/dports/devel/hyperscan/boost_1_75_0/boost/accumulators/statistics/ |
H A D | covariance.hpp | 174 struct covariance struct 191 extractor<tag::abstract_covariance> const covariance = {}; variable 193 BOOST_ACCUMULATORS_IGNORE_GLOBAL(covariance) 196 using extract::covariance; 199 struct feature_of<tag::covariance<VariateType, VariateTag> > 207 struct as_weighted_feature<tag::covariance<VariateType, VariateTag> > 214 : feature_of<tag::covariance<VariateType, VariateTag> >
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/dports/science/py-scipy/scipy-1.7.1/scipy/_lib/boost/boost/accumulators/statistics/ |
H A D | covariance.hpp | 174 struct covariance 191 extractor<tag::abstract_covariance> const covariance = {}; 193 BOOST_ACCUMULATORS_IGNORE_GLOBAL(covariance) 196 using extract::covariance; 199 struct feature_of<tag::covariance<VariateType, VariateTag> > 207 struct as_weighted_feature<tag::covariance<VariateType, VariateTag> > 214 : feature_of<tag::covariance<VariateType, VariateTag> >
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/dports/devel/R-cran-BH/BH/inst/include/boost/accumulators/statistics/ |
H A D | covariance.hpp | 174 struct covariance struct 191 extractor<tag::abstract_covariance> const covariance = {}; variable 193 BOOST_ACCUMULATORS_IGNORE_GLOBAL(covariance) 196 using extract::covariance; 199 struct feature_of<tag::covariance<VariateType, VariateTag> > 207 struct as_weighted_feature<tag::covariance<VariateType, VariateTag> > 214 : feature_of<tag::covariance<VariateType, VariateTag> >
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/dports/devel/boost-libs/boost_1_72_0/boost/accumulators/statistics/ |
H A D | covariance.hpp | 174 struct covariance struct 191 extractor<tag::abstract_covariance> const covariance = {}; variable 193 BOOST_ACCUMULATORS_IGNORE_GLOBAL(covariance) 196 using extract::covariance; 199 struct feature_of<tag::covariance<VariateType, VariateTag> > 207 struct as_weighted_feature<tag::covariance<VariateType, VariateTag> > 214 : feature_of<tag::covariance<VariateType, VariateTag> >
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/dports/devel/boost-python-libs/boost_1_72_0/boost/accumulators/statistics/ |
H A D | covariance.hpp | 174 struct covariance struct 191 extractor<tag::abstract_covariance> const covariance = {}; variable 193 BOOST_ACCUMULATORS_IGNORE_GLOBAL(covariance) 196 using extract::covariance; 199 struct feature_of<tag::covariance<VariateType, VariateTag> > 207 struct as_weighted_feature<tag::covariance<VariateType, VariateTag> > 214 : feature_of<tag::covariance<VariateType, VariateTag> >
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/dports/math/stanmath/math-4.2.0/lib/boost_1.75.0/boost/accumulators/statistics/ |
H A D | covariance.hpp | 174 struct covariance struct 191 extractor<tag::abstract_covariance> const covariance = {}; variable 193 BOOST_ACCUMULATORS_IGNORE_GLOBAL(covariance) 196 using extract::covariance; 199 struct feature_of<tag::covariance<VariateType, VariateTag> > 207 struct as_weighted_feature<tag::covariance<VariateType, VariateTag> > 214 : feature_of<tag::covariance<VariateType, VariateTag> >
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/dports/math/py-pystan/pystan-2.19.0.0/pystan/stan/lib/stan_math/lib/boost_1.69.0/boost/accumulators/statistics/ |
H A D | covariance.hpp | 167 struct covariance struct 184 extractor<tag::abstract_covariance> const covariance = {}; variable 186 BOOST_ACCUMULATORS_IGNORE_GLOBAL(covariance) 189 using extract::covariance; 192 struct feature_of<tag::covariance<VariateType, VariateTag> > 200 struct as_weighted_feature<tag::covariance<VariateType, VariateTag> > 207 : feature_of<tag::covariance<VariateType, VariateTag> >
