/dports/math/mlpack/mlpack-3.4.2/src/mlpack/tests/ |
H A D | dcgan_test.cpp | 116 GaussianInitialization gaussian(0, 1); variable 122 std::function<double()>, DCGAN> dcgan(generator, discriminator, gaussian, 165 gaussian, noiseFunction, noiseDim, batchSize, generatorUpdateStep, 170 gaussian, noiseFunction, noiseDim, batchSize, generatorUpdateStep, 175 gaussian, noiseFunction, noiseDim, batchSize, generatorUpdateStep,
|
/dports/math/sisl/SISL-SISL-4.6.0-44-g9114631/doc/manual/func/ |
H A D | s2500.tex | 12 …v iside2}, {\fov parvalue}, {\fov leftknot1}, {\fov leftknot2}, {\fov gaussian}, {\fov jstat}) 21 \>\> double \> *{\fov gaussian};\\ 74 \>\> {\fov gaussian}\> - \> \begin{minipg2} 103 \>\> double \> *{\fov gaussian};\\ 106 … iside2}, {\fov parvalue}, {\fov leftknot1}, {\fov leftknot2}, {\fov gaussian}, {\fov jstat});
|
/dports/graphics/ptex/ptex-2.3.2/src/ptex/ |
H A D | PtexTriangleKernel.cpp | 44 inline float gaussian(float x_squared) in gaussian() function 69 float weight = gaussian(Q)*k.wscale; in Apply() 96 float weight = gaussian(Q)*k.wscale; in ApplyS() 123 float weight = gaussian(Q)*k.wscale; in ApplyN() 167 weight += gaussian(Q)*wscale; in applyConst()
|
/dports/math/geogram/geogram-1.7.7/src/lib/geogram_gfx/GLUP/shaders/fullscreen/ |
H A D | depth_dependent_blur_fragment_shader.h | 25 float gaussian(in float x, in float s) { in gaussian() function 69 float weight = gaussian(float(i), blur_width); 96 float weight = gaussian(float(i), blur_width) / sum;
|
/dports/misc/vxl/vxl-3.3.2/contrib/brl/bseg/bvxm/algo/ |
H A D | bvxm_merge_mog.cxx | 13 …d bvxm_merge_mog::kl_merge(bvxm_merge_mog::mix_gauss_type const& mixture, bsta_gauss_sf1 &gaussian) in kl_merge() argument 43 gaussian.set_mean(mean); in kl_merge() 44 gaussian.set_var(var); in kl_merge()
|
/dports/graphics/krita/krita-4.4.8/plugins/paintops/spray/ |
H A D | kis_sprayop_option.h | 69 bool gaussian; variable 88 gaussian = settings->getBool(SPRAY_GAUSS_DISTRIBUTION); in readOptionSettingImpl() 101 setting->setProperty(SPRAY_GAUSS_DISTRIBUTION, gaussian); in writeOptionSettingImpl()
|
/dports/security/nflib/NFLlib-1.0.0-23-g5cf40ed/doc/ |
H A D | nfl.rst | 97 :gaussian polynomial: 99 A polynomial initialized with a gaussian distribution:: 101 // Define the gaussian generator object (parameters are explained below) 104 nfl::gaussian<typename poly_type::value_type> gaussian_struct(&g_prng, 2); 105 … // This initializes P as a polynomial with coefficients following closely a discrete gaussian in 118 …fficients following a discrete gaussian are needed in most cryptographic applications. These are o… 143 …Standard deviation (in the sense of [1]) of the discrete gaussian from which are sampled the polyn…
|
/dports/math/openturns/openturns-1.18/python/doc/theory/data_analysis/ |
