| /external/ImageMagick/MagickWand/ |
| operation.c | 88 flags, info.rho, info.sigma, info.xi, info.psi )
[all...] |
| mogrify.c | 781 geometry_info.sigma=1.0;
783 geometry_info.sigma,exception);
805 geometry_info.sigma=1.0;
807 geometry_info.sigma,exception);
847 geometry_info.sigma=geometry_info.rho;
862 fmod(geometry_info.sigma,360.0))));
864 fmod(geometry_info.sigma,360.0)));
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| /frameworks/native/services/sensorservice/ |
| Fusion.h | 95 void update(const vec3_t& z, const vec3_t& Bi, float sigma);
|
| /external/eigen/Eigen/src/Cholesky/ |
| LDLT.h | 133 * \sa rankUpdate(w,sigma)
404 static bool updateInPlace(MatrixType& mat, MatrixBase<WDerived>& w, const typename MatrixType::RealScalar& sigma=1)
425 RealScalar swj2 = sigma*numext::abs2(wj);
436 mat.col(j).tail(rs) += (sigma*numext::conj(wj)/gamma)*w.tail(rs);
442 static bool update(MatrixType& mat, const TranspositionType& transpositions, Workspace& tmp, const WType& w, const typename MatrixType::RealScalar& sigma=1)
447 return ldlt_inplace<Lower>::updateInPlace(mat,tmp,sigma);
461 static EIGEN_STRONG_INLINE bool update(MatrixType& mat, TranspositionType& transpositions, Workspace& tmp, WType& w, const typename MatrixType::RealScalar& sigma=1)
464 return ldlt_inplace<Lower>::update(matt, transpositions, tmp, w.conjugate(), sigma);
523 /** Update the LDLT decomposition: given A = L D L^T, efficiently compute the decomposition of A + sigma w w^T.
525 * \param sigma a scalar, +1 for updates and -1 for "downdates," which correspond to removing previously-added col (…)
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| /external/ImageMagick/MagickCore/ |
| geometry.c | 817 % ParseGeometry() parses a geometry specification and returns the sigma,
819 % of the four values (sigma, rho, xi, psi) were located in the string, and
875 &coordinate.sigma,&coordinate.xi,&coordinate.psi);
882 geometry_info->sigma=coordinate.sigma;
981 Parse rho, sigma, xi, psi, and optionally chi.
1014 Parse sigma.
1028 geometry_info->sigma=value;
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| gem.c | 1471 sigma; local
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| effect.c | 111 % (sigma). For reasonable results, radius should be larger than sigma. Use a
117 % const double sigma,ExceptionInfo *exception)
126 % o sigma: the standard deviation of the Laplacian, in pixels.
132 const double sigma,ExceptionInfo *exception)
135 #define MagickSigma (fabs(sigma) < MagickEpsilon ? MagickEpsilon : sigma)
179 if (fabs(sigma) < MagickEpsilon)
196 gaussian_image=BlurImage(edge_image,radius,sigma,exception);
204 Create a set of kernels from maximum (radius,sigma) to minimum
2256 sigma, local
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| geometry.h | 106 sigma, member in struct:_GeometryInfo
|
| /external/eigen/Eigen/src/Geometry/ |
| Umeyama.h | 129 const MatrixType sigma = one_over_n * dst_demean * src_demean.transpose(); local
131 JacobiSVD<MatrixType> svd(sigma, ComputeFullU | ComputeFullV);
|
| /external/skia/src/c/ |
| sk_effects.cpp | 180 sk_maskfilter_t* sk_maskfilter_new_blur(sk_blurstyle_t cstyle, float sigma) {
185 return ToMaskFilter(SkBlurMaskFilter::Make(style, sigma).release());
|
| /external/skia/src/core/ |
| SkMaskBlurFilter.cpp | 27 static uint32_t filter_window(double sigma) {
28 auto possibleWindow = static_cast<uint32_t>(floor(sigma * 3 * sqrt(2*kPi)/4 + 0.5));
32 SkMaskBlurFilter::FilterInfo::FilterInfo(double sigma)
33 : fFilterWindow{filter_window(sigma)}
|
| /external/webrtc/webrtc/modules/video_coding/ |
| jitter_estimator.cc | 233 // sigma weights measurements with a small deltaFS as noisy and
238 double sigma = (300.0 * exp(-fabs(static_cast<double>(deltaFSBytes)) / local
242 if (sigma < 1.0) {
243 sigma = 1.0;
245 hMh_sigma = deltaFSBytes * Mh[0] + Mh[1] + sigma;
|
| /external/skia/samplecode/ |
| SampleStrokePath.cpp | 168 SkScalar sigma = SkBlurMask::ConvertRadiusToSigma(SkIntToScalar(4)); variable
171 paint.setMaskFilter(SkBlurMaskFilter::Make(gStyle[x - 1], sigma));
174 sigma *= 0.75f;
|
| /external/v8/tools/ |
| perf-to-html.py | 63 def __init__(self, test_name, count, hasScoreUnits, result, sigma,
66 self.sigma_ = float(sigma)
91 def sigma(self): member in class:Result
|
| /device/linaro/bootloader/edk2/AppPkg/Applications/Python/Python-2.7.10/Lib/ |
| random.py | 386 def normalvariate(self, mu, sigma):
389 mu is the mean, and sigma is the standard deviation.
392 # mu = mean, sigma = standard deviation
407 return mu + z*sigma
411 def lognormvariate(self, mu, sigma):
415 normal distribution with mean mu and standard deviation sigma.
416 mu can have any value, and sigma must be greater than zero.
