/dports/misc/libemos/libemos-4.5.9-Source/tables/interpol/ |
H A D | 0-INDEX-0 | 4 LSM_GG_0048 LSM for reduced Gaussian N48 6 LSM_GG_0080 LSM for reduced Gaussian N80 8 LSM_GG_0096 LSM for reduced Gaussian N96 10 LSM_GG_0128 LSM for reduced Gaussian N128 12 LSM_GG_0160 LSM for reduced Gaussian N160 14 LSM_GG_0200 LSM for reduced Gaussian N200 16 LSM_GG_0256 LSM for reduced Gaussian N256 18 LSM_GG_0320 LSM for reduced Gaussian N320 20 LSM_GG_0400 LSM for reduced Gaussian N400 22 LSM_GG_0512 LSM for reduced Gaussian N512 [all …]
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/dports/devel/fuzzylite/fuzzylite-6.0/fuzzylite/src/term/ |
H A D | Gaussian.cpp | 21 Gaussian::Gaussian(const std::string& name, in Gaussian() function in fl::Gaussian 25 Gaussian::~Gaussian() { } in ~Gaussian() 27 std::string Gaussian::className() const { in className() 31 Complexity Gaussian::complexity() const { in complexity() 40 std::string Gaussian::parameters() const { in parameters() 61 void Gaussian::setMean(scalar mean) { in setMean() 65 scalar Gaussian::getMean() const { in getMean() 77 Gaussian* Gaussian::clone() const { in clone() 78 return new Gaussian(*this); in clone() 81 Term* Gaussian::constructor() { in constructor() [all …]
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/dports/math/apache-commons-math/commons-math3-3.6.1-src/src/test/java/org/apache/commons/math3/analysis/function/ |
H A D | GaussianTest.java | 74 final Gaussian f = new Gaussian(0, 1e-50); in testDerivativeLargeArguments() 88 final Gaussian f = new Gaussian(0, 1e-50); in testDerivativesNaN() 97 final Gaussian.Parametric g = new Gaussian.Parametric(); in testParametricUsage1() 103 final Gaussian.Parametric g = new Gaussian.Parametric(); in testParametricUsage2() 109 final Gaussian.Parametric g = new Gaussian.Parametric(); in testParametricUsage3() 115 final Gaussian.Parametric g = new Gaussian.Parametric(); in testParametricUsage4() 121 final Gaussian.Parametric g = new Gaussian.Parametric(); in testParametricUsage5() 127 final Gaussian.Parametric g = new Gaussian.Parametric(); in testParametricUsage6() 136 final Gaussian f = new Gaussian(norm, mean, sigma); in testParametricValue() 138 final Gaussian.Parametric g = new Gaussian.Parametric(); in testParametricValue() [all …]
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/dports/science/clhep/2.4.1.0/CLHEP/GenericFunctions/src/ |
H A D | Gaussian.cc | 16 FUNCTION_OBJECT_IMP(Gaussian) in FUNCTION_OBJECT_IMP() argument 18 Gaussian::Gaussian(): in FUNCTION_OBJECT_IMP() 23 Gaussian::~Gaussian() { in ~Gaussian() 26 Gaussian::Gaussian(const Gaussian & right): in Gaussian() function in Genfun::Gaussian 33 double Gaussian::operator() (double x) const { in operator ()() 40 Parameter & Gaussian::mean() { in mean() 44 Parameter & Gaussian::sigma() { in sigma() 48 const Parameter & Gaussian::mean() const { in mean() 52 const Parameter & Gaussian::sigma() const { in sigma() 67 Derivative Gaussian::partial(unsigned int index) const { in partial()
