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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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