/external/ceres-solver/internal/ceres/ |
H A D | loss_function.cc | 40 void TrivialLoss::Evaluate(double s, double rho[3]) const { 41 rho[0] = s; 42 rho[1] = 1; 43 rho[2] = 0; 46 void HuberLoss::Evaluate(double s, double rho[3]) const { 51 rho[0] = 2 * a_ * r - b_; 52 rho[1] = a_ / r; 53 rho[2] = - rho[1] / (2 * s); 56 rho[ [all...] |
H A D | corrector.cc | 40 Corrector::Corrector(double sq_norm, const double rho[3]) { argument 42 CHECK_GT(rho[1], 0.0); 43 sqrt_rho1_ = sqrt(rho[1]); 47 // of rho. Handling this case explicitly avoids the divide by zero 50 // The case where rho'' < 0 also gets special handling. Technically 53 // curvature correction when rho'' < 0, which is the case when we 60 // square root of the derivative of rho, and the Gauss-Newton 81 if ((sq_norm == 0.0) || (rho[2] <= 0.0)) { 89 // 0.5 * alpha^2 - alpha - rho'' / rho' * [all...] |
H A D | loss_function_test.cc | 44 // Compares the values of rho'(s) and rho''(s) computed by the 46 // of rho(s). 50 // Evaluate rho(s), rho'(s) and rho''(s). 51 double rho[3]; local 52 loss.Evaluate(s, rho); 54 // Use symmetric finite differencing to estimate rho'(s) and 55 // rho''( 122 double rho[3]; local 200 double rho[3]; local [all...] |
H A D | corrector_test.cc | 44 // If rho[1] is zero, the Corrector constructor should crash. 51 // If rho[1] is negative, the Corrector constructor should crash. 65 // In light of the rho'' < 0 clamping now implemented in 66 // corrector.cc, alpha = 0 whenever rho'' < 0. 121 // rho[2] < 0 -> alpha = 0.0 130 // sqrt(rho[1]) * (1 - alpha) * J. 148 double rho[3]; local 178 rho[0] = sq_norm; 179 rho[1] = RandDouble(); 180 rho[ 216 double rho[3]; local [all...] |
H A D | corrector.h | 60 // rho[1] needs to be positive. The constructor will crash if this 66 explicit Corrector(double sq_norm, const double rho[3]); 68 // residuals *= sqrt(rho[1]) / (1 - alpha) 71 // jacobian = sqrt(rho[1]) * jacobian - 72 // sqrt(rho[1]) * alpha / sq_norm * residuals residuals' * jacobian.
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H A D | conjugate_gradients_solver.cc | 110 double rho = 1.0; local 128 double last_rho = rho; 129 rho = r.dot(z); 131 if (IsZeroOrInfinity(rho)) { 132 LOG(ERROR) << "Numerical failure. rho = " << rho; 140 double beta = rho / last_rho; 160 double alpha = rho / pq;
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H A D | residual_block.cc | 163 double rho[3]; local 164 loss_function_->Evaluate(squared_norm, rho); 165 *cost = 0.5 * rho[0]; 175 Corrector correct(squared_norm, rho);
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H A D | c_api.cc | 104 virtual void Evaluate(double sq_norm, double* rho) const { 105 (*loss_function_)(user_data_, sq_norm, rho);
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/external/dropbear/libtommath/ |
H A D | bn_mp_montgomery_setup.c | 20 mp_montgomery_setup (mp_int * n, mp_digit * rho) argument 50 /* rho = -1/m mod b */ 51 *rho = (unsigned long)(((mp_word)1 << ((mp_word) DIGIT_BIT)) - x) & MP_MASK;
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H A D | bn_mp_montgomery_reduce.c | 20 mp_montgomery_reduce (mp_int * x, mp_int * n, mp_digit rho) argument 35 return fast_mp_montgomery_reduce (x, n, rho); 47 /* mu = ai * rho mod b 49 * The value of rho must be precalculated via 55 mu = (mp_digit) (((mp_word)x->dp[ix]) * ((mp_word)rho) & MP_MASK);
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H A D | bn_fast_mp_montgomery_reduce.c | 26 int fast_mp_montgomery_reduce (mp_int * x, mp_int * n, mp_digit rho) argument 76 mu = (mp_digit) (((W[ix] & MP_MASK) * rho) & MP_MASK);
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/external/ceres-solver/include/ceres/ |
H A D | loss_function.h | 91 // function (rho in this example): 93 // out[0] = rho(sq_norm), 94 // out[1] = rho'(sq_norm), 95 // out[2] = rho''(sq_norm), 98 // cost function is given by 1/2 rho(s), where 105 // Most sane choices of rho() satisfy: 107 // rho(0) = 0, 108 // rho'(0) = 1, 109 // rho'(s) < 1 in outlier region, 110 // rho''( 313 ScaledLoss(const LossFunction* rho, double a, Ownership ownership) argument 367 LossFunctionWrapper(LossFunction* rho, Ownership ownership) argument 382 Reset(LossFunction* rho, Ownership ownership) argument [all...] |
/external/eigen/unsupported/Eigen/src/IterativeSolvers/ |
H A D | ConstrainedConjGrad.h | 62 Scalar rho, rho_1, alpha; local 69 rho = 1.0; 74 while (rho >= 1e-38) 79 alpha = rho / p.dot(q); 82 rho_1 = rho; 83 rho = r.dot(r); 84 p = (rho/rho_1) * p + r; 114 Scalar rho = 1.0, rho_1, lambda, gamma; local 157 rho_1 = rho; 158 rho [all...] |
/external/iproute2/netem/ |
