/external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/direct/ |
H A D | NelderMead.java | 45 private final double sigma; field in class:NelderMead 49 * for both gamma and sigma.</p> 55 this.sigma = 0.5; 62 * @param sigma shrinkage coefficient 65 final double gamma, final double sigma) { 69 this.sigma = sigma; 171 x[j] = xSmallest[j] + sigma * (x[j] - xSmallest[j]); 64 NelderMead(final double rho, final double khi, final double gamma, final double sigma) argument
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/external/eigen/test/eigen2/ |
H A D | eigen2_svd.cpp | 34 MatrixType sigma = MatrixType::Zero(rows,cols); local 36 sigma.block(0,0,cols,cols) = svd.singularValues().asDiagonal(); 38 VERIFY_IS_APPROX(a, matU * sigma * svd.matrixV().transpose());
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/external/iproute2/netem/ |
H A D | normal.c | 18 normal(double x, double mu, double sigma) argument 20 return .5 + .5*erf((x-mu)/(sqrt(2.0)*sigma));
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H A D | paretonormal.c | 27 normal(double x, double mu, double sigma) argument 29 return .5 + .5*erf((x-mu)/(sqrt(2.0)*sigma));
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H A D | stats.c | 24 double mu=0.0, sigma=0.0, sumsquare=0.0, sum=0.0, top=0.0, rho=0.0; local 44 sigma = sqrt((sumsquare - (double)n*mu*mu)/(double)(n-1)); 54 printf("sigma = %12.6f\n", sigma); 57 /*printf("correlation rho = %10.6f\n", top/((double)(n-1)*sigma*sigma));*/
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H A D | maketable.c | 51 arraystats(double *x, int limit, double *mu, double *sigma, double *rho) argument 63 *sigma = sqrt((sumsquare - (double)n*(*mu)*(*mu))/(double)(n-1)); 93 makedist(double *x, int limit, double mu, double sigma) argument 107 input = (x[i]-mu)/sigma; 200 double mu, sigma, rho; local 219 arraystats(x, limit, &mu, &sigma, &rho); 221 fprintf(stderr, "%d values, mu %10.4f, sigma %10.4f, rho %10.4f\n", 222 limit, mu, sigma, rho); 225 table = makedist(x, limit, mu, sigma);
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/external/skia/gm/ |
H A D | spritebitmap.cpp | 81 SkScalar sigma = 8; variable 82 SkAutoTUnref<SkImageFilter> filter(SkBlurImageFilter::Create(sigma, sigma));
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H A D | samplerstress.cpp | 87 const SkScalar sigma = 1; local 88 fMaskFilter.reset(SkBlurMaskFilter::Create(kNormal_SkBlurStyle, sigma));
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/external/skia/bench/ |
H A D | RectoriBench.cpp | 73 SkLayerDrawLooper* createLooper(SkScalar xOff, SkScalar sigma) { argument 89 sigma,
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/external/apache-commons-math/src/main/java/org/apache/commons/math/random/ |
H A D | RandomData.java | 177 * <li><code>sigma > 0</code> (otherwise an IllegalArgumentException 181 * @param sigma Standard deviation of the distribution 183 * standard deviation = sigma 185 double nextGaussian(double mu, double sigma); argument
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H A D | ValueServer.java | 43 * standard deviation = <code>sigma</code></li> 63 /** Gaussian random deviates with mean = μ, std dev = σ. */ 79 private double sigma = 0.0; field in class:ValueServer 196 sigma = empiricalDistribution.getSampleStats().getStandardDeviation(); 288 /** Getter for property sigma. 289 * @return Value of property sigma. 292 return sigma; 295 /** Setter for property sigma. 296 * @param sigma New value of property sigma 298 setSigma(double sigma) argument [all...] |
/external/boringssl/src/crypto/chacha/ |
H A D | chacha_generic.c | 26 /* sigma contains the ChaCha constants, which happen to be an ASCII string. */ 27 static const uint8_t sigma[16] = { 'e', 'x', 'p', 'a', 'n', 'd', ' ', '3', variable 101 input[0] = U8TO32_LITTLE(sigma + 0); 102 input[1] = U8TO32_LITTLE(sigma + 4); 103 input[2] = U8TO32_LITTLE(sigma + 8); 104 input[3] = U8TO32_LITTLE(sigma + 12);
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/external/skia/src/effects/ |
H A D | SkBlurDrawLooper.cpp | 20 SkBlurDrawLooper::SkBlurDrawLooper(SkColor color, SkScalar sigma, argument 22 this->init(sigma, dx, dy, color, flags); 54 void SkBlurDrawLooper::init(SkScalar sigma, SkScalar dx, SkScalar dy, argument 56 fSigma = sigma; 67 const SkScalar sigma = buffer.readScalar(); local 71 return Create(color, sigma, dx, dy, flags);
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H A D | SkDropShadowImageFilter.cpp | 76 SkVector sigma = SkVector::Make(fSigmaX, fSigmaY); local 77 ctx.ctm().mapVectors(&sigma, 1); 78 sigma.fX = SkMaxScalar(0, sigma.fX); 79 sigma.fY = SkMaxScalar(0, sigma.fY); 80 SkAutoTUnref<SkImageFilter> blurFilter(SkBlurImageFilter::Create(sigma.fX, sigma.fY)); 126 SkVector sigma = SkVector::Make(fSigmaX, fSigmaY); local 127 ctm.mapVectors(&sigma, [all...] |
