Various factors that minimize some Frobenius norm. More...

Classes
class	gtsam::FrobeniusPrior< T >
	FrobeniusPrior calculates the Frobenius norm between a given matrix and a fixed-size matrix Lie group element. More...
class	gtsam::FrobeniusFactor< T >
	FrobeniusFactor calculates the Frobenius norm between matrix Lie group elements. More...
class	gtsam::FrobeniusBetweenFactorNL< T >
	FrobeniusBetweenFactorNL is a BetweenFactor that evaluates the Frobenius norm of the matrix error between measured and predicted (rather than the Logmap of the error). More...
class	gtsam::FrobeniusBetweenFactor< T >
	FrobeniusBetweenFactor uses \|\|T2 - T1*T12_\|\|_F, which only works if the Frobenius error is invariant to multiplying with an arbitrary element T. More...
class	gtsam::FrobeniusLeftBetweenFactor< T >
	FrobeniusLeftBetweenFactor uses \|\|iTw - iTj*jTw\|\|_F, where measured iTj maps frame j into frame i. More...

Namespaces
namespace	gtsam
	Global functions in a separate testing namespace.

Typedefs
template<class T>
using	gtsam::FrobeniusErrorVector

Functions
SharedNoiseModel	gtsam::ConvertNoiseModel (const SharedNoiseModel &model, size_t n, bool defaultToUnit=true)
	Convert a possibly robust noise model to an isotropic model for Frobenius factors.
template<class T, size_t Dim>
SharedNoiseModel	gtsam::ConvertModel (const SharedNoiseModel &model)
	Ensure a noise model has the correct dimension for a given type.

Detailed Description

Various factors that minimize some Frobenius norm.

Classes