/dports/devel/boost-docs/boost_1_72_0/libs/math/test/ |
H A D | test_numerical_differentiation.cpp | 44 Real error_estimate; in test_order() local 50 if (error > 2*error_estimate) in test_order() 98 Real error_estimate = 4*abs(f(x))*sqrt(eps); in test_bessel() local 105 BOOST_CHECK_CLOSE_FRACTION(expected, computed, 10*error_estimate); in test_bessel() 116 BOOST_CHECK_CLOSE_FRACTION(expected, computed, 50*error_estimate); in test_bessel() 120 error_estimate = abs(f(x))*pow(eps, (Real) 4 / (Real) 5); in test_bessel() 127 BOOST_CHECK_CLOSE_FRACTION(expected, computed, 25*error_estimate); in test_bessel() 132 error_estimate = abs(f(x))*pow(eps, (Real) 6/ (Real) 7); in test_bessel() 139 BOOST_CHECK_CLOSE_FRACTION(expected, computed, 100*error_estimate); in test_bessel() 143 error_estimate = abs(f(x))*pow(eps, (Real) 8/ (Real) 9); in test_bessel() [all …]
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/dports/devel/boost-python-libs/boost_1_72_0/libs/math/test/ |
H A D | test_numerical_differentiation.cpp | 44 Real error_estimate; in test_order() local 50 if (error > 2*error_estimate) in test_order() 98 Real error_estimate = 4*abs(f(x))*sqrt(eps); in test_bessel() local 105 BOOST_CHECK_CLOSE_FRACTION(expected, computed, 10*error_estimate); in test_bessel() 116 BOOST_CHECK_CLOSE_FRACTION(expected, computed, 50*error_estimate); in test_bessel() 120 error_estimate = abs(f(x))*pow(eps, (Real) 4 / (Real) 5); in test_bessel() 127 BOOST_CHECK_CLOSE_FRACTION(expected, computed, 25*error_estimate); in test_bessel() 132 error_estimate = abs(f(x))*pow(eps, (Real) 6/ (Real) 7); in test_bessel() 139 BOOST_CHECK_CLOSE_FRACTION(expected, computed, 100*error_estimate); in test_bessel() 143 error_estimate = abs(f(x))*pow(eps, (Real) 8/ (Real) 9); in test_bessel() [all …]
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/dports/devel/boost-libs/boost_1_72_0/libs/math/test/ |
H A D | test_numerical_differentiation.cpp | 44 Real error_estimate; in test_order() local 50 if (error > 2*error_estimate) in test_order() 98 Real error_estimate = 4*abs(f(x))*sqrt(eps); in test_bessel() local 105 BOOST_CHECK_CLOSE_FRACTION(expected, computed, 10*error_estimate); in test_bessel() 116 BOOST_CHECK_CLOSE_FRACTION(expected, computed, 50*error_estimate); in test_bessel() 120 error_estimate = abs(f(x))*pow(eps, (Real) 4 / (Real) 5); in test_bessel() 127 BOOST_CHECK_CLOSE_FRACTION(expected, computed, 25*error_estimate); in test_bessel() 132 error_estimate = abs(f(x))*pow(eps, (Real) 6/ (Real) 7); in test_bessel() 139 BOOST_CHECK_CLOSE_FRACTION(expected, computed, 100*error_estimate); in test_bessel() 143 error_estimate = abs(f(x))*pow(eps, (Real) 8/ (Real) 9); in test_bessel() [all …]
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/dports/devel/hyperscan/boost_1_75_0/libs/math/test/ |
H A D | test_numerical_differentiation.cpp | 44 Real error_estimate; in test_order() local 50 if (error > 2*error_estimate) in test_order() 98 Real error_estimate = 4*abs(f(x))*sqrt(eps); in test_bessel() local 105 BOOST_CHECK_CLOSE_FRACTION(expected, computed, 10*error_estimate); in test_bessel() 116 BOOST_CHECK_CLOSE_FRACTION(expected, computed, 50*error_estimate); in test_bessel() 120 error_estimate = abs(f(x))*pow(eps, (Real) 4 / (Real) 5); in test_bessel() 127 BOOST_CHECK_CLOSE_FRACTION(expected, computed, 25*error_estimate); in test_bessel() 132 error_estimate = abs(f(x))*pow(eps, (Real) 6/ (Real) 7); in test_bessel() 139 BOOST_CHECK_CLOSE_FRACTION(expected, computed, 100*error_estimate); in test_bessel() 143 error_estimate = abs(f(x))*pow(eps, (Real) 8/ (Real) 9); in test_bessel() [all …]
