/bionic/libm/upstream-freebsd/lib/msun/src/ |
s_ctanh.c | 41 * rho = cosh(x) 55 * beta rho s + I t 78 double t, beta, s, rho, denom; local 133 rho = sqrt(1 + s * s); /* = cosh(x) */ 135 return (CMPLX((beta * rho * s) / denom, t / denom));
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s_ctanhf.c | 43 float t, beta, s, rho, denom; local 73 rho = sqrtf(1 + s * s); 75 return (CMPLXF((beta * rho * s) / denom, t / denom));
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/external/iproute2/netem/ |
stats.c | 24 double mu=0.0, sigma=0.0, sumsquare=0.0, sum=0.0, top=0.0, rho=0.0; local 51 rho = top/sigma2; 55 printf("rho = %12.6f\n", rho); 57 /*printf("correlation rho = %10.6f\n", top/((double)(n-1)*sigma*sigma));*/
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maketable.c | 51 arraystats(double *x, int limit, double *mu, double *sigma, double *rho) 70 *rho = top/sigma2; 202 double mu, sigma, rho; local 221 arraystats(x, limit, &mu, &sigma, &rho); 223 fprintf(stderr, "%d values, mu %10.4f, sigma %10.4f, rho %10.4f\n", 224 limit, mu, sigma, rho);
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/external/bouncycastle/bcprov/src/main/java/org/bouncycastle/math/ec/ |
WTauNafMultiplier.java | 37 ZTauElement rho = Tnaf.partModReduction(k, m, a, s, mu, (byte)10); local 39 return multiplyWTnaf(p, rho, curve.getPreCompInfo(p, PRECOMP_NAME), a, mu);
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Tnaf.java | 609 * @return <code>ρ := k partmod (τ<sup>m</sup> - 1)/(τ - 1)</code> 661 ZTauElement rho = partModReduction(k, m, (byte)a, s, mu, (byte)10); local 663 return multiplyTnaf(p, rho);
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/external/eigen/unsupported/Eigen/src/IterativeSolvers/ |
ConstrainedConjGrad.h | 58 Scalar rho, rho_1, alpha; local 67 rho = 1.0; 72 while (rho >= 1e-38) 77 alpha = rho / p.dot(q); 80 rho_1 = rho; 81 rho = r.dot(r); 82 p = (rho/rho_1) * p + r; 114 Scalar rho = 1.0, rho_1, lambda, gamma; local 157 rho_1 = rho; 158 rho = r.dot(z) [all...] |
/external/opencv/cv/src/ |
_cvlist.h | 367 float rho, theta; member in struct:__index
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cvhough.cpp | 64 float rho; member in struct:CvLinePolar 78 rho and theta are discretization steps (in pixels and radians correspondingly). 81 array of (rho, theta) pairs. linesMax is the buffer size (number of pairs). 85 icvHoughLinesStandard( const CvMat* img, float rho, float theta, 104 float irho = 1 / rho; 115 numrho = cvRound(((width + height) * 2 + 1) / rho); 165 line.rho = (r - (numrho - 1)*0.5f) * rho; 192 float rho, float theta, int threshold, 211 int rn, tn; /* number of rho and theta discrete values * [all...] |
cvimgwarp.cpp | 2178 int phi, rho; local 2237 double rho = bufp.data.fl[x]*M; local [all...] |
/external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/direct/ |
NelderMead.java | 36 private final double rho; field in class:NelderMead 48 * <p>The default coefficients are 1.0 for rho, 2.0 for khi and 0.5 52 this.rho = 1.0; 59 * @param rho reflection coefficient 64 public NelderMead(final double rho, final double khi, 66 this.rho = rho; 105 xR[j] = centroid[j] + rho * (centroid[j] - xWorst[j]);
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/external/eigen/Eigen/src/IterativeLinearSolvers/ |
BiCGSTAB.h | 52 Scalar rho = 1; local 69 Scalar rho_old = rho; 71 rho = r0.dot(r); 72 if (abs(rho) < eps2*r0_sqnorm) 78 rho = r0_sqnorm = r.squaredNorm(); 82 Scalar beta = (rho/rho_old) * (alpha / w); 89 alpha = rho / r0.dot(v);
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/external/eigen/bench/ |
eig33.cpp | 76 Scalar rho = std::sqrt(-a_over_3); local 80 roots(2) = c2_over_3 + Scalar(2)*rho*cos_theta; 81 roots(0) = c2_over_3 - rho*(cos_theta + s_sqrt3*sin_theta); 82 roots(1) = c2_over_3 - rho*(cos_theta - s_sqrt3*sin_theta);
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/external/tensorflow/tensorflow/core/kernels/ |
training_ops_test.cc | 216 auto rho = Scalar(g, 0.9); local 221 {var, ms, mom, lr, rho, momentum, epsilon, grad});
