chebyshev::prec::estimate_options< R, Args > Class Template Reference

A structure holding the options for precision estimation. More...

#include <prec_structures.h>

Public Types
using	Estimator_t = std::function< estimate_result(std::function< R(Args...)>, std::function< R(Args...)>, estimate_options)>

Public Member Functions
	estimate_options ()
	Construct estimate options with all default values. More...
	estimate_options (interval omega, Estimator_t estimator)
	Construct estimate options from a one-dimensional interval domain and an estimator, with other fields equal to the default values.
	estimate_options (interval omega, Estimator_t estimator, long double tolerance, bool quiet=false)
	Construct estimate options from a one-dimensional interval domain, an estimator, a tolerance and an optional quiet flag, with other fields equal to the default values.
	estimate_options (std::vector< interval > omega, Estimator_t estimator)
	Construct estimate options from a multidimensional interval domain and an estimator, with other fields equal to the default values.
	estimate_options (std::vector< interval > omega, Estimator_t estimator, long double tolerance, bool quiet=false)
	Construct estimate options from a multidimensional interval domain, an estimator, a tolerance and an optional quiet flag, with other fields equal to the default values.

Public Attributes
std::vector< interval >	domain {}
	The domain of estimation.
Estimator_t	estimator
	The precision estimator to use (defaults to a dummy estimator) More...
long double	tolerance = CHEBYSHEV_PREC_TOLERANCE
	The tolerance to use to determine whether the test failed.
unsigned int	iterations = CHEBYSHEV_PREC_ITER
	Number of function evaluations to use.
FailFunction	fail
	The function to determine whether the test failed (defaults to fail::fail_on_max_err). More...
bool	quiet = false
	Whether to show the test result or not.

Detailed Description

template<typename R, typename ... Args>
class chebyshev::prec::estimate_options< R, Args >

A structure holding the options for precision estimation.

Constructor & Destructor Documentation

estimate_options()

template<typename R , typename ... Args>

chebyshev::prec::estimate_options< R, Args >::estimate_options ( )

inline

Construct estimate options with all default values.

Note

The estimator and domain must be set to correctly use the options for test cases.

Member Data Documentation

estimator

template<typename R , typename ... Args>

Estimator_t chebyshev::prec::estimate_options< R, Args >::estimator

Initial value:

= [](
                std::function<R(Args...)> f1,
                std::function<R(Args...)> f2,
                estimate_options opt) {
                return estimate_result();
            }

The precision estimator to use (defaults to a dummy estimator)

fail

template<typename R , typename ... Args>

FailFunction chebyshev::prec::estimate_options< R, Args >::fail

Initial value:

= [](const estimate_result& r) {
                return (r.maxErr > r.tolerance) || (r.maxErr != r.maxErr);
            }

The function to determine whether the test failed (defaults to fail::fail_on_max_err).

---

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

• /home/runner/work/theoretica/theoretica/test/chebyshev/src/prec/prec_structures.h