NonlinearOptimizer.h File Reference

Base class and parameters for nonlinear optimization algorithms. More...

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Classes
class	gtsam::NonlinearOptimizer
	This is the abstract interface for classes that can optimize for the maximum-likelihood estimate of a NonlinearFactorGraph. More...

Namespaces
	gtsam
	Global functions in a separate testing namespace.

Functions
bool	gtsam::checkConvergence (double relativeErrorTreshold, double absoluteErrorTreshold, double errorThreshold, double currentError, double newError, NonlinearOptimizerParams::Verbosity verbosity=NonlinearOptimizerParams::SILENT)
	Check whether the relative error decrease is less than relativeErrorTreshold, the absolute error decrease is less than absoluteErrorTreshold, or the error itself is less than errorThreshold.
GTSAM_EXPORT bool	gtsam::checkConvergence (const NonlinearOptimizerParams &params, double currentError, double newError)

Detailed Description

Base class and parameters for nonlinear optimization algorithms.

Author

Richard Roberts

Date

Sep 7, 2009