Classes
class	gtsam::Diagonal
	A diagonal noise model implements a diagonal covariance matrix, with the elements of the diagonal specified in a Vector. More...
class	gtsam::Gaussian
	Gaussian implements the mathematical model \|Rx\|^2 = \|y\|^2 with R'R=inv(Sigma) where y = whiten(x) = Rx x = unwhiten(x) = inv(R)y as indeed \|y\|^2 = y'y = x'R'Rx Various derived classes are available that are more efficient. More...
class	gtsam::Isotropic
	An isotropic noise model corresponds to a scaled diagonal covariance To construct, use one of the static methods. More...

Namespaces
namespace	gtsam
	Global functions in a separate testing namespace.

Functions
Key	gtsam::X (std::uint64_t j)

Detailed Description

Classes