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gtsam::ShonanAveraging< d > Member List

This is the complete list of members for gtsam::ShonanAveraging< d >, including all inherited members.

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