/dports/science/clhep/2.4.1.0/CLHEP/GenericFunctions/src/ |
H A D | AnalyticConvolution.cc | 79 expG = exp((xsigma*xsigma +2*tau*(/*xoffset*/x))/(2.0*tau*tau)) * in operator ()() 80 erfc((xsigma*xsigma+tau*(/*xoffset*/x))/(sqrtTwo*xsigma*tau))/(2.0*tau); in operator ()() 93 expG = exp((xsigma*xsigma +2*tau*(/*xoffset*/-x))/(2.0*tau*tau)) * in operator ()() 94 erfc((xsigma*xsigma+tau*(/*xoffset*/-x))/(sqrtTwo*xsigma*tau))/(2.0*tau); in operator ()() 117 if (xsigma>6.0*tau) { in operator ()() 129 std::complex<double> z(freq*xsigma/sqrtTwo, (xsigma/tau-x/xsigma)/sqrtTwo); in operator ()() 132 asymm= 2.0*nwwerf(z).real()/tau/4.0*exp(-x*x/2.0/xsigma/xsigma); in operator ()() 135 asymm= 2.0*nwwerf(z).imag()/tau/4.0*exp(-x*x/2.0/xsigma/xsigma); in operator ()() 140 asymm= -2.0*nwwerf(std::conj(z)).real()/tau/4*exp(-x*x/2.0/xsigma/xsigma) + in operator ()() 141 …exp(xsigma*xsigma/2 *(1/tau/tau - freq*freq) - x/tau)*(1./tau)*cos(freq*x - freq/tau*xsigma*xsigma… in operator ()() [all …]
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H A D | PuncturedSmearedExp.cc | 75 double xsigma = _sigma.getValue(); in operator ()() local 117 double alpha = (a/xsigma + xsigma/tau)/sqrtTwo; in operator ()() 118 double beta = (b/xsigma + xsigma/tau)/sqrtTwo; in operator ()() 119 double delta = 1/sqrtTwo/xsigma; in operator ()()
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/dports/math/gsl/gsl-2.7/filter/ |
H A D | impulse.c | 31 … gsl_vector * y, gsl_vector * xsigma, size_t * noutlier, gsl_vector_int * ioutlier); 101 …const gsl_vector * x, gsl_vector * y, gsl_vector * xmedian, gsl_vector * xsigma, size_t * noutlier, in gsl_filter_impulse() argument 114 else if (xsigma->size != n) in gsl_filter_impulse() 136 gsl_movstat_mad(endtype, x, xmedian, xsigma, w->movstat_workspace_p); in gsl_filter_impulse() 150 gsl_movstat_qqr(endtype, x, 0.25, xsigma, w->movstat_workspace_p); in gsl_filter_impulse() 161 gsl_movstat_Sn(endtype, x, xsigma, w->movstat_workspace_p); in gsl_filter_impulse() 172 gsl_movstat_Qn(endtype, x, xsigma, w->movstat_workspace_p); in gsl_filter_impulse() 183 status = filter_impulse(scale, 0.0, t, x, xmedian, y, xsigma, noutlier, ioutlier); in gsl_filter_impulse() 220 gsl_vector * y, gsl_vector * xsigma, size_t * noutlier, gsl_vector_int * ioutlier) in filter_impulse() argument 232 else if (xsigma->size != n) in filter_impulse() [all …]
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H A D | test_impulse.c | 53 gsl_vector * xsigma = gsl_vector_alloc(n); in test_impulse_proc() local 83 gsl_filter_impulse(etype, stype, 0.0, x, y, xmedian, xsigma, &noutlier, ioutlier, impulse_p); in test_impulse_proc() 90 gsl_filter_impulse(etype, stype, nsigma, x, y, xmedian, xsigma, &noutlier, ioutlier, impulse_p); in test_impulse_proc() 104 gsl_vector_get(xmedian, i) + nsigma * gsl_vector_get(xsigma, i), in test_impulse_proc() 105 gsl_vector_get(xmedian, i) - nsigma * gsl_vector_get(xsigma, i)); in test_impulse_proc() 130 gsl_filter_impulse(etype, stype, nsigma, z, z, xmedian, xsigma, &noutlier, ioutlier, impulse_p); in test_impulse_proc() 140 gsl_vector_free(xsigma); in test_impulse_proc()
