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    Searched refs:gradient_norm (Results 1 - 5 of 5) sorted by null

  /external/ceres-solver/include/ceres/
iteration_callback.h 54 gradient_norm(0.0),
106 double gradient_norm; member in struct:ceres::IterationSummary
  /frameworks/ml/bordeaux/learning/stochastic_linear_ranker/native/
stochastic_linear_ranker.cpp 38 const double gradient_norm = gradient.L2Norm(); local
41 if (gradient_norm < kMinGradientNorm || gradient_norm > kMaxGradientNorm)
45 std::min(lambda_, loss / (gradient_norm * gradient_norm));
48 loss / (gradient_norm * gradient_norm + 1 / (2 * lambda_));
  /external/ceres-solver/internal/ceres/
line_search_minimizer.cc 128 iteration_summary.gradient_norm = 0.0;
146 iteration_summary.gradient_norm = sqrt(current_state.gradient_squared_norm);
358 iteration_summary.gradient_norm = sqrt(current_state.gradient_squared_norm);
dogleg_strategy.cc 203 const double gradient_norm = gradient_.norm(); local
217 if (gradient_norm * alpha_ >= radius_) {
218 dogleg_step = -(radius_ / gradient_norm) * gradient_;
234 const double a_squared_norm = pow(alpha_ * gradient_norm, 2.0);
trust_region_minimizer.cc 170 iteration_summary.gradient_norm = 0.0;
223 iteration_summary.gradient_norm = (x - projected_gradient_step).norm();
370 iteration_summary.gradient_norm =
371 summary->iterations.back().gradient_norm;
599 iteration_summary.gradient_norm = (x - projected_gradient_step).norm();

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