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/dports/devel/boost-docs/boost_1_72_0/boost/accumulators/statistics/ |
H A D | covariance.hpp | 174 struct covariance struct 191 extractor<tag::abstract_covariance> const covariance = {}; variable 193 BOOST_ACCUMULATORS_IGNORE_GLOBAL(covariance) 196 using extract::covariance; 199 struct feature_of<tag::covariance<VariateType, VariateTag> > 207 struct as_weighted_feature<tag::covariance<VariateType, VariateTag> > 214 : feature_of<tag::covariance<VariateType, VariateTag> >
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/dports/math/openturns/openturns-1.18/lib/test/ |
H A D | t_GeneralLinearModelAlgorithm_std.expout | 4 covariance (dirac, optimized)=class=DiracCovarianceModel, amplitude=class=Point name=Unnamed dimens… 9 covariance (dirac, not optimized)=class=DiracCovarianceModel, amplitude=class=Point name=Unnamed di… 14 covariance (reduced, unbiased)=class=AbsoluteExponential scale=class=Point name=Unnamed dimension=1… 19 covariance (reduced, biased)=class=AbsoluteExponential scale=class=Point name=Unnamed dimension=1 v… 24 covariance (full optim)=class=AbsoluteExponential scale=class=Point name=Unnamed dimension=1 values…
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/dports/math/cgal/CGAL-5.3/include/CGAL/ |
H A D | linear_least_squares_fitting_points_2.h | 64 typename DiagonalizeTraits::Covariance_matrix covariance = {{ 0., 0., 0. }}; in linear_least_squares_fitting_2() local 72 covariance[0] += d.x() * d.x(); in linear_least_squares_fitting_2() 73 covariance[1] += d.x() * d.y(); in linear_least_squares_fitting_2() 74 covariance[2] += d.y() * d.y(); in linear_least_squares_fitting_2() 83 (covariance, eigen_values, eigen_vectors); in linear_least_squares_fitting_2()
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H A D | linear_least_squares_fitting_triangles_2.h | 68 typename DiagonalizeTraits::Covariance_matrix covariance = {{ 0., 0., 0. }}; in linear_least_squares_fitting_2() local 104 covariance[0] += transformation[0][0] + area * (x0*xav0*2 + x0*x0); in linear_least_squares_fitting_2() 105 covariance[1] += transformation[0][1] + area * (x0*yav0 + xav0*y0 + x0*y0); in linear_least_squares_fitting_2() 106 covariance[2] += transformation[1][1] + area * (y0*yav0*2 + y0*y0); in linear_least_squares_fitting_2() 115 covariance[0] += -mass * (c.x() * c.x()); in linear_least_squares_fitting_2() 116 covariance[1] += -mass * (c.x() * c.y()); in linear_least_squares_fitting_2() 117 covariance[2] += -mass * (c.y() * c.y()); in linear_least_squares_fitting_2() 127 (covariance, eigen_values, eigen_vectors); in linear_least_squares_fitting_2()
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H A D | linear_least_squares_fitting_rectangles_2.h | 68 typename DiagonalizeTraits::Covariance_matrix covariance = {{ 0., 0., 0. }}; in linear_least_squares_fitting_2() local 107 covariance[0] += transformation[0][0] + area * (x0*xav0*2 + x0*x0); in linear_least_squares_fitting_2() 108 covariance[1] += transformation[0][1] + area * (x0*yav0 + xav0*y0 + x0*y0); in linear_least_squares_fitting_2() 109 covariance[2] += transformation[1][1] + area * (y0*yav0*2 + y0*y0); in linear_least_squares_fitting_2() 118 covariance[0] += -mass * (c.x() * c.x()); in linear_least_squares_fitting_2() 119 covariance[1] += -mass * (c.x() * c.y()); in linear_least_squares_fitting_2() 120 covariance[2] += -mass * (c.y() * c.y()); in linear_least_squares_fitting_2() 128 (covariance, eigen_values, eigen_vectors); in linear_least_squares_fitting_2()
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/dports/math/p5-Statistics-Basic/Statistics-Basic-1.6611/lib/Statistics/Basic/ |