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H A D | daubechies_wavelet_test.cpp | 52 Real error_estimate = std::numeric_limits<Real>::quiet_NaN(); in test_quadratures() local 58 Real Q = trapezoidal(psi, a, b, tol, 15, &error_estimate, &L1); in test_quadratures() 62 std::cerr << " Error estimate: " << error_estimate << ", L1 norm: " << L1 << "\n"; in test_quadratures() 68 Q = trapezoidal(psi_sq, a, b, tol, 15, &error_estimate, &L1); in test_quadratures() 73 std::cerr << " Error estimate: " << error_estimate << ", L1 norm: " << L1 << "\n"; in test_quadratures()
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/dports/devel/hyperscan/boost_1_75_0/boost/math/quadrature/ |
H A D | trapezoidal.hpp | 29 auto trapezoidal(F f, Real a, Real b, Real tol, std::size_t max_refinements, Real* error_estimate, … in trapezoidal() argument 52 return -trapezoidal(f, b, a, tol, max_refinements, error_estimate, L1, pol); in trapezoidal() 102 if (error_estimate) in trapezoidal() 104 *error_estimate = error; in trapezoidal() 117 …eal a, Real b, Real tol = 0, std::size_t max_refinements = 12, Real* error_estimate = 0, Real* L1 … in trapezoidal() argument 120 …tools::root_epsilon<Real>(), std::size_t max_refinements = 12, Real* error_estimate = nullptr, Rea… in trapezoidal() 123 …tools::root_epsilon<Real>(), std::size_t max_refinements = 12, Real* error_estimate = 0, Real* L1 … in trapezoidal() 130 …return trapezoidal(f, a, b, tol, max_refinements, error_estimate, L1, boost::math::policies::polic… in trapezoidal()
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/dports/math/stanmath/math-4.2.0/lib/boost_1.75.0/boost/math/quadrature/ |
H A D | trapezoidal.hpp | 29 auto trapezoidal(F f, Real a, Real b, Real tol, std::size_t max_refinements, Real* error_estimate, … in trapezoidal() argument 52 return -trapezoidal(f, b, a, tol, max_refinements, error_estimate, L1, pol); in trapezoidal() 102 if (error_estimate) in trapezoidal() 104 *error_estimate = error; in trapezoidal() 117 …eal a, Real b, Real tol = 0, std::size_t max_refinements = 12, Real* error_estimate = 0, Real* L1 … in trapezoidal() argument 120 …tools::root_epsilon<Real>(), std::size_t max_refinements = 12, Real* error_estimate = nullptr, Rea… in trapezoidal() 123 …tools::root_epsilon<Real>(), std::size_t max_refinements = 12, Real* error_estimate = 0, Real* L1 … in trapezoidal() 130 …return trapezoidal(f, a, b, tol, max_refinements, error_estimate, L1, boost::math::policies::polic… in trapezoidal()
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/dports/science/py-scipy/scipy-1.7.1/scipy/_lib/boost/boost/math/quadrature/ |
H A D | trapezoidal.hpp | 29 auto trapezoidal(F f, Real a, Real b, Real tol, std::size_t max_refinements, Real* error_estimate, … in trapezoidal() argument 52 return -trapezoidal(f, b, a, tol, max_refinements, error_estimate, L1, pol); in trapezoidal() 102 if (error_estimate) in trapezoidal() 104 *error_estimate = error; in trapezoidal() 117 …eal a, Real b, Real tol = 0, std::size_t max_refinements = 12, Real* error_estimate = 0, Real* L1 … in trapezoidal() argument 120 …tools::root_epsilon<Real>(), std::size_t max_refinements = 12, Real* error_estimate = nullptr, Rea… in trapezoidal() 123 …tools::root_epsilon<Real>(), std::size_t max_refinements = 12, Real* error_estimate = 0, Real* L1 … in trapezoidal() 130 …return trapezoidal(f, a, b, tol, max_refinements, error_estimate, L1, boost::math::policies::polic… in trapezoidal()
