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PANOC-ALM
quadratic-penalty
Nonconvex constrained optimization
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26 std::chrono::microseconds
max_time = std::chrono::minutes(5);
46 10 * std::numeric_limits<real_t>::epsilon();
105 bool always_overwrite_results,
116 std::string
get_name()
const {
return "SecondOrderPANOCSolverLBFGS"; }
131 template <
class InnerSolverStats>
137 unsigned iterations = 0;
138 unsigned linesearch_failures = 0;
139 unsigned lbfgs_failures = 0;
140 unsigned lbfgs_rejected = 0;
141 unsigned τ_1_accepted = 0;
142 unsigned count_τ = 0;
const Params & get_params() const
Stats operator()(const Problem &problem, crvec Σ, real_t ε, bool always_overwrite_results, rvec x, rvec y, rvec err_z)
real_t L_min
Minimum Lipschitz constant estimate.
Eigen::Ref< vec > rvec
Default type for mutable references to vectors.
bool hessian_vec_finited_differences
std::chrono::microseconds elapsed_time
Tuning parameters for the second order PANOC algorithm.
SolverStatus
Exit status of a numerical solver such as ALM or PANOC.
@ BasedOnGradientStepSize
bool full_augmented_hessian
real_t nonmonotone_linesearch
Factor used in update for exponentially weighted nonmonotone line search.
unsigned print_interval
When to print progress.
real_t quadratic_upperbound_tolerance_factor
StructuredPANOCLBFGSSolver & set_progress_callback(std::function< void(const ProgressInfo &)> cb)
InnerStatsAccumulator< PANOCStats > & operator+=(InnerStatsAccumulator< PANOCStats > &acc, const PANOCStats &s)
Second order PANOC solver for ALM.
real_t τ_min
Minimum weight factor between Newton step and projected gradient step.
real_t L_max
Maximum Lipschitz constant estimate.
LBFGSStepSize
Which method to use to select the L-BFGS step size.
LBFGSStepSize lbfgs_stepsize
StructuredPANOCLBFGSSolver(Params params, LBFGSParams lbfgsparams)
Limited memory Broyden–Fletcher–Goldfarb–Shanno (L-BFGS) algorithm.
std::chrono::microseconds max_time
Maximum duration.
unsigned linesearch_failures
Eigen::Ref< const vec > crvec
Default type for immutable references to vectors.
Parameters for the LBFGS and SpecializedLBFGS classes.
LipschitzEstimateParams Lipschitz
Parameters related to the Lipschitz constant estimate and step size.
const StructuredPANOCLBFGSParams & params
AtomicStopSignal stop_signal
PANOCStopCrit stop_crit
What stopping criterion to use.
std::string get_name() const
std::function< void(const ProgressInfo &)> progress_cb
unsigned max_no_progress
Maximum number of iterations without any progress before giving up.
unsigned linesearch_failures
std::chrono::microseconds elapsed_time
double real_t
Default floating point type.
unsigned max_iter
Maximum number of inner PANOC iterations.
Problem description for minimization problems.
bool update_lipschitz_in_linesearch
bool alternative_linesearch_cond