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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/muq2/modules/Modeling/src/Distributions/ |
H A D | Gaussian.cpp | 8 Gaussian::Gaussian(unsigned int dim, in Gaussian() function in Gaussian 17 Gaussian::Gaussian(Eigen::VectorXd const& muIn, in Gaussian() function in Gaussian 27 Gaussian::Gaussian(Eigen::VectorXd const& muIn, in Gaussian() function in Gaussian 54 Gaussian::Mode Gaussian::ModeFromExtras(InputMask extraInputs) in ModeFromExtras() 57 return Gaussian::Mode::Covariance; in ModeFromExtras() 59 return Gaussian::Mode::Precision; in ModeFromExtras() 124 void Gaussian::ComputeNormalization() { in ComputeNormalization() 172 mode = Gaussian::Mode::Covariance; in SetCovariance() 188 mode = Gaussian::Mode::Precision; in SetPrecision() 220 if(mode==Gaussian::Mode::Precision){ in ApplyPrecSqrt() [all …]
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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/muq2/modules/Modeling/python/ |
H A D | DistributionWrapper.cpp | 137 py::class_<Gaussian, GaussianBase, std::shared_ptr<Gaussian>> gauss(m,"Gaussian"); in DistributionWrapper() 145 ….def(py::init<Eigen::VectorXd const&, Eigen::MatrixXd const&, Gaussian::Mode, Gaussian::InputMask>… in DistributionWrapper() 146 .def("GetMode", &Gaussian::GetMode) in DistributionWrapper() 147 .def("GetCovariance", &Gaussian::GetCovariance) in DistributionWrapper() 148 .def("GetPrecision", &Gaussian::GetPrecision) in DistributionWrapper() 151 .def("ApplyCovSqrt", &Gaussian::ApplyCovSqrt) in DistributionWrapper() 152 .def("ApplyPrecSqrt", &Gaussian::ApplyPrecSqrt) in DistributionWrapper() 153 .def("SetCovariance", &Gaussian::SetCovariance) in DistributionWrapper() 154 .def("SetPrecision", &Gaussian::SetPrecision) in DistributionWrapper() 155 .def("Condition", &Gaussian::Condition); in DistributionWrapper() [all …]
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/dports/science/qmcpack/qmcpack-3.11.0/tests/molecules/LiH_pp/qmc_ref/ |
H A D | vmc_hf_sdj_xml.output | 58 Gaussian exponent = 1.86599 60 Gaussian exponent = 0.725995 62 Gaussian exponent = 0.309251 64 Gaussian exponent = 0.110313 73 Gaussian exponent = 1.86599 89 Gaussian exponent = 1.86599 127 Gaussian exponent = 1.534 129 Gaussian exponent = 0.2749 143 Gaussian exponent = 0.0205 244 Gaussian exponent = 2.292 [all …]
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H A D | vmc_hf_sdj_hdf5.output | 59 Gaussian exponent = 1.86599 61 Gaussian exponent = 0.725995 63 Gaussian exponent = 0.309251 65 Gaussian exponent = 0.110313 74 Gaussian exponent = 1.86599 90 Gaussian exponent = 1.86599 128 Gaussian exponent = 1.534 130 Gaussian exponent = 0.2749 144 Gaussian exponent = 0.0205 246 Gaussian exponent = 2.292 [all …]
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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/muq2/MUQ/Modeling/Distributions/ |
