Base(size_t dim=1) | gtsam::noiseModel::Base | inline |
covariance() const | gtsam::noiseModel::Gaussian | virtual |
Covariance(const Matrix &covariance, bool smart=true) | gtsam::noiseModel::Gaussian | static |
dim() const | gtsam::noiseModel::Base | inline |
dim_ | gtsam::noiseModel::Base | protected |
equals(const Base &expected, double tol=1e-9) const override | gtsam::noiseModel::Gaussian | virtual |
Gaussian(size_t dim=1, const std::optional< Matrix > &sqrt_information={}) | gtsam::noiseModel::Gaussian | inline |
Information(const Matrix &M, bool smart=true) | gtsam::noiseModel::Gaussian | static |
information() const | gtsam::noiseModel::Gaussian | virtual |
isConstrained() const | gtsam::noiseModel::Base | inlinevirtual |
isUnit() const | gtsam::noiseModel::Base | inlinevirtual |
logDeterminant() const | gtsam::noiseModel::Gaussian | |
logDetR() const | gtsam::noiseModel::Gaussian | privatevirtual |
loss(const double squared_distance) const | gtsam::noiseModel::Base | inlinevirtual |
mahalanobisDistance(const Vector &v) const | gtsam::noiseModel::Base | inlinevirtual |
negLogConstant() const | gtsam::noiseModel::Gaussian | |
print(const std::string &name) const override | gtsam::noiseModel::Gaussian | virtual |
QR(Matrix &Ab) const | gtsam::noiseModel::Gaussian | virtual |
R() const | gtsam::noiseModel::Gaussian | inlinevirtual |
shared_ptr typedef | gtsam::noiseModel::Gaussian | |
sigmas() const override | gtsam::noiseModel::Gaussian | virtual |
sqrt_information_ | gtsam::noiseModel::Gaussian | protected |
SqrtInformation(const Matrix &R, bool smart=true) | gtsam::noiseModel::Gaussian | static |
squaredMahalanobisDistance(const Vector &v) const | gtsam::noiseModel::Base | virtual |
thisR() const | gtsam::noiseModel::Gaussian | inlineprivate |
unweightedWhiten(const Vector &v) const | gtsam::noiseModel::Base | inlinevirtual |
unwhiten(const Vector &v) const override | gtsam::noiseModel::Gaussian | virtual |
unwhitenInPlace(Vector &v) const | gtsam::noiseModel::Base | inlinevirtual |
unwhitenInPlace(Eigen::Block< Vector > &v) const | gtsam::noiseModel::Base | inlinevirtual |
weight(const Vector &v) const | gtsam::noiseModel::Base | inlinevirtual |
Whiten(const Matrix &H) const override | gtsam::noiseModel::Gaussian | virtual |
whiten(const Vector &v) const override | gtsam::noiseModel::Gaussian | virtual |
WhitenInPlace(Matrix &H) const | gtsam::noiseModel::Gaussian | virtual |
WhitenInPlace(Eigen::Block< Matrix > H) const | gtsam::noiseModel::Gaussian | virtual |
whitenInPlace(Vector &v) const | gtsam::noiseModel::Base | inlinevirtual |
whitenInPlace(Eigen::Block< Vector > &v) const | gtsam::noiseModel::Base | inlinevirtual |
WhitenSystem(std::vector< Matrix > &A, Vector &b) const override | gtsam::noiseModel::Gaussian | virtual |
WhitenSystem(Matrix &A, Vector &b) const override | gtsam::noiseModel::Gaussian | virtual |
WhitenSystem(Matrix &A1, Matrix &A2, Vector &b) const override | gtsam::noiseModel::Gaussian | virtual |
WhitenSystem(Matrix &A1, Matrix &A2, Matrix &A3, Vector &b) const override | gtsam::noiseModel::Gaussian | virtual |
~Base() | gtsam::noiseModel::Base | inlinevirtual |
~Gaussian() override | gtsam::noiseModel::Gaussian | inline |