Home
last modified time | relevance | path

Searched refs:Gaussian (Results 1 – 25 of 4466) sorted by relevance

12345678910>>...179

/dports/misc/libemos/libemos-4.5.9-Source/tables/interpol/
H A D0-INDEX-04 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 …]
/dports/devel/fuzzylite/fuzzylite-6.0/fuzzylite/src/term/
H A DGaussian.cpp21 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 …]
/dports/math/apache-commons-math/commons-math3-3.6.1-src/src/test/java/org/apache/commons/math3/analysis/function/
H A DGaussianTest.java74 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 …]
/dports/science/clhep/2.4.1.0/CLHEP/GenericFunctions/src/
H A DGaussian.cc16 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()
/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/muq2/modules/Modeling/src/Distributions/
H A DGaussian.cpp8 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 …]
/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/muq2/modules/Modeling/python/
H A DDistributionWrapper.cpp137 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 …]
/dports/science/qmcpack/qmcpack-3.11.0/tests/molecules/LiH_pp/qmc_ref/
H A Dvmc_hf_sdj_xml.output58 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 …]
H A Dvmc_hf_sdj_hdf5.output59 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 …]
/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/muq2/MUQ/Modeling/Distributions/
H A DGaussian.h14 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 …]
/dports/science/clhep/2.4.1.0/CLHEP/GenericFunctions/GenericFunctions/
H A DGaussian.hh20 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);
/dports/science/simbody/simbody-Simbody-3.7/SimTKcommon/Random/src/
H A DRandom.cpp129 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 …]
/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/muq2/modules/Modeling/test/DistributionsTests/
H A DGaussianDistributionTests.cpp17 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 …]
/dports/science/simbody/simbody-Simbody-3.7/SimTKcommon/Random/include/SimTKcommon/internal/
H A DRandom.h57 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);
/dports/science/quantum-espresso/q-e-qe-6.7.0/PHonon/examples/Recover_example/reference_1/elph_dir/
H A Delph.inp_lambda.13 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
H A Delph.inp_lambda.33 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
H A Delph.inp_lambda.53 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
H A Delph.inp_lambda.23 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
H A Delph.inp_lambda.43 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
H A Delph.inp_lambda.63 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
H A Delph.inp_lambda.73 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
H A Delph.inp_lambda.83 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
/dports/math/gap/gap-4.11.0/lib/
H A Dgaussian.gi11 ## 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 …]
/dports/sysutils/vector/vector-0.10.0/cargo-crates/criterion-0.3.2/src/stats/univariate/kde/
H A Dkernel.rs16 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);
/dports/shells/ion/ion-a8872014dbce730ccd00aaa722397dc394a52bf4/cargo-crates/criterion-0.2.11/src/stats/univariate/kde/
H A Dkernel.rs16 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);
/dports/net-im/libsignal-client/libsignal-client-0.9.6/cargo-crates/criterion-0.3.4/src/stats/univariate/kde/
H A Dkernel.rs16 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);

12345678910>>...179