gtsam 4.1.1
gtsam
gtsam::ShonanAveraging3 Member List

This is the complete list of members for gtsam::ShonanAveraging3, including all inherited members.

buildGraphAt(size_t p) constgtsam::ShonanAveraging< 3 >
checkOptimality(const Values &values) constgtsam::ShonanAveraging< 3 >
computeA(const Values &values) constgtsam::ShonanAveraging< 3 >
computeA(const Matrix &S) constgtsam::ShonanAveraging< 3 >
computeA_(const Values &values) constgtsam::ShonanAveraging< 3 >inline
computeLambda(const Matrix &S) constgtsam::ShonanAveraging< 3 >
computeLambda(const Values &values) constgtsam::ShonanAveraging< 3 >
computeLambda_(const Values &values) constgtsam::ShonanAveraging< 3 >inline
computeLambda_(const Matrix &S) constgtsam::ShonanAveraging< 3 >inline
computeMinEigenValue(const Values &values, Vector *minEigenVector=nullptr) constgtsam::ShonanAveraging< 3 >
computeMinEigenValueAP(const Values &values, Vector *minEigenVector=nullptr) constgtsam::ShonanAveraging< 3 >
computeMinEigenVector(const Values &values) constgtsam::ShonanAveraging< 3 >
cost(const Values &values) constgtsam::ShonanAveraging< 3 >
costAt(size_t p, const Values &values) constgtsam::ShonanAveraging< 3 >
createOptimizerAt(size_t p, const Values &initial) constgtsam::ShonanAveraging< 3 >
D() constgtsam::ShonanAveraging< 3 >inline
denseD() constgtsam::ShonanAveraging< 3 >inline
denseL() constgtsam::ShonanAveraging< 3 >inline
denseQ() constgtsam::ShonanAveraging< 3 >inline
initializeRandomly(std::mt19937 &rng) constgtsam::ShonanAveraging< 3 >
initializeRandomly() constgtsam::ShonanAveraging< 3 >
initializeRandomlyAt(size_t p, std::mt19937 &rng) constgtsam::ShonanAveraging< 3 >
initializeRandomlyAt(size_t p) constgtsam::ShonanAveraging< 3 >
initializeWithDescent(size_t p, const Values &values, const Vector &minEigenVector, double minEigenValue, double gradienTolerance=1e-2, double preconditionedGradNormTolerance=1e-4) constgtsam::ShonanAveraging< 3 >
keys(size_t k) constgtsam::ShonanAveraging< 3 >inline
L() constgtsam::ShonanAveraging< 3 >inline
LiftTo(size_t p, const Values &values)gtsam::ShonanAveraging< 3 >inlinestatic
LiftwithDescent(size_t p, const Values &values, const Vector &minEigenVector)gtsam::ShonanAveraging< 3 >static
makeNoiseModelRobust(const Measurements &measurements, double k=1.345) constgtsam::ShonanAveraging< 3 >inline
maybeRobust(const std::vector< BinaryMeasurement< T > > &measurements, bool useRobustModel=false) constgtsam::ShonanAveraging< 3 >inline
measured(size_t k) constgtsam::ShonanAveraging< 3 >inline
measurement(size_t k) constgtsam::ShonanAveraging< 3 >inline
nrMeasurements() constgtsam::ShonanAveraging< 3 >inline
nrUnknowns() constgtsam::ShonanAveraging< 3 >inline
projectFrom(size_t p, const Values &values) constgtsam::ShonanAveraging< 3 >
Q() constgtsam::ShonanAveraging< 3 >inline
riemannianGradient(size_t p, const Values &values) constgtsam::ShonanAveraging< 3 >
roundSolution(const Values &values) constgtsam::ShonanAveraging< 3 >
roundSolutionS(const Matrix &S) constgtsam::ShonanAveraging< 3 >
run(const Values &initialEstimate, size_t pMin=d, size_t pMax=10) constgtsam::ShonanAveraging< 3 >
ShonanAveraging(const Measurements &measurements, const Parameters &parameters=Parameters())gtsam::ShonanAveraging< 3 >
ShonanAveraging3(const Measurements &measurements, const Parameters &parameters=Parameters()) (defined in gtsam::ShonanAveraging3)gtsam::ShonanAveraging3
ShonanAveraging3(std::string g2oFile, const Parameters &parameters=Parameters()) (defined in gtsam::ShonanAveraging3)gtsam::ShonanAveraging3explicit
ShonanAveraging3(const BetweenFactorPose3s &factors, const Parameters &parameters=Parameters()) (defined in gtsam::ShonanAveraging3)gtsam::ShonanAveraging3
StiefelElementMatrix(const Values &values)gtsam::ShonanAveraging< 3 >static
TangentVectorValues(size_t p, const Vector &v)gtsam::ShonanAveraging< 3 >static
tryOptimizingAt(size_t p, const Values &initial) constgtsam::ShonanAveraging< 3 >