H A D | gaussian_calibration.rst | 34 The goal of gaussian calibration is to estimate :math:`\vect{\theta}`, based on 85 In the gaussian calibration, the two previous distributions are assumed to be gaussian. 88 has the gaussian distribution: 94 where :math:`\vect{\mu}\in\Rset^{d_h}` is the mean of the gaussian prior distribution, 98 Secondly, we make the hypothesis that the output observations have the conditional gaussian distrib… 152 The gaussian calibration is a tradeoff, so that the 163 The cost function of the gaussian nonlinear calibration problem is : 172 The goal of the non linear gaussian calibration is to find the 205 Under this hypothesis, the solution of the nonlinear gaussian calibration is unique. 210 The implementation of the resolution of the gaussian non linear calibration
|
/dports/science/lammps/lammps-stable_29Sep2021/src/ |
H A D | random_mars.h | 26 double gaussian(); 27 double gaussian(double mu, double sigma);
|
/dports/science/xtb/xtb-6.4.1/src/mctc/ |
H A D | filetypes.f90 | 60 integer :: gaussian = 8 132 ftype = fileType%gaussian 215 case(fileType%gaussian)
|
/dports/math/universal/universal-3.48/tests/blas/ |
H A D | generators.cpp | 65 Matrix gaussian(10, 10); in generateMatrices() local 66 sw::universal::blas::gaussian_random(gaussian, -1.0, 1.0); in generateMatrices() 67 std::cout << "Gaussian Random\n" << std::setprecision(5) << std::setw(10) << gaussian << '\n'; in generateMatrices()
|
/dports/graphics/py-scikit-image/scikit-image-0.19.0/skimage/color/tests/ |
H A D | test_adapt_rgb.py | 14 smooth = partial(filters.gaussian, sigma=SIGMA) 25 return filters.gaussian(image, sigma) 42 return filters.gaussian(image, sigma)
|
/dports/misc/libemos/libemos-4.5.9-Source/gribex/ |
H A D | sencode.c | 1120 MOVE2BYTES(((g->g2)->grid.gaussian.iDirectionIncrement),&zero); in ISREPRS() 1124 MOVE1BYTE(((g->g2)->grid.gaussian.scanningMode),&zero); in ISREPRS() 1125 MOVE4BYTES(((g->g2)->grid.gaussian.setToZero),&zero); in ISREPRS() 1133 MOVE4BYTES(((g->g2)->grid.gaussian.stretchingFactor),&zero); in ISREPRS() 1587 MOVE3BYTES(((g->g2)->grid.gaussian.longitudeOfFirstPoint),&zero); in ISSETQG() 1591 MOVE2BYTES(((g->g2)->grid.gaussian.iDirectionIncrement),&missing); in ISSETQG() 1594 MOVE1BYTE(((g->g2)->grid.gaussian.scanningMode),&zero); in ISSETQG() 1596 MOVE4BYTES(((g->g2)->grid.gaussian.setToZero),&zero); in ISSETQG() 1597 MOVE3BYTES(((g->g2)->grid.gaussian.latitudeOfSouthPole),&zero); in ISSETQG() 1598 MOVE3BYTES(((g->g2)->grid.gaussian.longitudeOfSouthPole),&zero); in ISSETQG() [all …]
|
/dports/science/lammps/lammps-stable_29Sep2021/src/EXTRA-FIX/ |
H A D | fix_gld.cpp | 276 fran[0] = rmult*random->gaussian(); in initial_integrate() 277 fran[1] = rmult*random->gaussian(); in initial_integrate() 278 fran[2] = rmult*random->gaussian(); in initial_integrate() 336 fran[0] = rmult*random->gaussian(); in initial_integrate() 337 fran[1] = rmult*random->gaussian(); in initial_integrate() 338 fran[2] = rmult*random->gaussian(); in initial_integrate() 635 s_gld[i][k] = eq_sdev*random->gaussian(); in init_s_gld() 636 s_gld[i][k+1] = eq_sdev*random->gaussian(); in init_s_gld() 637 s_gld[i][k+2] = eq_sdev*random->gaussian(); in init_s_gld()
