMKcco7UhNUCS -1ie2ChoM3OjO5RSgp05mrK3lBtbsXQFQFrMP426SOH8BGxZO4YcdbRBXsGn4HsyO02eKFIgWIr &sig=AHIEtbR1PU77goer0s2S6zH7HKthD0USmQ

Member Function Documentation

◆ operator()()

std::vector<double> Unfit::UnitTests::SampleCostFunction1::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 = x^2 - 4x + y^2 - y - xy

Intended use : SampleCostFunction1 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
Returns
cost

Implements Unfit::GenericCostFunction.


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