test_GNumerics.hpp
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/***************************************************************************
* test_GNumerics.hpp - test numerics modules *
* ----------------------------------------------------------------------- *
* copyright (C) 2010-2020 by Juergen Knoedlseder *
* ----------------------------------------------------------------------- *
* *
* This program is free software: you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation, either version 3 of the License, or *
* (at your option) any later version. *
* *
* This program is distributed in the hope that it will be useful, *
* but WITHOUT ANY WARRANTY; without even the implied warranty of *
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the *
* GNU General Public License for more details. *
* *
* You should have received a copy of the GNU General Public License *
* along with this program. If not, see <http://www.gnu.org/licenses/>. *
* *
***************************************************************************/
/**
* @file test_GNumerics.hpp
* @brief Definition of unit tests for numerics module
* @author Juergen Knoedlseder
*/
#ifndef TEST_NUMERICS_HPP
#define TEST_NUMERICS_HPP
/* __ Includes ___________________________________________________________ */
#include <cmath>
#include "GammaLib.hpp"
#include "GTools.hpp"
/***********************************************************************//**
* @class Gauss
*
* @brief Gaussian function
***************************************************************************/
class Gauss : public GFunction {
public:
Gauss(const double& sigma) : m_sigma(sigma) { return; }
virtual ~Gauss(void) { return; }
double eval(const double& x) {
double arg = -0.5*x*x/m_sigma/m_sigma;
double val = 1.0/std::sqrt(gammalib::twopi)/m_sigma * std::exp(arg);
return val;
}
protected:
double m_sigma;
};
/***********************************************************************//**
* @class GaussArray
*
* @brief Gaussian function array
***************************************************************************/
class GaussArray : public GFunctions {
public:
GaussArray(const GVector& sigma) : m_sigma(sigma) { return; }
virtual ~GaussArray(void) { return; }
int size(void) const { return m_sigma.size(); }
GVector eval(const double& x) {
GVector val(m_sigma.size());
for (int i = 0; i < m_sigma.size(); ++i) {
double arg = -0.5*x*x/m_sigma[i]/m_sigma[i];
val[i] = 1.0/std::sqrt(gammalib::twopi)/m_sigma[i] * std::exp(arg);
}
return val;
}
protected:
GVector m_sigma;
};
/***********************************************************************//**
* @class TestGNumerics
*
* @brief Test suite for numerical functions
***************************************************************************/
class TestGNumerics : public GTestSuite
{
public:
// Constructors and destructors
TestGNumerics(void) : GTestSuite(), m_sigma(1.0) { }
virtual ~TestGNumerics(void) { }
// Methods
virtual void set(void);
virtual TestGNumerics* clone(void) const;
virtual std::string classname(void) const { return "TestGNumerics"; }
void test_math(void);
void test_ndarray(void);
void test_fft(void);
void check_fft1(const GNdarray& array,
const GFft& fft,
const GNdarray& back);
void check_fft2(const GNdarray& array,
const GFft& fft,
const GNdarray& back);
void test_function(void);
void test_functions(void);
void test_integral(void);
void test_integrals(void);
void test_romberg_integration(void);
void test_adaptive_simpson_integration(void);
void test_gauss_kronrod_integration(void);
private:
// Private members
double m_sigma;
};
#endif /* TEST_NUMERICS_HPP */