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/dports/devel/boost-docs/boost_1_72_0/boost/math/quadrature/ |
H A D | trapezoidal.hpp | 28 auto trapezoidal(F f, Real a, Real b, Real tol, std::size_t max_refinements, Real* error_estimate, … in trapezoidal() argument 93 if (error_estimate) in trapezoidal() 95 *error_estimate = error; in trapezoidal() 108 …eal a, Real b, Real tol = 0, std::size_t max_refinements = 12, Real* error_estimate = 0, Real* L1 … in trapezoidal() argument 111 …tools::root_epsilon<Real>(), std::size_t max_refinements = 12, Real* error_estimate = nullptr, Rea… in trapezoidal() 114 …tools::root_epsilon<Real>(), std::size_t max_refinements = 12, Real* error_estimate = 0, Real* L1 … in trapezoidal() 121 …return trapezoidal(f, a, b, tol, max_refinements, error_estimate, L1, boost::math::policies::polic… in trapezoidal()
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/dports/math/deal.ii/dealii-803d21ff957e349b3799cd3ef2c840bc78734305/bundled/boost-1.70.0/include/boost/math/quadrature/ |
H A D | trapezoidal.hpp | 28 auto trapezoidal(F f, Real a, Real b, Real tol, std::size_t max_refinements, Real* error_estimate, … in trapezoidal() argument 93 if (error_estimate) in trapezoidal() 95 *error_estimate = error; in trapezoidal() 108 …eal a, Real b, Real tol = 0, std::size_t max_refinements = 12, Real* error_estimate = 0, Real* L1 … in trapezoidal() argument 111 …tools::root_epsilon<Real>(), std::size_t max_refinements = 12, Real* error_estimate = nullptr, Rea… in trapezoidal() 114 …tools::root_epsilon<Real>(), std::size_t max_refinements = 12, Real* error_estimate = 0, Real* L1 … in trapezoidal() 121 …return trapezoidal(f, a, b, tol, max_refinements, error_estimate, L1, boost::math::policies::polic… in trapezoidal()
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/dports/devel/boost-libs/boost_1_72_0/boost/math/quadrature/ |
H A D | trapezoidal.hpp | 28 auto trapezoidal(F f, Real a, Real b, Real tol, std::size_t max_refinements, Real* error_estimate, … in trapezoidal() argument 93 if (error_estimate) in trapezoidal() 95 *error_estimate = error; in trapezoidal() 108 …eal a, Real b, Real tol = 0, std::size_t max_refinements = 12, Real* error_estimate = 0, Real* L1 … in trapezoidal() argument 111 …tools::root_epsilon<Real>(), std::size_t max_refinements = 12, Real* error_estimate = nullptr, Rea… in trapezoidal() 114 …tools::root_epsilon<Real>(), std::size_t max_refinements = 12, Real* error_estimate = 0, Real* L1 … in trapezoidal() 121 …return trapezoidal(f, a, b, tol, max_refinements, error_estimate, L1, boost::math::policies::polic… in trapezoidal()
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/dports/devel/boost-python-libs/boost_1_72_0/boost/math/quadrature/ |
