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Searched
refs:BFGS
(Results
1 - 4
of
4
) sorted by null
/external/ceres-solver/internal/ceres/
line_search_direction.cc
117
<< "Ceres bug: NextDirection() called on L-
BFGS
after inverse Hessian "
130
LOG(WARNING) << "Numerical failure in L-
BFGS
update: inverse Hessian "
146
class
BFGS
: public LineSearchDirection {
148
BFGS
(const int num_parameters,
155
<< "
BFGS
line search being created with: " << num_parameters_
158
<< ", consider using the L-
BFGS
memory-efficient line search direction "
165
virtual ~
BFGS
() {}
171
<< "Ceres bug: NextDirection() called on
BFGS
after inverse Hessian "
180
VLOG(2) << "Skipping
BFGS
Update, delta_x_dot_delta_gradient too "
222
// Efficient O(num_parameters^2)
BFGS
update [2]
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types.cc
186
CASESTR(
BFGS
);
198
STRENUM(
BFGS
);
solver_impl.cc
652
if ((original_options.line_search_direction_type == ceres::
BFGS
||
657
"ceres::WOLFE when using (L)
BFGS
to ensure that underlying "
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/external/ceres-solver/include/ceres/
types.h
177
//
BFGS
, and it's limited memory approximation L-
BFGS
, are quasi-Newton
186
// remaining degrees-of-freedom. (L)
BFGS
methods uniquely deteremine the
191
// (L)
BFGS
& DFP). (L)
BFGS
is currently regarded as being the best known
194
// The principal difference between
BFGS
and L-
BFGS
is that whilst
BFGS
195
// maintains a full, dense approximation to the (inverse) Hessian, L-
BFGS
203
// For more details on
BFGS
see
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