|
/dports/emulators/mess/mame-mame0226/3rdparty/bimg/3rdparty/iqa/include/ |
H A D | iqa.h | 57 int gaussian; /**< 1=11x11 Gaussian window (default). 0=8x8 linear window. */ member 109 int gaussian, const struct iqa_ssim_args *args);
|
/dports/emulators/mame/mame-mame0226/3rdparty/bimg/3rdparty/iqa/include/ |
H A D | iqa.h | 57 int gaussian; /**< 1=11x11 Gaussian window (default). 0=8x8 linear window. */ member 109 int gaussian, const struct iqa_ssim_args *args);
|
/dports/devel/godot/godot-3.2.3-stable/drivers/gles3/shaders/ |
H A D | ssao_blur.glsl | 46 const float gaussian[R + 1] = 84 float BASE = gaussian[0]; 105 // spatial domain: offset gaussian tap 106 float weight = 0.3 + gaussian[abs(r)];
|
/dports/devel/godot/godot-3.2.3-stable/drivers/gles2/shaders/ |
H A D | ssao_blur.glsl | 46 const float gaussian[R + 1] = 84 float BASE = gaussian[0]; 105 // spatial domain: offset gaussian tap 106 float weight = 0.3 + gaussian[abs(r)];
|
/dports/devel/godot-tools/godot-3.2.3-stable/drivers/gles3/shaders/ |
H A D | ssao_blur.glsl | 46 const float gaussian[R + 1] = 84 float BASE = gaussian[0]; 105 // spatial domain: offset gaussian tap 106 float weight = 0.3 + gaussian[abs(r)];
|
/dports/devel/godot-tools/godot-3.2.3-stable/drivers/gles2/shaders/ |
H A D | ssao_blur.glsl | 46 const float gaussian[R + 1] = 84 float BASE = gaussian[0]; 105 // spatial domain: offset gaussian tap 106 float weight = 0.3 + gaussian[abs(r)];
|
/dports/science/votca/votca-2021.2-18560-gfbe18d971/xtp/xtp-2a31d70/src/libxtp/ |
H A D | aobasis.cc | 98 for (const GaussianPrimitive& gaussian : shell) { in Fill() local 99 aoshell.addGaussian(gaussian); in Fill() 157 for (const auto& gaussian : shell) { in WriteToCpt() local 158 gaussian.WriteData(dataVec[i], shell); in WriteToCpt()
|
/dports/science/votca/votca-2021.2-18560-gfbe18d971/xtp/src/libxtp/ |
H A D | aobasis.cc | 96 for (const GaussianPrimitive& gaussian : shell) { in HealthyNodes() 97 aoshell.addGaussian(gaussian); in HealthyNodes() 155 for (const auto& gaussian : shell) { in HealthyNodes() 156 gaussian.WriteData(dataVec[i], shell); in HealthyNodes()
|
/dports/science/lammps/lammps-stable_29Sep2021/src/SPIN/ |
H A D | fix_langevin_spin.cpp | 147 double rx = sigma*random->gaussian(); in add_temperature() 148 double ry = sigma*random->gaussian(); in add_temperature() 149 double rz = sigma*random->gaussian(); in add_temperature()
|
/dports/security/vault/vault-1.8.2/vendor/github.com/influxdata/influxdb/etc/burn-in/ |
H A D | random_gaussian.rb | 16 x, y = self.class.gaussian(@mean, @stddev, @rand_helper) 23 def self.gaussian(mean, stddev, rand) singletonMethod in RandomGaussian
|
/dports/net-p2p/go-ethereum/go-ethereum-1.10.14/vendor/github.com/influxdata/influxdb/etc/burn-in/ |
H A D | random_gaussian.rb | 16 x, y = self.class.gaussian(@mean, @stddev, @rand_helper) 23 def self.gaussian(mean, stddev, rand) singletonMethod in RandomGaussian
|