H A D | trapezoidal.hpp | 28 auto trapezoidal(F f, Real a, Real b, Real tol, std::size_t max_refinements, Real* error_estimate, … in trapezoidal() argument 93 if (error_estimate) in trapezoidal() 95 *error_estimate = error; in trapezoidal() 108 …eal a, Real b, Real tol = 0, std::size_t max_refinements = 12, Real* error_estimate = 0, Real* L1 … in trapezoidal() argument 111 …tools::root_epsilon<Real>(), std::size_t max_refinements = 12, Real* error_estimate = nullptr, Rea… in trapezoidal() 114 …tools::root_epsilon<Real>(), std::size_t max_refinements = 12, Real* error_estimate = 0, Real* L1 … in trapezoidal() 121 …return trapezoidal(f, a, b, tol, max_refinements, error_estimate, L1, boost::math::policies::polic… in trapezoidal()
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/dports/math/py-pystan/pystan-2.19.0.0/pystan/stan/lib/stan_math/lib/boost_1.69.0/boost/math/quadrature/ |
H A D | trapezoidal.hpp | 28 auto trapezoidal(F f, Real a, Real b, Real tol, std::size_t max_refinements, Real* error_estimate, … in trapezoidal() argument 93 if (error_estimate) in trapezoidal() 95 *error_estimate = error; in trapezoidal() 108 …eal a, Real b, Real tol = 0, std::size_t max_refinements = 12, Real* error_estimate = 0, Real* L1 … in trapezoidal() argument 111 …tools::root_epsilon<Real>(), std::size_t max_refinements = 12, Real* error_estimate = nullptr, Rea… in trapezoidal() 114 …tools::root_epsilon<Real>(), std::size_t max_refinements = 12, Real* error_estimate = 0, Real* L1 … in trapezoidal() 121 …return trapezoidal(f, a, b, tol, max_refinements, error_estimate, L1, boost::math::policies::polic… in trapezoidal()
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/dports/devel/R-cran-BH/BH/inst/include/boost/math/quadrature/ |
H A D | trapezoidal.hpp | 30 auto trapezoidal(F f, Real a, Real b, Real tol, std::size_t max_refinements, Real* error_estimate, … in trapezoidal() argument 55 return -trapezoidal(f, b, a, tol, max_refinements, error_estimate, L1, pol); in trapezoidal() 105 if (error_estimate) in trapezoidal() 107 *error_estimate = error; in trapezoidal() 119 …tools::root_epsilon<Real>(), std::size_t max_refinements = 12, Real* error_estimate = nullptr, Rea… in trapezoidal() argument 121 …return trapezoidal(f, a, b, tol, max_refinements, error_estimate, L1, boost::math::policies::polic… in trapezoidal()
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/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/tsa/ |
H A D | arma_mle.py | 244 self.error_estimate = self.geterrors(rh) 284 self.error_estimate = self.geterrors(rh) 299 return self.endog - self.error_estimate 307 eta = np.r_[self.error_estimate, np.zeros(nperiod)] 339 errors = self.error_estimate 363 errors = self.error_estimate
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/dports/graphics/pcl-pointclouds/pcl-pcl-1.12.0/surface/src/3rdparty/opennurbs/ |
H A D | opennurbs_sum.cpp | 152 double ON_Sum::Total( double* error_estimate ) in Total() argument 191 if ( error_estimate ) in Total() 193 *error_estimate = m_sum_err + ON_EPSILON*(fabs(m_pos_sum) + fabs(m_neg_sum)); in Total()
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/dports/math/gismo/gismo-21.12.0/external/onurbs/ |
H A D | opennurbs_sum.cpp | 159 double ON_Sum::Total( double* error_estimate ) in Total() argument 198 if ( error_estimate ) in Total() 200 *error_estimate = m_sum_err + ON_EPSILON*(fabs(m_pos_sum) + fabs(m_neg_sum)); in Total()
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/dports/science/quantum-espresso/q-e-qe-6.7.0/PW/src/ |
