gtsam::ShonanAveraging< d > Member List

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

buildD() constgtsam::ShonanAveraging< d >private
buildGraphAt(size_t p) constgtsam::ShonanAveraging< d >
buildQ() constgtsam::ShonanAveraging< d >private
checkOptimality(const Values &values) constgtsam::ShonanAveraging< d >
computeA(const Values &values) constgtsam::ShonanAveraging< d >
computeA(const Matrix &S) constgtsam::ShonanAveraging< d >
computeA_(const Values &values) constgtsam::ShonanAveraging< d >inline
computeLambda(const Matrix &S) constgtsam::ShonanAveraging< d >
computeLambda(const Values &values) constgtsam::ShonanAveraging< d >
computeLambda_(const Values &values) constgtsam::ShonanAveraging< d >inline
computeLambda_(const Matrix &S) constgtsam::ShonanAveraging< d >inline
computeMinEigenValue(const Values &values, Vector *minEigenVector=nullptr) constgtsam::ShonanAveraging< d >
computeMinEigenValueAP(const Values &values, Vector *minEigenVector=nullptr) constgtsam::ShonanAveraging< d >
computeMinEigenVector(const Values &values) constgtsam::ShonanAveraging< d >
cost(const Values &values) constgtsam::ShonanAveraging< d >
costAt(size_t p, const Values &values) constgtsam::ShonanAveraging< d >
createOptimizerAt(size_t p, const Values &initial) constgtsam::ShonanAveraging< d >
D_gtsam::ShonanAveraging< d >private
initializeRandomly(std::mt19937 &rng) constgtsam::ShonanAveraging< d >
initializeRandomly() constgtsam::ShonanAveraging< d >
initializeRandomlyAt(size_t p, std::mt19937 &rng) constgtsam::ShonanAveraging< d >
initializeRandomlyAt(size_t p) constgtsam::ShonanAveraging< d >
initializeWithDescent(size_t p, const Values &values, const Vector &minEigenVector, double minEigenValue, double gradienTolerance=1e-2, double preconditionedGradNormTolerance=1e-4) constgtsam::ShonanAveraging< d >
keys(size_t k) constgtsam::ShonanAveraging< d >inline
L_gtsam::ShonanAveraging< d >private
LiftTo(size_t p, const Values &values)gtsam::ShonanAveraging< d >inlinestatic
LiftwithDescent(size_t p, const Values &values, const Vector &minEigenVector)gtsam::ShonanAveraging< d >static
makeNoiseModelRobust(const Measurements &measurements, double k=1.345) constgtsam::ShonanAveraging< d >inline
maybeRobust(const std::vector< BinaryMeasurement< T >> &measurements, bool useRobustModel=false) constgtsam::ShonanAveraging< d >inline
measured(size_t k) constgtsam::ShonanAveraging< d >inline
measurement(size_t k) constgtsam::ShonanAveraging< d >inline
Measurements typedefgtsam::ShonanAveraging< d >
measurements_gtsam::ShonanAveraging< d >private
nrUnknowns() constgtsam::ShonanAveraging< d >inline
nrUnknowns_gtsam::ShonanAveraging< d >private
numberMeasurements() constgtsam::ShonanAveraging< d >inline
Parameters typedefgtsam::ShonanAveraging< d >
parameters_gtsam::ShonanAveraging< d >private
projectFrom(size_t p, const Values &values) constgtsam::ShonanAveraging< d >
projectFrom(size_t p, const Values &values) constgtsam::ShonanAveraging< d >
projectFrom(size_t p, const Values &values) constgtsam::ShonanAveraging< d >
Q_gtsam::ShonanAveraging< d >private
riemannianGradient(size_t p, const Values &values) constgtsam::ShonanAveraging< d >
Rot typedefgtsam::ShonanAveraging< d >
roundSolution(const Values &values) constgtsam::ShonanAveraging< d >
roundSolutionS(const Matrix &S) constgtsam::ShonanAveraging< d >
roundSolutionS(const Matrix &S) constgtsam::ShonanAveraging< d >
roundSolutionS(const Matrix &S) constgtsam::ShonanAveraging< d >
run(const Values &initialEstimate, size_t pMin=d, size_t pMax=10) constgtsam::ShonanAveraging< d >
ShonanAveraging(const Measurements &measurements, const Parameters &parameters=Parameters())gtsam::ShonanAveraging< d >
Sparse typedefgtsam::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) constgtsam::ShonanAveraging< d >

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autogenerated on Fri Nov 1 2024 03:52:44