NonlinearOptimizer.h File Reference

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

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Classes
class	gtsam::NonlinearOptimizerState
	Base class for a nonlinear optimization state, including the current estimate of the variable values, error, and number of iterations. More...
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.

Detailed Description

Base class and parameters for nonlinear optimization algorithms.

Author

Richard Roberts

Date

Sep 7, 2009