H A D | SkEmbossMaskFilter.cpp | 79 SkScalar sigma = matrix.mapRadius(fBlurSigma); local 81 if (!SkBlurMask::BoxBlur(dst, src, sigma, kInner_SkBlurStyle, kLow_SkBlurQuality)) { 87 margin->set(SkScalarCeilToInt(3*sigma), SkScalarCeilToInt(3*sigma)); 131 const SkScalar sigma = buffer.readScalar(); local 132 return Create(sigma, light);
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/external/skia/tests/ |
H A D | MaskCacheTest.cpp | 34 SkScalar sigma = 0.8f; local 42 SkCachedData* data = SkMaskCache::FindAndRef(sigma, style, quality, rrect, &mask, &cache); 51 SkMaskCache::Add(sigma, style, quality, rrect, mask, data, &cache); 58 data = SkMaskCache::FindAndRef(sigma, style, quality, rrect, &mask, &cache); 73 SkScalar sigma = 0.8f; local 80 SkCachedData* data = SkMaskCache::FindAndRef(sigma, style, quality, rects, 1, &mask, &cache); 89 SkMaskCache::Add(sigma, style, quality, rects, 1, mask, data, &cache); 96 data = SkMaskCache::FindAndRef(sigma, style, quality, rects, 1, &mask, &cache);
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/external/eigen/Eigen/src/Geometry/ |
H A D | Umeyama.h | 130 const MatrixType sigma = one_over_n * dst_demean * src_demean.transpose(); local 132 JacobiSVD<MatrixType> svd(sigma, ComputeFullU | ComputeFullV); 139 if (sigma.determinant()<Scalar(0)) S(m-1) = Scalar(-1);
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/external/eigen/test/ |
H A D | jacobisvd.cpp | 33 MatrixType sigma = MatrixType::Zero(rows,cols); local 34 sigma.diagonal() = svd.singularValues().template cast<Scalar>(); 38 VERIFY_IS_APPROX(m, u * sigma * v.adjoint());
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H A D | cholesky.cpp | 45 RealScalar sigma = internal::random<RealScalar>(); local 46 symmCpy += sigma * vec * vec.adjoint(); 53 chollo.rankUpdate(vec, sigma); 56 cholup.rankUpdate(vec, sigma);
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/external/eigen/unsupported/test/ |
H A D | svd_common.h | 42 MatrixType sigma = MatrixType::Zero(rows, cols); local 43 sigma.diagonal() = svd.singularValues().template cast<Scalar>(); 46 VERIFY_IS_APPROX(m, u * sigma * v.adjoint());
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/external/skia/include/effects/ |
H A D | SkBlurDrawLooper.h | 38 static SkBlurDrawLooper* Create(SkColor color, SkScalar sigma, SkScalar dx, SkScalar dy, argument 40 return SkNEW_ARGS(SkBlurDrawLooper, (color, sigma, dx, dy, flags)); 53 SkBlurDrawLooper(SkColor color, SkScalar sigma, SkScalar dx, SkScalar dy, 84 void init(SkScalar sigma, SkScalar dx, SkScalar dy, SkColor color, uint32_t flags);
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/external/skia/samplecode/ |
H A D | SampleStrokePath.cpp | 170 SkScalar sigma = SkBlurMask::ConvertRadiusToSigma(SkIntToScalar(4)); variable 173 mf = SkBlurMaskFilter::Create(gStyle[x - 1], sigma); 177 sigma *= 0.75f;
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/external/skia/src/core/ |
H A D | SkMaskCache.cpp | 23 RRectBlurKey(SkScalar sigma, const SkRRect& rrect, SkBlurStyle style, SkBlurQuality quality) argument 24 : fSigma(sigma) 73 SkCachedData* SkMaskCache::FindAndRef(SkScalar sigma, SkBlurStyle style, SkBlurQuality quality, argument 76 RRectBlurKey key(sigma, rrect, style, quality); 86 void SkMaskCache::Add(SkScalar sigma, SkBlurStyle style, SkBlurQuality quality, argument 89 RRectBlurKey key(sigma, rrect, style, quality); 100 RectsBlurKey(SkScalar sigma, SkBlurStyle style, SkBlurQuality quality, argument 102 : fSigma(sigma) 164 SkCachedData* SkMaskCache::FindAndRef(SkScalar sigma, SkBlurStyle style, SkBlurQuality quality, argument 168 RectsBlurKey key(sigma, styl 178 Add(SkScalar sigma, SkBlurStyle style, SkBlurQuality quality, const SkRect rects[], int count, const SkMask& mask, SkCachedData* data, SkResourceCache* localCache) argument [all...] |
/external/v8/test/mjsunit/ |
H A D | cyrillic.js | 43 var sigma = "\u03c3"; variable 53 middle: sigma, // sigma 136 // convert everything to upper case, so the two sigma variants are equal to each 143 assertFalse(new RegExp(regex).test(sigma), 31 + name); 147 assertTrue(new RegExp(regex, "i").test(sigma), 34 + name); 152 regex = simple ? sigma : "[" + sigma + "]"; 154 assertTrue(new RegExp(regex).test(sigma), 41 + name); 158 assertTrue(new RegExp(regex, "i").test(sigma), 4 [all...] |
/external/ceres-solver/examples/ |
H A D | bal_problem.cc | 56 void PerturbPoint3(const double sigma, double* point) { argument 58 point[i] += RandNormal() * sigma;
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