| buildDampedSystem(GaussianFactorGraph damped) const | gtsam::internal::LevenbergMarquardtState | inline |
| buildDampedSystem(GaussianFactorGraph damped, const VectorValues &sqrtHessianDiagonal) const | gtsam::internal::LevenbergMarquardtState | inline |
| currentFactor | gtsam::internal::LevenbergMarquardtState | |
| decreaseLambda(const LevenbergMarquardtParams ¶ms, double stepQuality, Values &&newValues, double newError) const | gtsam::internal::LevenbergMarquardtState | inline |
| error | gtsam::internal::NonlinearOptimizerState | |
| getCachedModel(size_t dim) const | gtsam::internal::LevenbergMarquardtState | inline |
| increaseLambda(const LevenbergMarquardtParams ¶ms) | gtsam::internal::LevenbergMarquardtState | inline |
| iterations | gtsam::internal::NonlinearOptimizerState | |
| lambda | gtsam::internal::LevenbergMarquardtState | |
| LevenbergMarquardtState(const Values &initialValues, double _error, double _lambda, double currentFactor, unsigned int _iterations=0, unsigned int totalNumberInnerIterations=0) | gtsam::internal::LevenbergMarquardtState | inline |
| LevenbergMarquardtState(Values &&initialValues, double _error, double _lambda, double currentFactor, unsigned int _iterations=0, unsigned int totalNumberInnerIterations=0) | gtsam::internal::LevenbergMarquardtState | inline |
| noiseModelCache | gtsam::internal::LevenbergMarquardtState | mutable |
| NonlinearOptimizerState(const Values &values, double error, size_t iterations=0) | gtsam::internal::NonlinearOptimizerState | inline |
| NonlinearOptimizerState(Values &&values, double error, size_t iterations=0) | gtsam::internal::NonlinearOptimizerState | inline |
| This typedef | gtsam::internal::LevenbergMarquardtState | |
| totalNumberInnerIterations | gtsam::internal::LevenbergMarquardtState | |
| values | gtsam::internal::NonlinearOptimizerState | |
| ~NonlinearOptimizerState() | gtsam::internal::NonlinearOptimizerState | inlinevirtual |