Automatic Differentiation
 
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integrate_1d_double_exponential.hpp File Reference
#include <stan/math/prim/meta.hpp>
#include <stan/math/prim/err.hpp>
#include <stan/math/prim/fun/constants.hpp>
#include <stan/math/prim/functor/integrate_1d_adapter.hpp>
#include <boost/math/quadrature/exp_sinh.hpp>
#include <boost/math/quadrature/sinh_sinh.hpp>
#include <boost/math/quadrature/tanh_sinh.hpp>
#include <algorithm>
#include <cmath>
#include <cstddef>
#include <ostream>

Go to the source code of this file.

Namespaces

namespace  stan
 The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation from C or the boost::math::lgamma implementation.
 
namespace  stan::math
 Matrices and templated mathematical functions.
 

Functions

template<typename F >
double stan::math::integrate_de (const F &f, double a, double b, double relative_tolerance, double absolute_tolerance, int max_refinements)
 Integrate a single variable function f from a to b using Boost's adaptive double-exponential quadrature, with QUADPACK-style mixed convergence criterion.
 
template<typename F , typename... Args, require_all_st_arithmetic< Args... > * = nullptr>
double stan::math::integrate_1d_double_exponential_tol (const F &f, double a, double b, double relative_tolerance, double absolute_tolerance, int max_refinements, std::ostream *msgs, const Args &... args)
 Compute the integral of the single variable function f from a to b using adaptive double-exponential quadrature.
 
template<typename F , typename... Args, require_all_st_arithmetic< Args... > * = nullptr>
double stan::math::integrate_1d_double_exponential (const F &f, double a, double b, std::ostream *msgs, const Args &... args)
 Compute the integral of the single variable function f from a to b using adaptive double-exponential quadrature.
 

Variables

constexpr int stan::math::INTEGRATE_1D_DOUBLE_EXPONENTIAL_MAX_REFINEMENTS = 15
 Default maximum refinement count used by integrate_1d_double_exponential when the user does not pass one explicitly.