H A D | Covariance.pod | 3 Statistics::Basic::Covariance - find the covariance between two lists 9 my $covariance = covariance( [1,2,3], [1,2,3] ); 19 print "The covariance between $v1 and $v2: $covariance\n"; 23 Create a 20 point "moving" covariance like so: 61 L<covariance()|Statistics::Basic/covariance() cov()> shortcut-function
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/dports/astro/opencpn/OpenCPN-5.2.4/libs/texcmp/squish/ |
H A D | maths.cpp | 50 Sym3x3 covariance( 0.0f ); in ComputeWeightedCovariance() local 56 covariance[0] += a.X()*b.X(); in ComputeWeightedCovariance() 57 covariance[1] += a.X()*b.Y(); in ComputeWeightedCovariance() 58 covariance[2] += a.X()*b.Z(); in ComputeWeightedCovariance() 59 covariance[3] += a.Y()*b.Y(); in ComputeWeightedCovariance() 60 covariance[4] += a.Y()*b.Z(); in ComputeWeightedCovariance() 61 covariance[5] += a.Z()*b.Z(); in ComputeWeightedCovariance() 65 return covariance; in ComputeWeightedCovariance()
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/dports/games/spring/spring_98.0/rts/lib/squish/ |
H A D | maths.cpp | 50 Sym3x3 covariance( 0.0f ); in ComputeWeightedCovariance() local 56 covariance[0] += a.X()*b.X(); in ComputeWeightedCovariance() 57 covariance[1] += a.X()*b.Y(); in ComputeWeightedCovariance() 58 covariance[2] += a.X()*b.Z(); in ComputeWeightedCovariance() 59 covariance[3] += a.Y()*b.Y(); in ComputeWeightedCovariance() 60 covariance[4] += a.Y()*b.Z(); in ComputeWeightedCovariance() 61 covariance[5] += a.Z()*b.Z(); in ComputeWeightedCovariance() 65 return covariance; in ComputeWeightedCovariance()
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/dports/math/apache-commons-math/commons-math3-3.6.1-src/src/main/java/org/apache/commons/math3/stat/regression/ |
H A D | AbstractMultipleLinearRegression.java | 251 protected void validateCovarianceData(double[][] x, double[][] covariance) { in validateCovarianceData() argument 252 if (x.length != covariance.length) { in validateCovarianceData() 253 throw new DimensionMismatchException(x.length, covariance.length); in validateCovarianceData() 255 if (covariance.length > 0 && covariance.length != covariance[0].length) { in validateCovarianceData() 256 throw new NonSquareMatrixException(covariance.length, covariance[0].length); in validateCovarianceData()
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/dports/math/octave-forge-signal/signal-1.4.1/inst/ |
H A D | xcov.m | 22 ## Compute covariance at various lags [=correlation(x-mean(x),y-mean(y))]. 28 ## if specified, compute cross-covariance between X and Y, 36 ## for covariance=raw/N, 38 ## for covariance=raw/(N-|lag|), 40 ## for covariance=raw/(covariance at lag 0), 42 ## for covariance=raw 48 ## Returns the covariance for each lag in the range, plus an
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/dports/graphics/squish/squish-1.10/ |
H A D | maths.cpp | 50 Sym3x3 covariance( 0.0f ); in ComputeWeightedCovariance() local 56 covariance[0] += a.X()*b.X(); in ComputeWeightedCovariance() 57 covariance[1] += a.X()*b.Y(); in ComputeWeightedCovariance() 58 covariance[2] += a.X()*b.Z(); in ComputeWeightedCovariance() 59 covariance[3] += a.Y()*b.Y(); in ComputeWeightedCovariance() 60 covariance[4] += a.Y()*b.Z(); in ComputeWeightedCovariance() 61 covariance[5] += a.Z()*b.Z(); in ComputeWeightedCovariance() 65 return covariance; in ComputeWeightedCovariance()
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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/queso/test/test_gaussian_likelihoods/ |
