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 Aliases

• _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