Package gov.nih.mipav.model.algorithms

Class CeresSolver.TrustRegionMinimizer

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

  • Field Details

    • options_

      private CeresSolver.MinimizerOptions options_

    • parameters_

      private double[] parameters_

    • solver_summary_

      private CeresSolver.SolverSummary solver_summary_

    • evaluator_

      private CeresSolver.Evaluator evaluator_

    • jacobian_

      private CeresSolver.SparseMatrix jacobian_

    • strategy_

      private CeresSolver.TrustRegionStrategy strategy_

    • step_evaluator_

      private CeresSolver.TrustRegionStepEvaluator step_evaluator_

    • is_not_silent_

      private boolean is_not_silent_

    • inner_iterations_are_enabled_

      private boolean inner_iterations_are_enabled_

    • inner_iterations_were_useful_

      private boolean inner_iterations_were_useful_

    • iteration_summary_

      CeresSolver.IterationSummary iteration_summary_

    • num_parameters_

      private int num_parameters_

    • num_effective_parameters_

      private int num_effective_parameters_

    • num_residuals_

      private int num_residuals_

    • x_

      private Vector<Double> x_

    • residuals_

      private Vector<Double> residuals_

    • gradient_

      private Vector<Double> gradient_

    • inner_iteration_x_

      private Vector<Double> inner_iteration_x_

    • model_residuals_

      private Vector<Double> model_residuals_

    • negative_gradient_

      private Vector<Double> negative_gradient_

    • projected_gradient_step_

      private Vector<Double> projected_gradient_step_

    • trust_region_step_

      private Vector<Double> trust_region_step_

    • delta_

      private Vector<Double> delta_

    • candidate_x_

      private Vector<Double> candidate_x_

    • jacobian_scaling_

      private Vector<Double> jacobian_scaling_

    • x_norm_

      private double x_norm_

    • x_cost_

      private double[] x_cost_

    • minimum_cost_

      private double minimum_cost_

    • model_cost_change_

      private double model_cost_change_

    • candidate_cost_

      private double candidate_cost_

    • start_time_in_secs_

      private double start_time_in_secs_

    • iteration_start_time_in_secs_

      private double iteration_start_time_in_secs_

    • num_consecutive_invalid_steps_

      private int num_consecutive_invalid_steps_

  • Constructor Details

    • TrustRegionMinimizer

      public TrustRegionMinimizer()

  • Method Details

    • Minimize

      public void Minimize(CeresSolver.MinimizerOptions options, double[] parameters, CeresSolver.SolverSummary solver_summary)

    • Init

      private void Init(CeresSolver.MinimizerOptions options, double[] parameters, CeresSolver.SolverSummary solver_summary)

    • IterationZero

      private boolean IterationZero()

    • EvaluateGradientAndJacobian

      private boolean EvaluateGradientAndJacobian(boolean new_evaluation_point)

    • FinalizeIterationAndCheckIfMinimizerCanContinue

      private boolean FinalizeIterationAndCheckIfMinimizerCanContinue()

    • GradientToleranceReached

      private boolean GradientToleranceReached()

    • MaxSolverIterationsReached

      private boolean MaxSolverIterationsReached()

    • MaxSolverTimeReached

      private boolean MaxSolverTimeReached()

    • MinTrustRegionRadiusReached

      private boolean MinTrustRegionRadiusReached()

    • ComputeTrustRegionStep

      private boolean ComputeTrustRegionStep()

    • HandleInvalidStep

      private boolean HandleInvalidStep()

    • DoLineSearch

      private void DoLineSearch(Vector<Double> x, Vector<Double> gradient, double cost, Vector<Double> delta)

    • ComputeCandidatePointAndEvaluateCost

      private void ComputeCandidatePointAndEvaluateCost()

    • DoInnerIterationsIfNeeded

      private void DoInnerIterationsIfNeeded()

    • ParameterToleranceReached

      private boolean ParameterToleranceReached()

    • FunctionToleranceReached

      private boolean FunctionToleranceReached()

    • IsStepSuccessful

      private boolean IsStepSuccessful()

    • HandleSuccessfulStep

      private boolean HandleSuccessfulStep()

    • HandleUnsuccessfulStep

      private void HandleUnsuccessfulStep()