[−][src]Crate liblbfgs_sys
Structs
| lbfgs_parameter_t | L-BFGS optimization parameters. Call lbfgs_parameter_init() function to initialize parameters to the default values. |
Constants
| LBFGSERR_CANCELED | The minimization process has been canceled. |
| LBFGSERR_INCORRECT_TMINMAX | A logic error occurred; alternatively, the interval of uncertainty became too small. |
| LBFGSERR_INCREASEGRADIENT | The current search direction increases the objective function value. |
| LBFGSERR_INVALIDPARAMETERS | A logic error (negative line-search step) occurred. |
| LBFGSERR_INVALID_DELTA | Invalid parameter lbfgs_parameter_t::delta specified. |
| LBFGSERR_INVALID_EPSILON | Invalid parameter lbfgs_parameter_t::epsilon specified. |
| LBFGSERR_INVALID_FTOL | Invalid parameter lbfgs_parameter_t::ftol specified. |
| LBFGSERR_INVALID_GTOL | Invalid parameter lbfgs_parameter_t::gtol specified. |
| LBFGSERR_INVALID_LINESEARCH | Invalid parameter lbfgs_parameter_t::linesearch specified. |
| LBFGSERR_INVALID_MAXLINESEARCH | Invalid parameter lbfgs_parameter_t::max_linesearch specified. |
| LBFGSERR_INVALID_MAXSTEP | Invalid parameter lbfgs_parameter_t::max_step specified. |
| LBFGSERR_INVALID_MINSTEP | Invalid parameter lbfgs_parameter_t::max_step specified. |
| LBFGSERR_INVALID_N | Invalid number of variables specified. |
| LBFGSERR_INVALID_N_SSE | Invalid number of variables (for SSE) specified. |
| LBFGSERR_INVALID_ORTHANTWISE | Invalid parameter lbfgs_parameter_t::orthantwise_c specified. |
| LBFGSERR_INVALID_ORTHANTWISE_END | Invalid parameter lbfgs_parameter_t::orthantwise_end specified. |
| LBFGSERR_INVALID_ORTHANTWISE_START | Invalid parameter lbfgs_parameter_t::orthantwise_start specified. |
| LBFGSERR_INVALID_TESTPERIOD | Invalid parameter lbfgs_parameter_t::past specified. |
| LBFGSERR_INVALID_WOLFE | Invalid parameter lbfgs_parameter_t::wolfe specified. |
| LBFGSERR_INVALID_XTOL | Invalid parameter lbfgs_parameter_t::xtol specified. |
| LBFGSERR_INVALID_X_SSE | The array x must be aligned to 16 (for SSE). |
| LBFGSERR_LOGICERROR | Logic error. |
| LBFGSERR_MAXIMUMITERATION | The algorithm routine reaches the maximum number of iterations. |
| LBFGSERR_MAXIMUMLINESEARCH | The line-search routine reaches the maximum number of evaluations. |
| LBFGSERR_MAXIMUMSTEP | The line-search step became larger than lbfgs_parameter_t::max_step. |
| LBFGSERR_MINIMUMSTEP | The line-search step became smaller than lbfgs_parameter_t::min_step. |
| LBFGSERR_OUTOFINTERVAL | The line-search step went out of the interval of uncertainty. |
| LBFGSERR_OUTOFMEMORY | Insufficient memory. |
| LBFGSERR_ROUNDING_ERROR | A rounding error occurred; alternatively, no line-search step satisfies the sufficient decrease and curvature conditions. |
| LBFGSERR_UNKNOWNERROR | Unknown error. |
| LBFGSERR_WIDTHTOOSMALL | Relative width of the interval of uncertainty is at most lbfgs_parameter_t::xtol. |
| LBFGS_ALREADY_MINIMIZED | The initial variables already minimize the objective function. |
| LBFGS_CONVERGENCE | L-BFGS reaches convergence. |
| LBFGS_FLOAT | |
| LBFGS_IEEE_FLOAT | |
| LBFGS_LINESEARCH_BACKTRACKING | The backtracking method with the defualt (regular Wolfe) condition. |
| LBFGS_LINESEARCH_BACKTRACKING_ARMIJO | Backtracking method with the Armijo condition. The backtracking method finds the step length such that it satisfies the sufficient decrease (Armijo) condition, |
| LBFGS_LINESEARCH_BACKTRACKING_STRONG_WOLFE | Backtracking method with strong Wolfe condition. The backtracking method finds the step length such that it satisfies both the Armijo condition (LBFGS_LINESEARCH_BACKTRACKING_ARMIJO) and the following condition, |
| LBFGS_LINESEARCH_BACKTRACKING_WOLFE | Backtracking method with regular Wolfe condition. The backtracking method finds the step length such that it satisfies both the Armijo condition (LBFGS_LINESEARCH_BACKTRACKING_ARMIJO) and the curvature condition, |
| LBFGS_LINESEARCH_DEFAULT | The default algorithm (MoreThuente method). |
| LBFGS_LINESEARCH_MORETHUENTE | MoreThuente method proposd by More and Thuente. |
| LBFGS_STOP | L-BFGS reaches convergence. |
| LBFGS_SUCCESS | L-BFGS reaches convergence. |
Functions
| lbfgs⚠ | Start a L-BFGS optimization. |
| lbfgs_free⚠ | Free an array of variables. |
| lbfgs_malloc⚠ | Allocate an array for variables. |
| lbfgs_parameter_init⚠ | Initialize L-BFGS parameters to the default values. |
| lbfgs_strerror⚠ | Get string description of an lbfgs() return code. |
Type Definitions
| _bindgen_ty_1 | Return values of lbfgs(). |
| _bindgen_ty_2 | Line search algorithms. |
| lbfgs_evaluate_t | Callback interface to provide objective function and gradient evaluations. |
| lbfgs_progress_t | Callback interface to receive the progress of the optimization process. |
| lbfgsfloatval_t |