H A D | Gaussian.h | 14 class Gaussian : public GaussianBase { 37 Gaussian(unsigned int dim, 44 Gaussian(Eigen::VectorXd const& mu, 53 Gaussian(Eigen::VectorXd const& mu, 55 Gaussian::Mode mode = Gaussian::Mode::Covariance, 59 virtual ~Gaussian() = default; 88 Gaussian::InputMask GetInputTypes() const{return inputTypes;}; in GetInputTypes() 91 std::shared_ptr<Gaussian> Condition(Eigen::MatrixXd const& obsMat, 109 static Gaussian::Mode ModeFromExtras(InputMask extraInputs); 113 Gaussian::Mode mode; [all …]
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/dports/science/clhep/2.4.1.0/CLHEP/GenericFunctions/GenericFunctions/ |
H A D | Gaussian.hh | 20 class Gaussian : public AbsFunction { class 22 FUNCTION_OBJECT_DEF(Gaussian) 27 Gaussian(); 30 Gaussian(const Gaussian &right); 33 virtual ~Gaussian(); 57 const Gaussian & operator=(const Gaussian &right);
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/dports/science/simbody/simbody-Simbody-3.7/SimTKcommon/Random/src/ |
H A D | Random.cpp | 129 class Random::Gaussian::GaussianImpl : public Random::RandomImpl { 249 Random::Gaussian::Gaussian() { in Gaussian() function in SimTK::Random::Gaussian 250 impl = new Random::Gaussian::GaussianImpl(0.0, 1.0); in Gaussian() 253 Random::Gaussian::Gaussian(Real mean, Real stddev) { in Gaussian() function in SimTK::Random::Gaussian 254 impl = new Random::Gaussian::GaussianImpl(mean, stddev); in Gaussian() 257 Random::Gaussian::GaussianImpl& Random::Gaussian::getImpl() { in getImpl() 262 const Random::Gaussian::GaussianImpl& Random::Gaussian::getConstImpl() const { in getConstImpl() 267 Real Random::Gaussian::getMean() const { in getMean() 271 void Random::Gaussian::setMean(Real mean) { in setMean() 275 Real Random::Gaussian::getStdDev() const { in getStdDev() [all …]
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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/muq2/modules/Modeling/test/DistributionsTests/ |
H A D | GaussianDistributionTests.cpp | 17 auto standard1D = std::make_shared<Gaussian>(1); in TEST() 20 auto standard = std::make_shared<Gaussian>(mu); in TEST() 51 auto standard = std::make_shared<Gaussian>(1, Gaussian::Mean); in TEST() 77 standard = std::make_shared<Gaussian>(1, Gaussian::Mean | Gaussian::FullCovariance); in TEST() 107 auto covDist = std::make_shared<Gaussian>(mu, cov); in TEST() 108 auto precDist = std::make_shared<Gaussian>(mu, prec, Gaussian::Mode::Precision); in TEST() 137 …auto dens = std::make_shared<Gaussian>(dim, Gaussian::Mean | Gaussian::FullCovariance)->AsDensity(… in TEST() 178 auto diagCov = std::make_shared<Gaussian>(mu, covDiag, Gaussian::Mode::Covariance); in TEST() 179 auto diagPrec = std::make_shared<Gaussian>(mu, precDiag, Gaussian::Mode::Precision); in TEST() 227 auto covDist = std::make_shared<Gaussian>(mu, cov, Gaussian::Mode::Covariance); in TEST() [all …]
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/dports/science/simbody/simbody-Simbody-3.7/SimTKcommon/Random/include/SimTKcommon/internal/ |
H A D | Random.h | 57 class Gaussian; variable 141 class SimTK_SimTKCOMMON_EXPORT Random::Gaussian : public Random { 147 Gaussian(); 151 Gaussian(Real mean, Real stddev); 173 Gaussian(const Gaussian& r); 174 Gaussian operator=(const Gaussian& r);
