gfit.cc File Reference

#include <madness/tensor/tensor_lapack.h>
#include <madness/tensor/solvers.h>
#include <madness/world/print.h>
#include <cmath>
#include <iostream>
#include <algorithm>

Include dependency graph for gfit.cc:

Classes
class	Fred
	Wrapper around vector demonstrating interface necessary. More...

Functions
double	Akernel (double p)
Tensor< double >	arithmetic_series (long n, double a, double h)
double	E0 (double p)
double	errsq (const Tensor< double > f, const Tensor< double > x, const Tensor< double > w, const Tensor< double > c, const Tensor< double > expnt, const double mu, const double p)
double	fit (double x, const Tensor< double > &c, const Tensor< double > &expnt)
Tensor< double >	geometric_series (long n, double a, double r)
int	main ()
Tensor< double >	map_tensor (double(*f)(double), const Tensor< double > &x)
double	myexp (double x)
Tensor< double >	optimize_coeffs (const Tensor< double > &f, const Tensor< double > &x, const Tensor< double > &w, const Tensor< double > &expnt, const double mu, const double p, const bool prnt=0)
double	reciprocal (double x)
double	square (double x)

Variables
const double	c = 137.0359895
const double	m = 1
const double	mc2 = m*c*c

Function Documentation

Akernel()

double Akernel

(

double

p

)

References E0(), mc2, and p().

Referenced by main().

arithmetic_series()

Tensor< double > arithmetic_series	(	long	n,
		double	a,
		double	h
	)

References a, h(), and q().

E0()

double E0

(

double

p

)

References c, mc2, and p().

Referenced by Akernel().

errsq()

double errsq	(	const Tensor< double >	f,
		const Tensor< double >	x,
		const Tensor< double >	w,
		const Tensor< double >	c,
		const Tensor< double >	expnt,
		const double	mu,
		const double	p
	)

References c, madness::f, fit(), mu, p(), pow(), madness::BaseTensor::size(), sum, and w().

Referenced by Fred::gradient(), main(), test_math(), Fred::value(), and Fred::value_and_gradient().

fit()

double fit	(	double	x,
		const Tensor< double > &	c,
		const Tensor< double > &	expnt
	)

References c, myexp(), madness::BaseTensor::size(), and sum.

Referenced by errsq(), and main().

geometric_series()

Tensor< double > geometric_series	(	long	n,
		double	a,
		double	r
	)

References a, and q().

Referenced by main().

main()

int main

(

void

)

References madness::abs(), Akernel(), c, e(), errsq(), madness::f, fit(), geometric_series(), h(), map_tensor(), max, mu, opt(), optimize_coeffs(), p(), pow(), madness::print(), madness::Tensor< T >::ptr(), reciprocal(), madness::BaseTensor::size(), and w().

map_tensor()

Tensor< double > map_tensor	(	double(*)(double)	f,
		const Tensor< double > &	x
	)

References madness::copy(), madness::f, and madness::Tensor< T >::unaryop().

Referenced by main().

myexp()

double myexp

(

double

x

)

Referenced by fit(), Fred::make_g(), and optimize_coeffs().

optimize_coeffs()

Tensor< double > optimize_coeffs	(	const Tensor< double > &	f,
		const Tensor< double > &	x,
		const Tensor< double > &	w,
		const Tensor< double > &	expnt,
		const double	mu,
		const double	p,
		const bool	prnt = 0
	)

References b, c, e(), madness::f, madness::gelss(), mu, myexp(), p(), pow(), madness::BaseTensor::size(), and w().

Referenced by main(), and Fred::value_and_gradient().

reciprocal()

double reciprocal

(

double

x

)

Referenced by main().

square()

double square

(

double

x

)

Variable Documentation

c

const double c = 137.0359895

Referenced by E0(), errsq(), fit(), main(), and optimize_coeffs().

m

const double m = 1

mc2

const double mc2 = m*c*c

Referenced by Akernel(), and E0().