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gtsam::ShonanAveraging3 Member List

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

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