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/dports/science/quantum-espresso/q-e-qe-6.7.0/PHonon/examples/Recover_example/reference_1/elph_dir/ |
H A D | elph.inp_lambda.1 | 3 Gaussian Broadening: 0.005 Ry, ngauss= 0 8 Gaussian Broadening: 0.010 Ry, ngauss= 0 13 Gaussian Broadening: 0.015 Ry, ngauss= 0 18 Gaussian Broadening: 0.020 Ry, ngauss= 0 23 Gaussian Broadening: 0.025 Ry, ngauss= 0 28 Gaussian Broadening: 0.030 Ry, ngauss= 0 33 Gaussian Broadening: 0.035 Ry, ngauss= 0 38 Gaussian Broadening: 0.040 Ry, ngauss= 0 43 Gaussian Broadening: 0.045 Ry, ngauss= 0 48 Gaussian Broadening: 0.050 Ry, ngauss= 0
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H A D | elph.inp_lambda.3 | 3 Gaussian Broadening: 0.005 Ry, ngauss= 0 8 Gaussian Broadening: 0.010 Ry, ngauss= 0 13 Gaussian Broadening: 0.015 Ry, ngauss= 0 18 Gaussian Broadening: 0.020 Ry, ngauss= 0 23 Gaussian Broadening: 0.025 Ry, ngauss= 0 28 Gaussian Broadening: 0.030 Ry, ngauss= 0 33 Gaussian Broadening: 0.035 Ry, ngauss= 0 38 Gaussian Broadening: 0.040 Ry, ngauss= 0 43 Gaussian Broadening: 0.045 Ry, ngauss= 0 48 Gaussian Broadening: 0.050 Ry, ngauss= 0
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H A D | elph.inp_lambda.5 | 3 Gaussian Broadening: 0.005 Ry, ngauss= 0 8 Gaussian Broadening: 0.010 Ry, ngauss= 0 13 Gaussian Broadening: 0.015 Ry, ngauss= 0 18 Gaussian Broadening: 0.020 Ry, ngauss= 0 23 Gaussian Broadening: 0.025 Ry, ngauss= 0 28 Gaussian Broadening: 0.030 Ry, ngauss= 0 33 Gaussian Broadening: 0.035 Ry, ngauss= 0 38 Gaussian Broadening: 0.040 Ry, ngauss= 0 43 Gaussian Broadening: 0.045 Ry, ngauss= 0 48 Gaussian Broadening: 0.050 Ry, ngauss= 0
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H A D | elph.inp_lambda.2 | 3 Gaussian Broadening: 0.005 Ry, ngauss= 0 8 Gaussian Broadening: 0.010 Ry, ngauss= 0 13 Gaussian Broadening: 0.015 Ry, ngauss= 0 18 Gaussian Broadening: 0.020 Ry, ngauss= 0 23 Gaussian Broadening: 0.025 Ry, ngauss= 0 28 Gaussian Broadening: 0.030 Ry, ngauss= 0 33 Gaussian Broadening: 0.035 Ry, ngauss= 0 38 Gaussian Broadening: 0.040 Ry, ngauss= 0 43 Gaussian Broadening: 0.045 Ry, ngauss= 0 48 Gaussian Broadening: 0.050 Ry, ngauss= 0
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H A D | elph.inp_lambda.4 | 3 Gaussian Broadening: 0.005 Ry, ngauss= 0 8 Gaussian Broadening: 0.010 Ry, ngauss= 0 13 Gaussian Broadening: 0.015 Ry, ngauss= 0 18 Gaussian Broadening: 0.020 Ry, ngauss= 0 23 Gaussian Broadening: 0.025 Ry, ngauss= 0 28 Gaussian Broadening: 0.030 Ry, ngauss= 0 33 Gaussian Broadening: 0.035 Ry, ngauss= 0 38 Gaussian Broadening: 0.040 Ry, ngauss= 0 43 Gaussian Broadening: 0.045 Ry, ngauss= 0 48 Gaussian Broadening: 0.050 Ry, ngauss= 0
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H A D | elph.inp_lambda.6 | 3 Gaussian Broadening: 0.005 Ry, ngauss= 0 8 Gaussian Broadening: 0.010 Ry, ngauss= 0 13 Gaussian Broadening: 0.015 Ry, ngauss= 0 18 Gaussian Broadening: 0.020 Ry, ngauss= 0 23 Gaussian Broadening: 0.025 Ry, ngauss= 0 28 Gaussian Broadening: 0.030 Ry, ngauss= 0 33 Gaussian Broadening: 0.035 Ry, ngauss= 0 38 Gaussian Broadening: 0.040 Ry, ngauss= 0 43 Gaussian Broadening: 0.045 Ry, ngauss= 0 48 Gaussian Broadening: 0.050 Ry, ngauss= 0