419 return _exp(self.normalvariate(mu, sigma))
562 def gauss(self, mu, sigma):
565 mu is the mean, and sigma is the standard deviation. This is
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| /device/linaro/bootloader/edk2/AppPkg/Applications/Python/Python-2.7.2/Lib/ |
| random.py | 380 def normalvariate(self, mu, sigma):
383 mu is the mean, and sigma is the standard deviation.
386 # mu = mean, sigma = standard deviation
401 return mu + z*sigma
405 def lognormvariate(self, mu, sigma):
409 normal distribution with mean mu and standard deviation sigma.
410 mu can have any value, and sigma must be greater than zero.
413 return _exp(self.normalvariate(mu, sigma))
560 def gauss(self, mu, sigma):
563 mu is the mean, and sigma is the standard deviation. This is
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| /external/python/cpython2/Lib/ |
| random.py | 386 def normalvariate(self, mu, sigma):
389 mu is the mean, and sigma is the standard deviation.
392 # mu = mean, sigma = standard deviation
407 return mu + z*sigma
411 def lognormvariate(self, mu, sigma):
415 normal distribution with mean mu and standard deviation sigma.
416 mu can have any value, and sigma must be greater than zero.
419 return _exp(self.normalvariate(mu, sigma))
562 def gauss(self, mu, sigma):
565 mu is the mean, and sigma is the standard deviation. This i
[all...] |
| /external/skia/resources/ |
| slides_transitions.lua | 41 local sigma = sqr(1 - alpha) * 20
43 paint:setImageFilter(Sk.newBlurImageFilter(sigma, sigma))
|
| /prebuilts/gdb/darwin-x86/lib/python2.7/ |
| random.py | 380 def normalvariate(self, mu, sigma):
383 mu is the mean, and sigma is the standard deviation.
386 # mu = mean, sigma = standard deviation
401 return mu + z*sigma
405 def lognormvariate(self, mu, sigma):
409 normal distribution with mean mu and standard deviation sigma.
410 mu can have any value, and sigma must be greater than zero.
413 return _exp(self.normalvariate(mu, sigma))
556 def gauss(self, mu, sigma):
559 mu is the mean, and sigma is the standard deviation. This i
[all...] |
| /prebuilts/gdb/linux-x86/lib/python2.7/ |
| random.py | 380 def normalvariate(self, mu, sigma):
383 mu is the mean, and sigma is the standard deviation.
386 # mu = mean, sigma = standard deviation
401 return mu + z*sigma
405 def lognormvariate(self, mu, sigma):
409 normal distribution with mean mu and standard deviation sigma.
410 mu can have any value, and sigma must be greater than zero.
413 return _exp(self.normalvariate(mu, sigma))
556 def gauss(self, mu, sigma):
559 mu is the mean, and sigma is the standard deviation. This i
[all...] |
| /prebuilts/python/darwin-x86/2.7.5/lib/python2.7/ |
| random.py | 380 def normalvariate(self, mu, sigma):
383 mu is the mean, and sigma is the standard deviation.
386 # mu = mean, sigma = standard deviation
401 return mu + z*sigma
405 def lognormvariate(self, mu, sigma):
409 normal distribution with mean mu and standard deviation sigma.
410 mu can have any value, and sigma must be greater than zero.
413 return _exp(self.normalvariate(mu, sigma))
556 def gauss(self, mu, sigma):
559 mu is the mean, and sigma is the standard deviation. This i
[all...] |
| /prebuilts/python/linux-x86/2.7.5/lib/python2.7/ |
| random.py | 380 def normalvariate(self, mu, sigma):
383 mu is the mean, and sigma is the standard deviation.
386 # mu = mean, sigma = standard deviation
401 return mu + z*sigma
405 def lognormvariate(self, mu, sigma):
409 normal distribution with mean mu and standard deviation sigma.
410 mu can have any value, and sigma must be greater than zero.
413 return _exp(self.normalvariate(mu, sigma))
556 def gauss(self, mu, sigma):
559 mu is the mean, and sigma is the standard deviation. This i
[all...] |
| /external/apache-commons-math/src/main/java/org/apache/commons/math/random/ |
| RandomDataImpl.java | 452 * <code>sigma</code>.
456 * @param sigma
459 * @throws NotStrictlyPositiveException if {@code sigma <= 0}.
461 public double nextGaussian(double mu, double sigma) {
462 if (sigma <= 0) {
463 throw new NotStrictlyPositiveException(LocalizedFormats.STANDARD_DEVIATION, sigma);
465 return sigma * getRan().nextGaussian() + mu;
[all...] |
| /external/opencv/cv/src/ |
| cvthresh.cpp | 258 double p_i, q2, mu2, val_i, sigma; local
275 sigma = q1*q2*(mu1 - mu2)*(mu1 - mu2);
276 if( sigma > max_sigma )
278 max_sigma = sigma;
|
| /external/ImageMagick/PerlMagick/ |
| Magick.xs | 222 {"sigma", RealReference}, {"channel", MagickChannelOptions} } },
233 {"sigma", RealReference} } },
248 { "OilPaint", { {"radius", RealReference}, {"sigma", RealReference} } },
263 {"sigma", RealReference}, {"channel", MagickChannelOptions} } },
376 {"sigma", RealReference} } },
388 {"radius", RealReference}, {"sigma", RealReference},
397 {"radius", RealReference}, {"sigma", RealReference},
401 {"radius", RealReference}, {"sigma", RealReference},
441 {"sigma", RealReference}, {"x", IntegerReference},
454 {"sigma", RealReference}, {"x", IntegerReference}
[all...] |
