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IntegrationSolver1D.hpp
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Mon, May 6, 02:34

IntegrationSolver1D.hpp
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#ifndef PROJECT_INTEGRALSOLVER1D_HPP
#define PROJECT_INTEGRALSOLVER1D_HPP
#include "IntegrationSolver.hpp"
#include "DomainCartesian.hpp"
#include "FunctionRntoR.hpp"
#include <vector>
class IntegrationSolver1D : public IntegrationSolver<FunctionRntoR, DomainCartesian, double> {
public:
// Constructor and destructor
IntegrationSolver1D(FunctionRntoR function_, DomainCartesian domain_, Method method_);
virtual ~IntegrationSolver1D();
// Integration methods
double IntegrationMidpoint();
double IntegrationTrapeze();
double IntegrationSimpson();
// Compute method
double Compute();
private:
double a;
double b;
double n;
std::string type;
};
#endif //PROJECT_INTEGRALSOLVER1D_HPP
/*! \class IntegrationSolver1D class.h "inc/class.h"
* \brief Class using the template IntegrationSolver for the specific case of a 1D domain.
*
* It computes the integral of f : R -> R, over the linear domain (a to b) with a regular subdivision of n parts.
*
* It uses the user-specified method of integration, which is either Midpoint, Trapeze or Simpson.
*/
/*! \fn IntegrationSolver1D::IntegrationSolver1D(FunctionRntoR function_,DomainCartesian domain_, Method method_)
* \brief Standard constructor using a specialization of the template one from IntegrationSolver.
* \param function_ is a FunctionRntoR type object containing the function to be integrated
* \param domain_ is a DomainCartesian type object containing the domain of integration
* \param method_ is a Method type object containing the integration method
*/
/*! \fn IntegrationSolver1D::Compute()
* \brief Method that trigger the computing of the integration.
*
* When called, it fills the private variables of boundaries and subdivision for this specific case of 1D domain, and
* returns the result of the integration using the integration method from the class Method.
* \returns a double, which is the result of the integration of f over the domain.
*/
/*! \fn IntegrationSolver1D::IntegrationMidpoint()
* \brief Method that computes the integral using Midpoint method.
*
* Midpoint consists in the discretization of the domain into sub-intervals. The integral is the sum of the function
* evaluated at the center of the sub-intervals multiplied by the interval's length. Result is computed by iterating
* over the sub-intervals.
* \returns a double.
*/
/*! \fn IntegrationSolver1D::IntegrationTrapeze()
* \brief Method that computes the integral using Trapeze method.
*
* Trapeze consists in the discretization of the domain into sub-intervals. The integral is the sum for each sub-interval
* of the mean of the function evaluated at the corner of the sub-interval, multiplied by the sub-interval's length.
* Result is computed by iterating over the sub-intervals.
* \returns a double.
*/
/*! \fn IntegrationSolver1D::IntegrationSimpson()
* \brief Method that computes the integral using Simpson method.
*
* Simpson consists uses a discretization of the domain into sub-intervals. The integral is the sum of an integration over
* each sub-intervals. This integration uses a quadratic approximation on the sub-intervals, using the corners and a
* point at the middle. Values of the integration of a quadratic approximation for a given set of values are known.
* Result is obtained by iterating over the sub-intervals and summing the quadratic integral.
* \returns a double.
*/

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