A spline with X and Y transformed into log space.Most useful for functions looking like y=x^n or any other function with a huge X and Y dynamic range. More...

#include <geant4/tree/geant4-10.6-release/examples/extended/electromagnetic/TestEm7/include/c2_function.hh>

Inheritance diagram for log_log_interpolating_function_p< float_type >:

Collaboration diagram for log_log_interpolating_function_p< float_type >:

Public Member Functions
	log_log_interpolating_function_p ()
	an empty log-log cubic-spline interpolating_function_p

virtual interpolating_function_p < float_type > &	clone () const

Public Member Functions inherited from interpolating_function_p< float_type >
	interpolating_function_p ()
	an empty linear-linear cubic-spline interpolating_function_p

	interpolating_function_p (const c2_function_transformation< float_type > &transform)
	an empty cubic-spline interpolating_function_p with a specific transform

interpolating_function_p < float_type > &	load (const std::vector< float_type > &x, const std::vector< float_type > &f, bool lowerSlopeNatural, float_type lowerSlope, bool upperSlopeNatural, float_type upperSlope, bool splined=true)
	do the dirty work of constructing the spline from a function.

interpolating_function_p < float_type > &	load_pairs (std::vector< std::pair< float_type, float_type > > &data, bool lowerSlopeNatural, float_type lowerSlope, bool upperSlopeNatural, float_type upperSlope, bool splined=true)
	do the dirty work of constructing the spline from a function.

interpolating_function_p < float_type > &	sample_function (const c2_function< float_type > &func, float_type amin, float_type amax, float_type abs_tol, float_type rel_tol, bool lowerSlopeNatural, float_type lowerSlope, bool upperSlopeNatural, float_type upperSlope)
	do the dirty work of constructing the spline from a function.

interpolating_function_p < float_type > &	load_random_generator_function (const std::vector< float_type > &bincenters, const c2_function< float_type > &binheights)
	initialize from a grid of points and a c2_function (un-normalized) to an interpolator which, when evaluated with a uniform random variate on [0,1] returns random numbers distributed as the input function.

interpolating_function_p < float_type > &	load_random_generator_bins (const std::vector< float_type > &bins, const std::vector< float_type > &binheights, bool splined=true)

virtual float_type	value_with_derivatives (float_type x, float_type yprime, float_type yprime2) const
	get the value and derivatives.

virtual	~interpolating_function_p ()
	destructor

void	get_data (std::vector< float_type > &xvals, std::vector< float_type > &yvals) const

void	get_internal_data (std::vector< float_type > &xvals, std::vector< float_type > &yvals, std::vector< float_type > &y2vals) const

void	set_lower_extrapolation (float_type bound)

void	set_upper_extrapolation (float_type bound)

interpolating_function_p < float_type > &	unary_operator (const c2_function< float_type > &source) const

interpolating_function_p < float_type > &	binary_operator (const c2_function< float_type > &rhs, const c2_binary_function< float_type > *combining_stub) const

interpolating_function_p < float_type > &	add_pointwise (const c2_function< float_type > &rhs) const

interpolating_function_p < float_type > &	subtract_pointwise (const c2_function< float_type > &rhs) const

interpolating_function_p < float_type > &	multiply_pointwise (const c2_function< float_type > &rhs) const

interpolating_function_p < float_type > &	divide_pointwise (const c2_function< float_type > &rhs) const

void	clone_data (const interpolating_function_p< float_type > &rhs)

Public Member Functions inherited from c2_function< float_type >
const std::string	cvs_header_vers () const
	get versioning information for the header file

const std::string	cvs_file_vers () const
	get versioning information for the source file

virtual	~c2_function ()
	destructor

float_type	operator() (float_type x) const
	evaluate the function in the classic way, ignoring derivatives.

float_type	operator() (float_type x, float_type yprime, float_type yprime2) const
	get the value and derivatives.

float_type	find_root (float_type lower_bracket, float_type upper_bracket, float_type start, float_type value, int error=0, float_type final_yprime=0, float_type *final_yprime2=0) const
	solve f(x)==value very efficiently, with explicit knowledge of derivatives of the function

float_type	partial_integrals (std::vector< float_type > xgrid, std::vector< float_type > *partials=0, float_type abs_tol=1e-12, float_type rel_tol=1e-12, int derivs=2, bool adapt=true, bool extrapolate=true) const

float_type	integral (float_type amin, float_type amax, std::vector< float_type > *partials=0, float_type abs_tol=1e-12, float_type rel_tol=1e-12, int derivs=2, bool adapt=true, bool extrapolate=true) const
	a fully-automated integrator which uses the information provided by the get_sampling_grid() function to figure out what to do.