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H A D | gsl_filter.h | 103 …const gsl_vector * x, gsl_vector * y, gsl_vector * xmedian, gsl_vector * xsigma, size_t * noutlier,
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/dports/graphics/mirtk/MIRTK-2.0.0-122-g38210fa/Modules/Image/src/ |
H A D | GaussianBlurringWithPadding.cc | 41 ::GaussianBlurringWithPadding(double xsigma, double ysigma, VoxelType padding_value) in GaussianBlurringWithPadding() argument 43 GaussianBlurringWithPadding<VoxelType>(xsigma, ysigma, 0., 0., padding_value) in GaussianBlurringWithPadding() 49 ::GaussianBlurringWithPadding(double xsigma, double ysigma, double zsigma, VoxelType padding_value) in GaussianBlurringWithPadding() argument 51 GaussianBlurringWithPadding<VoxelType>(xsigma, ysigma, zsigma, 0., padding_value) in GaussianBlurringWithPadding() 57 ::GaussianBlurringWithPadding(double xsigma, double ysigma, double zsigma, double tsigma, VoxelType… in GaussianBlurringWithPadding() argument 59 GaussianBlurring<VoxelType>(xsigma, ysigma, zsigma, tsigma) in GaussianBlurringWithPadding()
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H A D | GaussianBlurring.cc | 41 GaussianBlurring<VoxelType>::GaussianBlurring(double xsigma, double ysigma, double zsigma, double t… in GaussianBlurring() argument 43 _SigmaX(xsigma), in GaussianBlurring() 66 void GaussianBlurring<VoxelType>::SetSigma(double xsigma, double ysigma, double zsigma, double tsig… in SetSigma() argument 68 _SigmaX = xsigma; in SetSigma()
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H A D | GaussianBlurring2D.cc | 41 GaussianBlurring2D<VoxelType>::GaussianBlurring2D(double xsigma, double ysigma) in GaussianBlurring2D() argument 43 GaussianBlurring<VoxelType>(xsigma, ysigma, .0, .0) in GaussianBlurring2D()
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H A D | GaussianBlurringWithPadding2D.cc | 43 ::GaussianBlurringWithPadding2D(double xsigma, double ysigma, VoxelType padding_value) in GaussianBlurringWithPadding2D() argument 45 GaussianBlurringWithPadding<VoxelType>(xsigma, ysigma, .0, .0, padding_value) in GaussianBlurringWithPadding2D()
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H A D | GaussianBlurring4D.cc | 42 ::GaussianBlurring4D(double xsigma, double ysigma, double zsigma, double tsigma) in GaussianBlurring4D() argument 44 GaussianBlurring<VoxelType>(xsigma, ysigma, zsigma, tsigma) in GaussianBlurring4D()
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/dports/math/gsl/gsl-2.7/doc/examples/ |
H A D | impulse.c | 19 gsl_vector *xsigma = gsl_vector_alloc(N); /* window scale estimates */ in main() local 39 xmedian, xsigma, &noutlier, ioutlier, w); in main() 47 double xsigmai = gsl_vector_get(xsigma, i); in main() 62 gsl_vector_free(xsigma); in main()
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/dports/math/py-pygsl/pygsl-2.3.0/tests/ |
H A D | histogram_test.py | 261 xsigma=0.3 265 my_dist=lambda x,y:math.exp((((x-xmean)/xsigma)**2\ 266 -2*cov*((x-xmean)/xsigma)*((y-ymean)/ysigma)\ 269 /(2.0*math.pi*xsigma*ysigma*math.sqrt(1-cov**2)) 280 self.failIf(abs(hist.xsigma()-xsigma)>2.0/hist.nx()) 282 self.failIf(abs(hist.cov()/(hist.xsigma()*hist.ysigma())-cov)>2.0/hist.nx())