H A D | test_blockDiagonalCovarianceChain.C | 47 const V & observations, const QUESO::GslBlockMatrix & covariance) in Likelihood() argument 49 observations, covariance) in Likelihood() 167 this->covariance = new QUESO::GslBlockMatrix(blockSizes, in BayesianInverseProblem() 169 (this->covariance->getBlock(0))(0, 0) = 1.0; in BayesianInverseProblem() 170 (this->covariance->getBlock(0))(0, 1) = 2.0; in BayesianInverseProblem() 171 (this->covariance->getBlock(0))(1, 0) = 2.0; in BayesianInverseProblem() 172 (this->covariance->getBlock(0))(1, 1) = 8.0; in BayesianInverseProblem() 173 (this->covariance->getBlock(1))(0, 0) = 2.0; in BayesianInverseProblem() 180 *(this->paramDomain), *(this->observations), *(this->covariance)); in BayesianInverseProblem() 235 QUESO::GslBlockMatrix * covariance; variable
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/dports/games/frogatto/frogatto-1.3.1/MacOSJet/boost/include/boost/accumulators/statistics/ |
H A D | covariance.hpp | 175 struct covariance struct 192 extractor<tag::abstract_covariance> const covariance = {}; variable 194 BOOST_ACCUMULATORS_IGNORE_GLOBAL(covariance) 197 using extract::covariance; 200 struct feature_of<tag::covariance<VariateType, VariateTag> > 208 struct as_weighted_feature<tag::covariance<VariateType, VariateTag> > 215 : feature_of<tag::covariance<VariateType, VariateTag> >
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/dports/databases/percona57-pam-for-mysql/boost_1_59_0/boost/accumulators/statistics/ |
H A D | covariance.hpp | 175 struct covariance struct 192 extractor<tag::abstract_covariance> const covariance = {}; variable 194 BOOST_ACCUMULATORS_IGNORE_GLOBAL(covariance) 197 using extract::covariance; 200 struct feature_of<tag::covariance<VariateType, VariateTag> > 208 struct as_weighted_feature<tag::covariance<VariateType, VariateTag> > 215 : feature_of<tag::covariance<VariateType, VariateTag> >
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/dports/databases/xtrabackup/boost_1_59_0/boost/accumulators/statistics/ |
H A D | covariance.hpp | 175 struct covariance struct 192 extractor<tag::abstract_covariance> const covariance = {}; variable 194 BOOST_ACCUMULATORS_IGNORE_GLOBAL(covariance) 197 using extract::covariance; 200 struct feature_of<tag::covariance<VariateType, VariateTag> > 208 struct as_weighted_feature<tag::covariance<VariateType, VariateTag> > 215 : feature_of<tag::covariance<VariateType, VariateTag> >
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/dports/databases/percona57-server/boost_1_59_0/boost/accumulators/statistics/ |
H A D | covariance.hpp | 175 struct covariance struct 192 extractor<tag::abstract_covariance> const covariance = {}; variable 194 BOOST_ACCUMULATORS_IGNORE_GLOBAL(covariance) 197 using extract::covariance; 200 struct feature_of<tag::covariance<VariateType, VariateTag> > 208 struct as_weighted_feature<tag::covariance<VariateType, VariateTag> > 215 : feature_of<tag::covariance<VariateType, VariateTag> >
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/dports/databases/percona57-client/boost_1_59_0/boost/accumulators/statistics/ |
H A D | covariance.hpp | 175 struct covariance struct 192 extractor<tag::abstract_covariance> const covariance = {}; variable 194 BOOST_ACCUMULATORS_IGNORE_GLOBAL(covariance) 197 using extract::covariance; 200 struct feature_of<tag::covariance<VariateType, VariateTag> > 208 struct as_weighted_feature<tag::covariance<VariateType, VariateTag> > 215 : feature_of<tag::covariance<VariateType, VariateTag> >
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/dports/security/keybase/client-v5.7.1/shared/ios/Pods/boost-for-react-native/boost/accumulators/statistics/ |
H A D | covariance.hpp | 175 struct covariance struct 192 extractor<tag::abstract_covariance> const covariance = {}; variable 194 BOOST_ACCUMULATORS_IGNORE_GLOBAL(covariance) 197 using extract::covariance; 200 struct feature_of<tag::covariance<VariateType, VariateTag> > 208 struct as_weighted_feature<tag::covariance<VariateType, VariateTag> > 215 : feature_of<tag::covariance<VariateType, VariateTag> >
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