| /dports/math/vtk9/VTK-9.1.0/ThirdParty/vtkm/vtkvtkm/vtk-m/vtkm/worklet/splatkernels/ |
| H A D | Gaussian.h | 36 Gaussian(double smoothingLength) in Gaussian() function
57 double w(double distance) const in w()
72 double w2(double distance2) const in w2()
87 double w(double h, double distance) const in w()
173 double maxSquaredDistance(double h) const in maxSquaredDistance()
180 double Hinverse_;
181 double Hinverse2_;
182 double maxRadius_;
183 double maxRadius2_;
184 double scale_W_;
[all …]
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| /dports/math/vtk8/VTK-8.2.0/ThirdParty/vtkm/vtk-m/vtkm/worklet/splatkernels/ |
| H A D | Gaussian.h | 46 Gaussian(double smoothingLength) in Gaussian() argument
67 double w(double distance) const in w()
82 double w2(double distance2) const in w2()
97 double w(double h, double distance) const in w()
183 double maxSquaredDistance(double h) const in maxSquaredDistance()
190 double Hinverse_;
191 double Hinverse2_;
192 double maxRadius_;
193 double maxRadius2_;
194 double scale_W_;
[all …]
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| /dports/biology/hhsuite/hh-suite-3.3.0/src/cs/ |
| H A D | ran.h | 59 struct Gaussian : public Ran { struct
62 Gaussian(double mmu, double ssig, Ullong i) : Ran(i), mu(mmu), sig(ssig) {} in Gaussian() argument
64 double operator() () { in operator()
77 double mu,sig;
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| /dports/www/grafana8/grafana-8.3.6/vendor/gonum.org/v1/gonum/dsp/window/ |
| H A D | window_parametric.go | 30 type Gaussian struct { struct
31 Sigma float64
36 func (g Gaussian) Transform(seq []float64) []float64 {
47 func (g Gaussian) TransformComplex(seq []complex128) []complex128 {
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| /dports/graphics/pcl-pointclouds/pcl-pcl-1.12.0/segmentation/include/pcl/segmentation/ |
| H A D | grabcut_segmentation.h | 203 struct Gaussian struct
205 Gaussian () {} in Gaussian() function
207 Color mu;
209 Eigen::Matrix3f covariance;
211 float determinant;
213 Eigen::Matrix3f inverse;
238 Gaussian& argument
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| /dports/graphics/enblend/enblend-enfuse-4.2/src/ |
| H A D | exposure_weight.h | 44 struct Gaussian : public ExposureWeight struct
46 … Gaussian(double y_optimum, double width_parameter) : ExposureWeight(y_optimum, width_parameter) {} in Gaussian() function
48 double weight(double y) override in weight()
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| /dports/math/apache-commons-math/commons-math3-3.6.1-src/src/main/java/org/apache/commons/math3/analysis/function/ |
| H A D | Gaussian.java | 40 public class Gaussian implements UnivariateDifferentiableFunction, DifferentiableUnivariateFunction… class
58 public Gaussian(double norm, in Gaussian() method in Gaussian
79 public Gaussian(double mean, in Gaussian() method in Gaussian
88 public Gaussian() { in Gaussian() method in Gaussian
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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
|
| /dports/net-im/zkgroup/zkgroup-0.7.4/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
|
| /dports/textproc/angle-grinder/angle-grinder-0.18.0/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
|
| /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
|
| /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
|
| /dports/graphics/pastel/pastel-0.8.1/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
|
| /dports/devel/stylua/StyLua-0.11.0/cargo-crates/criterion-0.3.5/src/stats/univariate/kde/ |
| H A D | kernel.rs | 16 pub struct Gaussian; struct
18 impl<A> Kernel<A> for Gaussian implementation
|
| /dports/multimedia/librav1e/rav1e-0.5.1/cargo-crates/criterion-0.3.5/src/stats/univariate/kde/ |
| H A D | kernel.rs | 16 pub struct Gaussian; struct
18 impl<A> Kernel<A> for Gaussian implementation
|
| /dports/multimedia/rav1e/rav1e-0.5.1/cargo-crates/criterion-0.3.5/src/stats/univariate/kde/ |
| H A D | kernel.rs | 16 pub struct Gaussian; struct
18 impl<A> Kernel<A> for Gaussian implementation
|
| /dports/graphics/librsvg2-rust/librsvg-2.52.8/vendor/criterion/src/stats/univariate/kde/ |
| H A D | kernel.rs | 16 pub struct Gaussian; struct
18 impl<A> Kernel<A> for Gaussian implementation
|
| /dports/misc/xplr/xplr-0.17.0/cargo-crates/criterion-0.3.5/src/stats/univariate/kde/ |
| H A D | kernel.rs | 16 pub struct Gaussian; struct
18 impl<A> Kernel<A> for Gaussian implementation
|
| /dports/textproc/jql/jql-3.0.6/cargo-crates/criterion-0.3.5/src/stats/univariate/kde/ |
| H A D | kernel.rs | 16 pub struct Gaussian; struct
18 impl<A> Kernel<A> for Gaussian implementation
|
| /dports/benchmarks/inferno/inferno-0.10.9/cargo-crates/criterion-0.3.5/src/stats/univariate/kde/ |
| H A D | kernel.rs | 16 pub struct Gaussian; struct
18 impl<A> Kernel<A> for Gaussian implementation
|
| /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
26 Gaussian::Gaussian(const Gaussian & right): in Gaussian() function in Genfun::Gaussian
|
| /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
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| /dports/science/madness/madness-ebb3fd7/src/madness/external/elemental/include/elemental/matrices/ |
| H A D | Gaussian.hpp | 30 Gaussian( Matrix<T>& A, Int m, Int n, T mean=0, Base<T> stddev=1 ) in Gaussian() function
115 Gaussian( DistMatrix<T,U,V>& A, Int m, Int n, T mean=0, Base<T> stddev=1 ) in Gaussian() function
124 Gaussian( BlockDistMatrix<T,U,V>& A, Int m, Int n, T mean=0, Base<T> stddev=1 ) in Gaussian() function
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| /dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/trilinos/packages/rol/src/sol/function/distribution/ |
| H A D | ROL_Gaussian.hpp | 53 class Gaussian : public Distribution<Real> { class
82 Gaussian(const Real mean = 0., const Real variance = 1.) in Gaussian() function in ROL::Gaussian
92 Gaussian(ROL::ParameterList &parlist) { in Gaussian() function in ROL::Gaussian
|
| /dports/graphics/vigra/vigra-8acd73a/include/vigra/ |
| H A D | gaussians.hxx | 63 class Gaussian class
89 explicit Gaussian(T sigma = 1.0, unsigned int derivativeOrder = 0) in Gaussian() function in vigra::Gaussian
|