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H A D | elph.inp_lambda.7 | 3 Gaussian Broadening: 0.005 Ry, ngauss= 0 8 Gaussian Broadening: 0.010 Ry, ngauss= 0 13 Gaussian Broadening: 0.015 Ry, ngauss= 0 18 Gaussian Broadening: 0.020 Ry, ngauss= 0 23 Gaussian Broadening: 0.025 Ry, ngauss= 0 28 Gaussian Broadening: 0.030 Ry, ngauss= 0 33 Gaussian Broadening: 0.035 Ry, ngauss= 0 38 Gaussian Broadening: 0.040 Ry, ngauss= 0 43 Gaussian Broadening: 0.045 Ry, ngauss= 0 48 Gaussian Broadening: 0.050 Ry, ngauss= 0
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H A D | elph.inp_lambda.8 | 3 Gaussian Broadening: 0.005 Ry, ngauss= 0 8 Gaussian Broadening: 0.010 Ry, ngauss= 0 13 Gaussian Broadening: 0.015 Ry, ngauss= 0 18 Gaussian Broadening: 0.020 Ry, ngauss= 0 23 Gaussian Broadening: 0.025 Ry, ngauss= 0 28 Gaussian Broadening: 0.030 Ry, ngauss= 0 33 Gaussian Broadening: 0.035 Ry, ngauss= 0 38 Gaussian Broadening: 0.040 Ry, ngauss= 0 43 Gaussian Broadening: 0.045 Ry, ngauss= 0 48 Gaussian Broadening: 0.050 Ry, ngauss= 0
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/dports/math/gap/gap-4.11.0/lib/ |
H A D | gaussian.gi | 11 ## This file contains methods for Gaussian rationals and Gaussian integers. 32 "for Gaussian integers", 59 "for Gaussian integers", 117 "for Gaussian integers", 147 "for Gaussian integers", 174 "for Gaussian integers", 191 "for Gaussian integers", 208 "for Gaussian integers", 225 "for Gaussian integers", 244 "for Gaussian integers and integer", [all …]
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/dports/sysutils/vector/vector-0.10.0/cargo-crates/criterion-0.3.2/src/stats/univariate/kde/ |
H A D | kernel.rs | 16 pub struct Gaussian; struct 18 impl<A> Kernel<A> for Gaussian implementation 36 use crate::stats::univariate::kde::kernel::{Gaussian, Kernel}; 40 relative_eq!(Gaussian.evaluate(-x), Gaussian.evaluate(x)) 54 let mut y = Gaussian.evaluate(a); 60 y = Gaussian.evaluate(x);
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/dports/shells/ion/ion-a8872014dbce730ccd00aaa722397dc394a52bf4/cargo-crates/criterion-0.2.11/src/stats/univariate/kde/ |
H A D | kernel.rs | 16 pub struct Gaussian; struct 18 impl<A> Kernel<A> for Gaussian implementation 36 use stats::univariate::kde::kernel::{Gaussian, Kernel}; 40 relative_eq!(Gaussian.evaluate(-x), Gaussian.evaluate(x)) 54 let mut y = Gaussian.evaluate(a); 60 y = Gaussian.evaluate(x);
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/dports/net-im/libsignal-client/libsignal-client-0.9.6/cargo-crates/criterion-0.3.4/src/stats/univariate/kde/ |
H A D | kernel.rs | 16 pub struct Gaussian; struct 18 impl<A> Kernel<A> for Gaussian implementation 38 use crate::stats::univariate::kde::kernel::{Gaussian, Kernel}; 42 relative_eq!(Gaussian.evaluate(-x), Gaussian.evaluate(x)) 56 let mut y = Gaussian.evaluate(a); 62 y = Gaussian.evaluate(x);
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