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 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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H A D | maketable.c | 51 arraystats(double *x, int limit, double *mu, double *sigma, double *rho) argument 70 *rho = top/sigma2; 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);
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/external/ceres-solver/examples/ |
H A D | fields_of_experts.cc | 78 void FieldsOfExpertsLoss::Evaluate(double sq_norm, double rho[3]) const { 83 rho[0] = alpha_ * log(sum); 84 rho[1] = alpha_ * c * inv; 85 rho[2] = - alpha_ * c * c * inv * inv;
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/external/chromium_org/third_party/mesa/src/src/mesa/drivers/dri/i965/ |
H A D | brw_lower_texture_gradients.cpp | 127 /* Calculate rho from equation 3.20 of the GL 3.0 specification. */ 128 ir_rvalue *rho; local 130 rho = expr(ir_binop_max, expr(ir_unop_abs, dPdx), 133 rho = expr(ir_binop_max, expr(ir_unop_sqrt, dot(dPdx, dPdx)), 137 /* lambda_base = log2(rho). We're ignoring GL state biases for now. */ 139 ir->lod_info.lod = expr(ir_unop_log2, rho);
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/external/mesa3d/src/mesa/drivers/dri/i965/ |
H A D | brw_lower_texture_gradients.cpp | 127 /* Calculate rho from equation 3.20 of the GL 3.0 specification. */ 128 ir_rvalue *rho; local 130 rho = expr(ir_binop_max, expr(ir_unop_abs, dPdx), 133 rho = expr(ir_binop_max, expr(ir_unop_sqrt, dot(dPdx, dPdx)), 137 /* lambda_base = log2(rho). We're ignoring GL state biases for now. */ 139 ir->lod_info.lod = expr(ir_unop_log2, rho);
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/external/eigen/Eigen/src/IterativeLinearSolvers/ |
H A D | BiCGSTAB.h | 46 Scalar rho = 1; local 61 Scalar rho_old = rho; 63 rho = r0.dot(r); 64 if (rho == Scalar(0)) return false; /* New search directions cannot be found */ 65 Scalar beta = (rho/rho_old) * (alpha / w); 72 alpha = rho / r0.dot(v);
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/external/opencv/cv/src/ |
H A D | 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, argument 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 an 191 icvHoughLinesSDiv( const CvMat* img, float rho, float theta, int threshold, int srn, int stn, CvSeq* lines, int linesMax ) argument 483 icvHoughLinesProbabalistic( CvMat* image, float rho, float theta, int threshold, int lineLength, int lineGap, CvSeq *lines, int linesMax ) argument 740 cvHoughLines2( CvArr* src_image, void* lineStorage, int method, double rho, double theta, int threshold, double param1, double param2 ) argument [all...] |
/external/chromium_org/third_party/mesa/src/src/gallium/auxiliary/gallivm/ |
H A D | lp_bld_sample.c | 178 * Generate code to compute coordinate gradient (rho). 181 * The resulting rho is scalar per quad. 203 LLVMValueRef rho; local 289 rho = rho_vec; 306 rho = lp_build_max(coord_bld, rho_s, rho_t); 314 rho = lp_build_max(coord_bld, rho, rho_r); 318 rho = lp_build_pack_aos_scalars(bld->gallivm, coord_bld->type, 319 perquadf_bld->type, rho); 328 rho 431 lp_build_brilinear_rho(struct lp_build_context *bld, LLVMValueRef rho, double factor, LLVMValueRef *out_lod_ipart, LLVMValueRef *out_lod_fpart) argument 523 LLVMValueRef rho; local [all...] |
/external/mesa3d/src/gallium/auxiliary/gallivm/ |
H A D | lp_bld_sample.c | 178 * Generate code to compute coordinate gradient (rho). 181 * The resulting rho is scalar per quad. 203 LLVMValueRef rho; local 289 rho = rho_vec; 306 rho = lp_build_max(coord_bld, rho_s, rho_t); 314 rho = lp_build_max(coord_bld, rho, rho_r); 318 rho = lp_build_pack_aos_scalars(bld->gallivm, coord_bld->type, 319 perquadf_bld->type, rho); 328 rho 431 lp_build_brilinear_rho(struct lp_build_context *bld, LLVMValueRef rho, double factor, LLVMValueRef *out_lod_ipart, LLVMValueRef *out_lod_fpart) argument 523 LLVMValueRef rho; local [all...] |
/external/bouncycastle/bcprov/src/main/java/org/bouncycastle/math/ec/ |
H A D | WTauNafMultiplier.java | 35 ZTauElement rho = Tnaf.partModReduction(k, m, a, s, mu, (byte)10); 37 return multiplyWTnaf(p, rho, preCompInfo, a, mu);
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/external/eigen/bench/ |
H A D | eig33.cpp | 76 Scalar rho = internal::sqrt(-a_over_3); local 80 roots(0) = c2_over_3 + Scalar(2)*rho*cos_theta; 81 roots(1) = c2_over_3 - rho*(cos_theta + s_sqrt3*sin_theta); 82 roots(2) = c2_over_3 - rho*(cos_theta - s_sqrt3*sin_theta);
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/external/webrtc/src/modules/audio_coding/codecs/isac/main/source/ |
H A D | filter_functions.c | 132 double rho=0.9, *inp, *dp, *dp2; local 169 WebRtcIsac_BwExpand(apolr, apol, rho, PITCH_WLPCORDER+1);
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