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training_ops.cc | 72 typename TTypes<T>::ConstScalar rho, 76 accum * rho() + grad.square() * (static_cast<T>(1) - rho()); 81 accum_update * rho() + update.square() * (static_cast<T>(1) - rho()); 336 typename TTypes<T>::ConstScalar rho, 340 ms.device(d) += (grad.square() - ms) * (static_cast<T>(1) - rho()); 353 typename TTypes<T>::ConstScalar rho, 357 ms.device(d) += (grad.square() - ms) * (static_cast<T>(1) - rho()); 358 mg.device(d) += (grad - mg) * (static_cast<T>(1) - rho()); 585 const Tensor& rho = ctx->input(4); local 626 const Tensor& rho = ctx->input(4); local 739 const Tensor& rho = ctx->input(4); local 2775 const Tensor& rho = ctx->input(4); variable 2864 const Tensor& rho = ctx->input(5); variable 3015 const Tensor& rho = ctx->input(4); variable 3147 const Tensor& rho = ctx->input(5); variable [all...] |
/external/webrtc/webrtc/modules/audio_coding/codecs/isac/main/source/ |
filter_functions.c | 139 double rho=0.9, *inp, *dp, *dp2; local 176 WebRtcIsac_BwExpand(apolr, apol, rho, PITCH_WLPCORDER+1);
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/external/webrtc/webrtc/modules/audio_processing/intelligibility/ |
intelligibility_enhancer.h | 48 rho(0.02f) {} 57 float rho; member in struct:webrtc::IntelligibilityEnhancer::Config
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/external/ImageMagick/MagickCore/ |
geometry.h | 105 rho, member in struct:_GeometryInfo
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/external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
training_ops.cc | 274 errors::InvalidArgument("rho is not a scalar: ", 301 xla::ComputationDataHandle rho = ctx->Input(4); variable 306 // ms <- rho * ms_{t-1} + (1-rho) * grad * grad 312 // ms <- ms + (grad**2 - ms) * (1 - rho) 316 // ms <- ms + grad**2 - rho * grad ** 2 - ms + ms * rho 320 // ms <- grad**2 (1 - rho) + ms * rho 326 b->Sub(XlaHelpers::FloatLiteral(b, type, 1.0), rho))); [all...] |
/external/eigen/Eigen/src/Eigenvalues/ |
SelfAdjointEigenSolver.h | 595 Scalar rho = sqrt(a_over_3); local 600 roots(0) = c2_over_3 - rho*(cos_theta + s_sqrt3*sin_theta); // == 2*rho*cos(theta+2pi/3) 601 roots(1) = c2_over_3 - rho*(cos_theta - s_sqrt3*sin_theta); // == 2*rho*cos(theta+ pi/3) 602 roots(2) = c2_over_3 + Scalar(2)*rho*cos_theta; [all...] |
/external/mesa3d/src/compiler/nir/ |
nir_lower_tex.c | 540 nir_ssa_def *rho; local 542 rho = nir_fmax(b, nir_fabs(b, dPdx), nir_fabs(b, dPdy)); 544 rho = nir_fmax(b, 549 /* lod = log2(rho). We're ignoring GL state biases for now. */ 550 nir_ssa_def *lod = nir_flog2(b, rho);
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/external/mesa3d/src/mesa/swrast/ |
s_span.c | 425 GLfloat rho = MAX2(x, y); local 426 GLfloat lambda = LOG2(rho); 445 GLfloat maxU, maxV, rho, lambda; 452 rho = MAX2(maxU, maxV); 453 lambda = LOG2(rho); [all...] |
/external/mesa3d/src/gallium/auxiliary/gallivm/ |
lp_bld_sample.c | 203 * Generate code to compute coordinate gradient (rho). 206 * The resulting rho has bld->levelf format (per quad or per element). 232 LLVMValueRef rho; local 245 * rho calcs are always per quad except for explicit derivs (excluding 264 rho = lp_build_pack_aos_scalars(bld->gallivm, coord_bld->type, 268 rho = lp_build_swizzle_scalar_aos(coord_bld, cube_rho, 0, 4); 273 /* skipping sqrt hence returning rho squared */ 275 rho = lp_build_mul(rho_bld, cubesize, rho); 311 rho = lp_build_max(coord_bld, rho_xvec, rho_yvec) 758 LLVMValueRef rho; local [all...] |
/external/mesa3d/src/gallium/drivers/softpipe/ |
sp_tex_sample.c | 501 const float rho = MAX2(dsdx, dsdy) * u_minify(texture->width0, sview->base.u.tex.first_level); local 503 return util_fast_log2(rho); 520 const float rho = MAX2(maxx, maxy); local 522 return util_fast_log2(rho); 542 const float rho = MAX3(maxx, maxy, maxz); local 544 return util_fast_log2(rho); [all...] |
/external/opencv/ml/include/ |
ml.h | 382 double rho; member in struct:CvSVMSolutionInfo 393 typedef void (CvSVMSolver::*CalcRho)( double& rho, double& r ); 463 virtual void calc_rho( double& rho, double& r ); 464 virtual void calc_rho_nu_svm( double& rho, double& r ); 474 double rho; member in struct:CvSVMDecisionFunc 532 CvMemStorage* _storage, double* alpha, double& rho ); [all...] |