Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

dlr::optimization::GradientFunction< Functor >	The GradientFunction class template is derived from std::unary_function, and adds one additional member function for computing the gradient of the function output with respect to the argument
dlr::optimization::Optimizer< Functor >	Optimizer is an abstract base class defining the interface for general optimization classes
dlr::optimization::OptimizerBFGS< Functor >	OptimizerBFGS implements the Quasi-Newton method of Broyden, Fletcher, Goldfarb, and Shanno, as described in [1] (and possibly in [2])
dlr::optimization::OptimizerLineSearch< Functor >	OptimizerLineSearch implements the line search algorithm described in [1]
dlr::optimization::OptimizerLM< Functor >	OptimizerLM implements the Levenberg-Marquardt nonlinear least-squares minimization algorithm, as described in [1]
dlr::optimization::OptimizerNelderMead< Functor >	OptimizerNelderMead implements the non-gradient based downhill simplex optimization method of Nelder and Mead, as described in [1] and [2]