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/dports/science/py-scikit-fuzzy/scikit-fuzzy-0.4.2/docs/source/auto_examples/ |
H A D | plot_cmeans.py | 45 for i, ((xmu, ymu), (xsigma, ysigma)) in enumerate(zip(centers, sigmas)): 46 xpts = np.hstack((xpts, np.random.standard_normal(200) * xsigma + xmu))
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/dports/science/py-scikit-fuzzy/scikit-fuzzy-0.4.2/docs/examples/ |
H A D | plot_cmeans.py | 45 for i, ((xmu, ymu), (xsigma, ysigma)) in enumerate(zip(centers, sigmas)): 46 xpts = np.hstack((xpts, np.random.standard_normal(200) * xsigma + xmu))
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/dports/math/py-mpmath/mpmath-1.2.1/mpmath/functions/ |
H A D | rszeta.py | 255 xsigma = ctx._re(s) 256 ysigma = 1 - xsigma 261 xasigma = a ** xsigma 281 if xsigma > 0: 283 xc = math.pow(9,xsigma)/4.44288 285 xA = math.pow(9,xsigma) 289 xc = math.pow(2,-xsigma)/4.44288 290 xA = math.pow(2,-xsigma) 323 if ((3*xL >= 2*a*a/25.) or (3*xL+2+xsigma<0) or (abs(xsigma) > a/2.) or \ 444 xpsigma = 1-(2*xsigma) [all …]
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/dports/audio/praat/praat-6.2.03/external/gsl/ |
H A D | gsl_histogram__stat2d.c | 178 double xsigma = sqrt (wvariance); in gsl_histogram2d_xsigma() local 179 return xsigma; in gsl_histogram2d_xsigma()
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/dports/math/gsl/gsl-2.7/histogram/ |
H A D | stat2d.c | 177 double xsigma = sqrt (wvariance); in gsl_histogram2d_xsigma() local 178 return xsigma; in gsl_histogram2d_xsigma()
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H A D | test2d.c | 465 const double xsigma = 0.1; in test2d() local 469 10.0 / M_PI / xsigma / ysigma / sqrt (1.0 - correl * correl); in test2d() 478 ((h3->xrange[xbin] + h3->xrange[xbin + 1]) / 2.0 - xmean) / xsigma; in test2d() 499 gsl_test_abs (xs, xsigma, 2.0/M, in test2d()
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/dports/astro/siril/siril/src/algos/ |
H A D | quantize.c | 95 double xmean = 0., xsigma = 0., xnoise = 0., xnoise2 = 0., xnoise3 = 0., in siril_fits_img_stats_ushort() local 101 &xsigma, status); in siril_fits_img_stats_ushort() 108 *sigma = xsigma; in siril_fits_img_stats_ushort() 165 double xmean = 0., xsigma = 0., xnoise = 0., xnoise2 = 0., xnoise3 = 0., in siril_fits_img_stats_float() local 171 &xsigma, status); in siril_fits_img_stats_float() 178 *sigma = xsigma; in siril_fits_img_stats_float()
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/dports/math/p5-Math-GSL/Math-GSL-0.43/t/ |
H A D | Histogram2D.t | 206 my $xsigma = gsl_histogram2d_xsigma($self->{H}); 208 is_similar(42, $xsigma, 1e-8, 'gsl_histogram2d_xsigma');
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/dports/astro/oskar/OSKAR-2.8.0/extern/cfitsio/ |
