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  /external/ceres-solver/internal/ceres/
corrector_test.cc 61 double sq_norm = residuals * residuals; local
63 const double kRho[] = {sq_norm, 0.1, -0.01};
78 Corrector c(sq_norm, kRho);
89 double sq_norm = residuals * residuals; local
92 Corrector c(sq_norm, kRho);
117 double sq_norm = residuals * residuals; local
134 Corrector c(sq_norm, kRho);
176 const double sq_norm = res.dot(res); local
178 rho[0] = sq_norm;
186 const double kD = 1 + 2 * rho[2] / rho[1] * sq_norm;
245 const double sq_norm = res.dot(res); local
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corrector.cc 40 Corrector::Corrector(double sq_norm, const double rho[3]) {
41 CHECK_GE(sq_norm, 0.0);
45 // If sq_norm = 0.0, the correction becomes trivial, the residual
81 if ((sq_norm == 0.0) || (rho[2] <= 0.0)) {
92 const double D = 1.0 + 2.0 * sq_norm * rho[2] / rho[1];
101 alpha_sq_norm_ = alpha / sq_norm;
corrector.h 66 explicit Corrector(double sq_norm, const double rho[3]);
72 // sqrt(rho[1]) * alpha / sq_norm * residuals residuals' * jacobian.
c_api.cc 104 virtual void Evaluate(double sq_norm, double* rho) const {
105 (*loss_function_)(user_data_, sq_norm, rho);
  /external/ceres-solver/include/ceres/
loss_function.h 89 // For a residual vector with squared 2-norm 'sq_norm', this method
93 // out[0] = rho(sq_norm),
94 // out[1] = rho'(sq_norm),
95 // out[2] = rho''(sq_norm),
113 virtual void Evaluate(double sq_norm, double out[3]) const = 0;
377 virtual void Evaluate(double sq_norm, double out[3]) const {
379 rho_->Evaluate(sq_norm, out);
  /external/ceres-solver/examples/
fields_of_experts.cc 78 void FieldsOfExpertsLoss::Evaluate(double sq_norm, double rho[3]) const {
80 const double sum = 1.0 + sq_norm * c;

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