H A D | init_us_b0.f90 | 49 REAL(DP) :: test, safe_test, error_estimate, missing_norm local 147 nf = 20 ; af = 1.125D0 * ( 2 * nf + 1) ; error_estimate= missing_norm * filter(1.d0,af,nf)**2 148 do while ( error_estimate < eps .and. nf > 0) 149 … nf = nf - 1 ; af = 1.125D0 * ( 2 * nf + 1) ; error_estimate = missing_norm * filter(1.d0,af,nf)**2 151 …nf = min(nf+1,20) ; af = 1.125D0 * ( 2 * nf + 1); error_estimate = missing_norm * filter(1.d0,af,… 152 …WRITE ( stdout, '(5x,"Smoothing truncation error estimate in Q",1pe12.4," < eps")' ) error_estimate 153 … IF (error_estimate > eps ) CALL errore( 'init_us_b0','R and Q norms of beta are too different',nt)
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/dports/science/py-scipy/scipy-1.7.1/scipy/integrate/_ivp/tests/ |
H A D | test_rk.py | 26 error_estimate = solver._estimate_error(solver.K, step) 28 assert_(np.abs(error) < np.abs(error_estimate))
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/dports/math/alberta/alberta3-920315ae1bbfd1b1fb6672d916619ac37a411e95/add_ons/albertasystems/Heat/Common/ |
H A D | demoheat.c | 118 (const_fe_space->bas_fcts->get_real_vec)(el, error_estimate, &err_est); in get_el_est() 132 return(&error_estimate->vec[*dof]); in rw_el_est() 630 error_estimate = get_dof_real_vec("error_estimate", const_fe_space); in main() 631 error_estimate->refine_interpol = nil; in main() 632 error_estimate->coarse_restrict = nil; in main() 633 dof_set(0.0, error_estimate); /* initialize u_h ! */ in main()
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/dports/science/cp2k/cp2k-2e995eec7fd208c8a72d9544807bd8b8ba8cd1cc/src/ |
H A D | preconditioner_makes.F | 387 REAL(KIND=dp) :: error_estimate, lambda local 451 error_estimate = MAXVAL(SQRT(ABS(diag - c0_evals**2))) 459 preconditioner_env%energy_gap = MAX(energy_gap, error_estimate*fudge_factor) 476 lambda = lambda_base + error_estimate 557 REAL(KIND=dp) :: error_estimate, lambda local 599 error_estimate = MAXVAL(SQRT(ABS(diag - c0_evals**2))) 606 preconditioner_env%energy_gap = MAX(energy_gap, error_estimate*fudge_factor) 624 lambda = lambda_base + error_estimate
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/dports/science/cp2k-data/cp2k-7.1.0/src/ |
H A D | preconditioner_makes.F | 387 REAL(KIND=dp) :: error_estimate, lambda local 451 error_estimate = MAXVAL(SQRT(ABS(diag - c0_evals**2))) 459 preconditioner_env%energy_gap = MAX(energy_gap, error_estimate*fudge_factor) 476 lambda = lambda_base + error_estimate 557 REAL(KIND=dp) :: error_estimate, lambda local 599 error_estimate = MAXVAL(SQRT(ABS(diag - c0_evals**2))) 606 preconditioner_env%energy_gap = MAX(energy_gap, error_estimate*fudge_factor) 624 lambda = lambda_base + error_estimate
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/dports/devel/boost-python-libs/boost_1_72_0/libs/math/example/ |
H A D | naive_monte_carlo_example.cpp | 25 double error_estimate, in display_progress() argument 42 << error_estimate in display_progress()
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/dports/devel/boost-docs/boost_1_72_0/libs/math/example/ |
H A D | naive_monte_carlo_example.cpp | 25 double error_estimate, in display_progress() argument 42 << error_estimate in display_progress()
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/dports/devel/boost-libs/boost_1_72_0/libs/math/example/ |
H A D | naive_monte_carlo_example.cpp | 25 double error_estimate, in display_progress() argument 42 << error_estimate in display_progress()
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