H A D | quantize.c | 487 double xmean = 0., xsigma = 0., xnoise = 0., xnoise2 = 0., xnoise3 = 0., xnoise5 = 0.; in fits_img_stats_short() local 492 &ngood, &xmean, &xsigma, status); in fits_img_stats_short() 496 if (sigma) *sigma = xsigma; in fits_img_stats_short() 546 double xmean = 0., xsigma = 0., xnoise = 0., xnoise2 = 0., xnoise3 = 0., xnoise5 = 0.; in fits_img_stats_int() local 551 &ngood, &xmean, &xsigma, status); in fits_img_stats_int() 555 if (sigma) *sigma = xsigma; in fits_img_stats_int() 605 double xmean = 0., xsigma = 0., xnoise = 0., xnoise2 = 0., xnoise3 = 0., xnoise5 = 0.; in fits_img_stats_float() local 610 &ngood, &xmean, &xsigma, status); in fits_img_stats_float() 614 if (sigma) *sigma = xsigma; in fits_img_stats_float()
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/dports/astro/cfitsio/cfitsio-3.49/ |
H A D | quantize.c | 487 double xmean = 0., xsigma = 0., xnoise = 0., xnoise2 = 0., xnoise3 = 0., xnoise5 = 0.; in fits_img_stats_short() local 492 &ngood, &xmean, &xsigma, status); in fits_img_stats_short() 496 if (sigma) *sigma = xsigma; in fits_img_stats_short() 546 double xmean = 0., xsigma = 0., xnoise = 0., xnoise2 = 0., xnoise3 = 0., xnoise5 = 0.; in fits_img_stats_int() local 551 &ngood, &xmean, &xsigma, status); in fits_img_stats_int() 555 if (sigma) *sigma = xsigma; in fits_img_stats_int() 605 double xmean = 0., xsigma = 0., xnoise = 0., xnoise2 = 0., xnoise3 = 0., xnoise5 = 0.; in fits_img_stats_float() local 610 &ngood, &xmean, &xsigma, status); in fits_img_stats_float() 614 if (sigma) *sigma = xsigma; in fits_img_stats_float()
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/dports/science/healpix/Healpix_3.50/src/healpy/cfitsio/ |
H A D | quantize.c | 484 double xmean = 0., xsigma = 0., xnoise = 0., xnoise2 = 0., xnoise3 = 0., xnoise5 = 0.; in fits_img_stats_short() local 489 &ngood, &xmean, &xsigma, status); in fits_img_stats_short() 493 if (sigma) *sigma = xsigma; in fits_img_stats_short() 543 double xmean = 0., xsigma = 0., xnoise = 0., xnoise2 = 0., xnoise3 = 0., xnoise5 = 0.; in fits_img_stats_int() local 548 &ngood, &xmean, &xsigma, status); in fits_img_stats_int() 552 if (sigma) *sigma = xsigma; in fits_img_stats_int() 602 double xmean = 0., xsigma = 0., xnoise = 0., xnoise2 = 0., xnoise3 = 0., xnoise5 = 0.; in fits_img_stats_float() local 607 &ngood, &xmean, &xsigma, status); in fits_img_stats_float() 611 if (sigma) *sigma = xsigma; in fits_img_stats_float()
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/dports/astro/py-astropy/astropy-5.0/cextern/cfitsio/lib/ |
H A D | quantize.c | 487 double xmean = 0., xsigma = 0., xnoise = 0., xnoise2 = 0., xnoise3 = 0., xnoise5 = 0.; in fits_img_stats_short() local 492 &ngood, &xmean, &xsigma, status); in fits_img_stats_short() 496 if (sigma) *sigma = xsigma; in fits_img_stats_short() 546 double xmean = 0., xsigma = 0., xnoise = 0., xnoise2 = 0., xnoise3 = 0., xnoise5 = 0.; in fits_img_stats_int() local 551 &ngood, &xmean, &xsigma, status); in fits_img_stats_int() 555 if (sigma) *sigma = xsigma; in fits_img_stats_int() 605 double xmean = 0., xsigma = 0., xnoise = 0., xnoise2 = 0., xnoise3 = 0., xnoise5 = 0.; in fits_img_stats_float() local 610 &ngood, &xmean, &xsigma, status); in fits_img_stats_float() 614 if (sigma) *sigma = xsigma; in fits_img_stats_float()
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/dports/math/py-pygsl/pygsl-2.3.0/src/histogram/ |
H A D | histogram_doc.ic | 23 static const char cc_xsigma [] = "xsigma";
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