Package gov.nih.mipav.model.algorithms

Class CeresSolver.MinimizerOptions

java.lang.Object
gov.nih.mipav.model.algorithms.CeresSolver.MinimizerOptions
Enclosing class:
CeresSolver
class CeresSolver.MinimizerOptions extends Object

  • Field Details

    • max_num_iterations

      public int max_num_iterations

    • max_solver_time_in_seconds

      public double max_solver_time_in_seconds

    • num_threads

      public int num_threads

    • max_step_solver_retries

      public int max_step_solver_retries

    • gradient_tolerance

      public double gradient_tolerance

    • parameter_tolerance

      public double parameter_tolerance

    • function_tolerance

      public double function_tolerance

    • min_relative_decrease

      public double min_relative_decrease

    • eta

      public double eta

    • jacobi_scaling

      public boolean jacobi_scaling

    • use_nonmonotonic_steps

      public boolean use_nonmonotonic_steps

    • max_consecutive_nonmonotonic_steps

      public int max_consecutive_nonmonotonic_steps

    • trust_region_minimizer_iterations_to_dump

      public Vector<Integer> trust_region_minimizer_iterations_to_dump

    • trust_region_problem_dump_format_type

      public CeresSolver.DumpFormatType trust_region_problem_dump_format_type

    • trust_region_problem_dump_directory

      public String trust_region_problem_dump_directory

    • max_num_consecutive_invalid_steps

      public int max_num_consecutive_invalid_steps

    • min_trust_region_radius

      public double min_trust_region_radius

    • line_search_direction_type

      public CeresSolver.LineSearchDirectionType line_search_direction_type

    • line_search_type

      public CeresSolver.LineSearchType line_search_type

    • nonlinear_conjugate_gradient_type

      public CeresSolver.NonlinearConjugateGradientType nonlinear_conjugate_gradient_type

    • max_lbfgs_rank

      public int max_lbfgs_rank

    • use_approximate_eigenvalue_bfgs_scaling

      public boolean use_approximate_eigenvalue_bfgs_scaling

    • line_search_interpolation_type

      public CeresSolver.LineSearchInterpolationType line_search_interpolation_type

    • min_line_search_step_size

      public double min_line_search_step_size

    • line_search_sufficient_function_decrease

      public double line_search_sufficient_function_decrease

    • max_line_search_step_contraction

      public double max_line_search_step_contraction

    • min_line_search_step_contraction

      public double min_line_search_step_contraction

    • max_num_line_search_step_size_iterations

      public int max_num_line_search_step_size_iterations

    • max_num_line_search_direction_restarts

      public int max_num_line_search_direction_restarts

    • line_search_sufficient_curvature_decrease

      public double line_search_sufficient_curvature_decrease

    • max_line_search_step_expansion

      public double max_line_search_step_expansion

    • inner_iteration_tolerance

      public double inner_iteration_tolerance

    • is_silent

      public boolean is_silent

    • is_constrained

      public boolean is_constrained

    • callbacks

      Vector<CeresSolver.IterationCallback> callbacks

    • evaluator

      CeresSolver.Evaluator evaluator

    • trust_region_strategy

      CeresSolver.TrustRegionStrategy trust_region_strategy

    • jacobian

      CeresSolver.SparseMatrix jacobian

    • inner_iteration_minimizer

      CeresSolver.CoordinateDescentMinimizer inner_iteration_minimizer

  • Constructor Details

  • Method Details