| AsymmetricCauchy(double k=0.1, const ReweightScheme reweight=Block) (defined in gtsam::noiseModel::mEstimator::AsymmetricCauchy) | gtsam::noiseModel::mEstimator::AsymmetricCauchy | |
| Base(const ReweightScheme reweight=Block) (defined in gtsam::noiseModel::mEstimator::Base) | gtsam::noiseModel::mEstimator::Base | inline |
| Block enum value (defined in gtsam::noiseModel::mEstimator::Base) | gtsam::noiseModel::mEstimator::Base | |
| Create(double k, const ReweightScheme reweight=Block) (defined in gtsam::noiseModel::mEstimator::AsymmetricCauchy) | gtsam::noiseModel::mEstimator::AsymmetricCauchy | static |
| equals(const Base &expected, double tol=1e-8) const override (defined in gtsam::noiseModel::mEstimator::AsymmetricCauchy) | gtsam::noiseModel::mEstimator::AsymmetricCauchy | virtual |
| graduatedLoss(double, double) const override | gtsam::noiseModel::mEstimator::AsymmetricCauchy | virtual |
| graduatedWeight(double, double) const override | gtsam::noiseModel::mEstimator::AsymmetricCauchy | virtual |
| k_ (defined in gtsam::noiseModel::mEstimator::AsymmetricCauchy) | gtsam::noiseModel::mEstimator::AsymmetricCauchy | protected |
| ksquared_ (defined in gtsam::noiseModel::mEstimator::AsymmetricCauchy) | gtsam::noiseModel::mEstimator::AsymmetricCauchy | protected |
| loss(double distance) const override | gtsam::noiseModel::mEstimator::AsymmetricCauchy | virtual |
| modelParameter() const (defined in gtsam::noiseModel::mEstimator::AsymmetricCauchy) | gtsam::noiseModel::mEstimator::AsymmetricCauchy | inline |
| print(const std::string &s) const override (defined in gtsam::noiseModel::mEstimator::AsymmetricCauchy) | gtsam::noiseModel::mEstimator::AsymmetricCauchy | virtual |
| reweight(Vector &error) const | gtsam::noiseModel::mEstimator::Base | |
| reweight(std::vector< Matrix > &A, Vector &error) const (defined in gtsam::noiseModel::mEstimator::Base) | gtsam::noiseModel::mEstimator::Base | |
| reweight(Matrix &A, Vector &error) const (defined in gtsam::noiseModel::mEstimator::Base) | gtsam::noiseModel::mEstimator::Base | |
| reweight(Matrix &A1, Matrix &A2, Vector &error) const (defined in gtsam::noiseModel::mEstimator::Base) | gtsam::noiseModel::mEstimator::Base | |
| reweight(Matrix &A1, Matrix &A2, Matrix &A3, Vector &error) const (defined in gtsam::noiseModel::mEstimator::Base) | gtsam::noiseModel::mEstimator::Base | |
| reweight_ | gtsam::noiseModel::mEstimator::Base | protected |
| ReweightScheme enum name | gtsam::noiseModel::mEstimator::Base | |
| reweightScheme() const | gtsam::noiseModel::mEstimator::Base | inline |
| Scalar enum value (defined in gtsam::noiseModel::mEstimator::Base) | gtsam::noiseModel::mEstimator::Base | |
| shared_ptr typedef (defined in gtsam::noiseModel::mEstimator::AsymmetricCauchy) | gtsam::noiseModel::mEstimator::AsymmetricCauchy | |
| sqrtWeight(double distance) const (defined in gtsam::noiseModel::mEstimator::Base) | gtsam::noiseModel::mEstimator::Base | inline |
| sqrtWeight(const Vector &error) const | gtsam::noiseModel::mEstimator::Base | |
| weight(double distance) const override | gtsam::noiseModel::mEstimator::AsymmetricCauchy | virtual |
| gtsam::noiseModel::mEstimator::Base::weight(const Vector &error) const | gtsam::noiseModel::mEstimator::Base | |
| ~Base() (defined in gtsam::noiseModel::mEstimator::Base) | gtsam::noiseModel::mEstimator::Base | inlinevirtual |
1.16.1