Index A | C | D | E | F | G | I | J | K | L | M | N | P | R | S | T | V | W A analyze() (jaxls.LeastSquaresProblem method) AnalyzedLeastSquaresProblem (class in jaxls) args (jaxls.Cost attribute) AugmentedLagrangianConfig (class in jaxls) C compute_constraint_values() (jaxls.AnalyzedLeastSquaresProblem method) compute_residual (jaxls.Cost attribute) compute_residual_vector() (jaxls.AnalyzedLeastSquaresProblem method) ConjugateGradientConfig (class in jaxls) Cost (class in jaxls) cost_history (jaxls.SolveSummary attribute) cost_tolerance (jaxls.TerminationConfig attribute) costs (jaxls.LeastSquaresProblem attribute) covariance() (jaxls.CovarianceEstimator method) CovarianceEstimator (class in jaxls) create_factory() (jaxls.Cost static method) D default_factory() (jaxls.Var class method) E early_termination (jaxls.TerminationConfig attribute) eisenstat_walker_alpha (jaxls.ConjugateGradientConfig attribute) eisenstat_walker_gamma (jaxls.ConjugateGradientConfig attribute) F factory() (jaxls.Cost static method) G get_stacked_value() (jaxls.VarValues method) get_value() (jaxls.VarValues method) gradient_tolerance (jaxls.TerminationConfig attribute) gradient_tolerance_start_step (jaxls.TerminationConfig attribute) I id (jaxls.Var attribute) ids_from_type (jaxls.VarValues attribute) inner_solve_tolerance (jaxls.AugmentedLagrangianConfig attribute) iterations (jaxls.SolveSummary attribute) J jac_batch_size (jaxls.Cost attribute) jac_custom_fn (jaxls.Cost attribute) jac_custom_with_cache_fn (jaxls.Cost attribute) jac_mode (jaxls.Cost attribute) K kind (jaxls.Cost attribute) L lambda_factor (jaxls.TrustRegionConfig attribute) lambda_history (jaxls.SolveSummary attribute) lambda_initial (jaxls.TrustRegionConfig attribute) lambda_max (jaxls.AugmentedLagrangianConfig attribute) (jaxls.TrustRegionConfig attribute) lambda_min (jaxls.AugmentedLagrangianConfig attribute) (jaxls.TrustRegionConfig attribute) LeastSquaresProblem (class in jaxls) linear_solver (jaxls.LinearSolverCovarianceEstimatorConfig attribute) LinearSolverCovarianceEstimatorConfig (class in jaxls) M make() (jaxls.Cost static method) (jaxls.VarValues static method) make_covariance_estimator() (jaxls.AnalyzedLeastSquaresProblem method) max_iterations (jaxls.TerminationConfig attribute) N name (jaxls.Cost attribute) P parameter_tolerance (jaxls.TerminationConfig attribute) penalty_factor (jaxls.AugmentedLagrangianConfig attribute) penalty_initial (jaxls.AugmentedLagrangianConfig attribute) penalty_max (jaxls.AugmentedLagrangianConfig attribute) penalty_min (jaxls.AugmentedLagrangianConfig attribute) preconditioner (jaxls.ConjugateGradientConfig attribute) R retract_fn (jaxls.Var attribute) retract_fn() (jaxls.SE2Var method) (jaxls.SE3Var method) (jaxls.SO2Var method) (jaxls.SO3Var method) S SE2Var (class in jaxls) SE3Var (class in jaxls) show() (jaxls.LeastSquaresProblem method) SO2Var (class in jaxls) SO3Var (class in jaxls) solve() (jaxls.AnalyzedLeastSquaresProblem method) SolveSummary (class in jaxls) step_quality_min (jaxls.TrustRegionConfig attribute) T tangent_dim (jaxls.SE2Var attribute) (jaxls.SE3Var attribute) (jaxls.SO2Var attribute) (jaxls.SO3Var attribute) (jaxls.Var attribute) termination_criteria (jaxls.SolveSummary attribute) termination_deltas (jaxls.SolveSummary attribute) TerminationConfig (class in jaxls) tolerance_absolute (jaxls.AugmentedLagrangianConfig attribute) tolerance_max (jaxls.ConjugateGradientConfig attribute) tolerance_min (jaxls.ConjugateGradientConfig attribute) tolerance_relative (jaxls.AugmentedLagrangianConfig attribute) TrustRegionConfig (class in jaxls) V vals_from_type (jaxls.VarValues attribute) Var (class in jaxls) variables (jaxls.LeastSquaresProblem attribute) VarValues (class in jaxls) violation_reduction_threshold (jaxls.AugmentedLagrangianConfig attribute) W with_value() (jaxls.Var method)