c2_piecewise_function_p < float_type > *	adaptively_sample (float_type amin, float_type amax, float_type abs_tol=1e-12, float_type rel_tol=1e-12, int derivs=2, std::vector< float_type > xvals=0, std::vector< float_type > yvals=0) const
	create a c2_piecewise_function_p from c2_connector_function_p segments which is a representation of the parent function to the specified accuracy, but maybe much cheaper to evaluate

float_type	xmin () const

float_type	xmax () const

void	set_domain (float_type amin, float_type amax)

size_t	get_evaluations () const

void	reset_evaluations () const
	reset the counter

void	increment_evaluations () const
	count evaluations

bool	check_monotonicity (const std::vector< float_type > &data, const char message[]) const
	check that a vector is monotonic, throw an exception if not, and return a flag if it is reversed

virtual void	set_sampling_grid (const std::vector< float_type > &grid)
	establish a grid of 'interesting' points on the function.

std::vector< float_type > *	get_sampling_grid_pointer () const
	get the sampling grid, which may be a null pointer

virtual void	get_sampling_grid (float_type amin, float_type amax, std::vector< float_type > &grid) const

void	preen_sampling_grid (std::vector< float_type > *result) const
	The grid is modified in place.

void	refine_sampling_grid (std::vector< float_type > &grid, size_t refinement) const

c2_function< float_type > &	normalized_function (float_type amin, float_type amax, float_type norm=1.0) const
	create a new c2_function from this one which is normalized on the interval

c2_function< float_type > &	square_normalized_function (float_type amin, float_type amax, float_type norm=1.0) const

c2_function< float_type > &	square_normalized_function (float_type amin, float_type amax, const c2_function< float_type > &weight, float_type norm=1.0) const
	create a new c2_function from this one which is square-normalized with the provided weight on the interval

c2_sum_p< float_type > &	operator+ (const c2_function< float_type > &rhs) const
	factory function to create a c2_sum_p from a regular algebraic expression.

c2_diff_p< float_type > &	operator- (const c2_function< float_type > &rhs) const
	factory function to create a c2_diff_p from a regular algebraic expression.

c2_product_p< float_type > &	operator* (const c2_function< float_type > &rhs) const
	factory function to create a c2_product_p from a regular algebraic expression.

c2_ratio_p< float_type > &	operator/ (const c2_function< float_type > &rhs) const

c2_composed_function_p < float_type > &	operator() (const c2_function< float_type > &inner) const
	compose this function outside another.

float_type	get_trouble_point () const
	Find out where a calculation ran into trouble, if it got a nan. If the most recent computation did not return a nan, this is undefined.

void	claim_ownership () const
	increment our reference count. Destruction is only legal if the count is zero.

size_t	release_ownership_for_return () const
	decrement our reference count. Do not destroy at zero.

void	release_ownership () const

size_t	count_owners () const
	get the reference count, mostly for debugging

void	fill_fblock (c2_fblock< float_type > &fb) const
	fill in a c2_fblock<float_type>... a shortcut for the integrator & sampler

Additional Inherited Members
Public Attributes inherited from interpolating_function_p< float_type >
const c2_function_transformation < float_type > &	fTransform

Protected Member Functions inherited from interpolating_function_p< float_type >
void	spline (bool lowerSlopeNatural, float_type lowerSlope, bool upperSlopeNatural, float_type upperSlope)
	create the spline coefficients

Static Protected Member Functions inherited from interpolating_function_p< float_type >
static bool	comp_pair (std::pair< float_type, float_type > const &i, std::pair< float_type, float_type > const &j)

Protected Attributes inherited from interpolating_function_p< float_type >
std::vector< float_type >	Xraw

std::vector< float_type >	X

std::vector< float_type >	F

std::vector< float_type >	y2

c2_const_ptr< float_type >	sampler_function

bool	xInverted

size_t	lastKLow

Detailed Description

template<typename float_type = double>
class log_log_interpolating_function_p< float_type >

A spline with X and Y transformed into log space.

Most useful for functions looking like y=x^n or any other function with a huge X and Y dynamic range.

Definition at line 1763 of file c2_function.hh.

View newest version in sPHENIX GitHub at line 1763 of file c2_function.hh

Constructor & Destructor Documentation

template<typename float_type = double>

log_log_interpolating_function_p< float_type >::log_log_interpolating_function_p ( )

inline

an empty log-log cubic-spline interpolating_function_p

Definition at line 1768 of file c2_function.hh.

View newest version in sPHENIX GitHub at line 1768 of file c2_function.hh

Member Function Documentation

template<typename float_type = double>

virtual interpolating_function_p<float_type>& log_log_interpolating_function_p< float_type >::clone ( ) const

inlinevirtual

Reimplemented from interpolating_function_p< float_type >.

Definition at line 1772 of file c2_function.hh.

View newest version in sPHENIX GitHub at line 1772 of file c2_function.hh

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

geant4/tree/geant4-10.6-release/examples/extended/electromagnetic/TestEm7/include/c2_function.hh

Public Member Functions

Additional Inherited Members

Detailed Description

template<typename float_type = double> class log_log_interpolating_function_p< float_type >

Constructor & Destructor Documentation

Member Function Documentation

template<typename float_type = double>
class log_log_interpolating_function_p< float_type >