NumA::Newton Class Reference

The code supports on the example of the python library : scipy. More...

Public Member Functions
template<class OBJ , typename FUNC , typename DERIV >
double	solve (OBJ *object, FUNC function, std::vector< double > &funcParameters, double x0, DERIV derivative=0, const double absTolerance=1.48e-8, const size_t maxIteration=50)

Detailed Description

The code supports on the example of the python library : scipy.

Find a zero using the Newton-Raphson or secant method.

Find a zero of the function func given a nearby starting point x0. The Newton-Raphson method is used if the derivative fprime of func is provided, otherwise the secant method is used.

Member Function Documentation

solve()

template<class OBJ , typename FUNC , typename DERIV >

double NumA::Newton::solve ( OBJ *  object, FUNC  function, std::vector< double > &  funcParameters, double  x0, DERIV  derivative = 0, const double  absTolerance = 1.48e-8, const size_t  maxIteration = 50  )

inline

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

• include/NumA/root_finding/Newton.h