gtsam::ShonanAveraging2 Member List

This is the complete list of members for gtsam::ShonanAveraging2, including all inherited members.

buildD() const	gtsam::ShonanAveraging< 2 >	private
buildGraphAt(size_t p) const	gtsam::ShonanAveraging< 2 >
buildQ() const	gtsam::ShonanAveraging< 2 >	private
checkOptimality(const Values &values) const	gtsam::ShonanAveraging< 2 >
computeA(const Values &values) const	gtsam::ShonanAveraging< 2 >
computeA(const Matrix &S) const	gtsam::ShonanAveraging< 2 >
computeA_(const Values &values) const	gtsam::ShonanAveraging< 2 >	inline
computeLambda(const Matrix &S) const	gtsam::ShonanAveraging< 2 >
computeLambda(const Values &values) const	gtsam::ShonanAveraging< 2 >
computeLambda_(const Values &values) const	gtsam::ShonanAveraging< 2 >	inline
computeLambda_(const Matrix &S) const	gtsam::ShonanAveraging< 2 >	inline
computeMinEigenValue(const Values &values, Vector *minEigenVector=nullptr) const	gtsam::ShonanAveraging< 2 >
computeMinEigenValueAP(const Values &values, Vector *minEigenVector=nullptr) const	gtsam::ShonanAveraging< 2 >
computeMinEigenVector(const Values &values) const	gtsam::ShonanAveraging< 2 >
cost(const Values &values) const	gtsam::ShonanAveraging< 2 >
costAt(size_t p, const Values &values) const	gtsam::ShonanAveraging< 2 >
createOptimizerAt(size_t p, const Values &initial) const	gtsam::ShonanAveraging< 2 >
D_	gtsam::ShonanAveraging< 2 >	private
initializeRandomly(std::mt19937 &rng) const	gtsam::ShonanAveraging< 2 >
initializeRandomly() const	gtsam::ShonanAveraging< 2 >
initializeRandomlyAt(size_t p, std::mt19937 &rng) const	gtsam::ShonanAveraging< 2 >
initializeRandomlyAt(size_t p) const	gtsam::ShonanAveraging< 2 >
initializeWithDescent(size_t p, const Values &values, const Vector &minEigenVector, double minEigenValue, double gradienTolerance=1e-2, double preconditionedGradNormTolerance=1e-4) const	gtsam::ShonanAveraging< 2 >
keys(size_t k) const	gtsam::ShonanAveraging< 2 >	inline
L_	gtsam::ShonanAveraging< 2 >	private
LiftTo(size_t p, const Values &values)	gtsam::ShonanAveraging< 2 >	inlinestatic
LiftwithDescent(size_t p, const Values &values, const Vector &minEigenVector)	gtsam::ShonanAveraging< 2 >	static
makeNoiseModelRobust(const Measurements &measurements, double k=1.345) const	gtsam::ShonanAveraging< 2 >	inline
maybeRobust(const std::vector< BinaryMeasurement< T >> &measurements, bool useRobustModel=false) const	gtsam::ShonanAveraging< 2 >	inline
measured(size_t k) const	gtsam::ShonanAveraging< 2 >	inline
measurement(size_t k) const	gtsam::ShonanAveraging< 2 >	inline
Measurements typedef	gtsam::ShonanAveraging< 2 >
measurements_	gtsam::ShonanAveraging< 2 >	private
nrUnknowns() const	gtsam::ShonanAveraging< 2 >	inline
nrUnknowns_	gtsam::ShonanAveraging< 2 >	private
numberMeasurements() const	gtsam::ShonanAveraging< 2 >	inline
Parameters typedef	gtsam::ShonanAveraging< 2 >
parameters_	gtsam::ShonanAveraging< 2 >	private
projectFrom(size_t p, const Values &values) const	gtsam::ShonanAveraging< 2 >
projectFrom(size_t p, const Values &values) const	gtsam::ShonanAveraging< 2 >
projectFrom(size_t p, const Values &values) const	gtsam::ShonanAveraging< 2 >
Q_	gtsam::ShonanAveraging< 2 >	private
riemannianGradient(size_t p, const Values &values) const	gtsam::ShonanAveraging< 2 >
Rot typedef	gtsam::ShonanAveraging< 2 >
roundSolution(const Values &values) const	gtsam::ShonanAveraging< 2 >
roundSolutionS(const Matrix &S) const	gtsam::ShonanAveraging< 2 >
roundSolutionS(const Matrix &S) const	gtsam::ShonanAveraging< 2 >
roundSolutionS(const Matrix &S) const	gtsam::ShonanAveraging< 2 >
run(const Values &initialEstimate, size_t pMin=d, size_t pMax=10) const	gtsam::ShonanAveraging< 2 >
ShonanAveraging(const Measurements &measurements, const Parameters &parameters=Parameters())	gtsam::ShonanAveraging< 2 >
ShonanAveraging2(const Measurements &measurements, const Parameters &parameters=Parameters())	gtsam::ShonanAveraging2
ShonanAveraging2(std::string g2oFile, const Parameters &parameters=Parameters())	gtsam::ShonanAveraging2	explicit
ShonanAveraging2(const BetweenFactorPose2s &factors, const Parameters &parameters=Parameters())	gtsam::ShonanAveraging2
Sparse typedef	gtsam::ShonanAveraging< 2 >
StiefelElementMatrix(const Values &values)	gtsam::ShonanAveraging< 2 >	static
TangentVectorValues(size_t p, const Vector &v)	gtsam::ShonanAveraging< 2 >	static
tryOptimizingAt(size_t p, const Values &initial) const	gtsam::ShonanAveraging< 2 >