.. _method-nonlinear_cg: """""""""""" nonlinear_cg """""""""""" (Experimental) nonlinear conjugate gradient optimization **Topics** local_optimization_methods .. toctree:: :hidden: :maxdepth: 1 method-nonlinear_cg-misc_options method-nonlinear_cg-convergence_tolerance method-nonlinear_cg-max_iterations method-nonlinear_cg-scaling method-nonlinear_cg-model_pointer **Specification** - *Alias:* None - *Arguments:* None **Child Keywords:** +-------------------------+--------------------+---------------------------+---------------------------------------------+ | Required/Optional | Description of | Dakota Keyword | Dakota Keyword Description | | | Group | | | +=========================+====================+===========================+=============================================+ | Optional | `misc_options`__ | Options for nonlinear CG optimizer | +----------------------------------------------+---------------------------+---------------------------------------------+ | Optional | `convergence_tolerance`__ | Stopping criterion based on objective | | | | function or statistics convergence | +----------------------------------------------+---------------------------+---------------------------------------------+ | Optional | `max_iterations`__ | Number of iterations allowed for optimizers | | | | and adaptive UQ methods | +----------------------------------------------+---------------------------+---------------------------------------------+ | Optional | `scaling`__ | Turn on scaling for variables, responses, | | | | and constraints | +----------------------------------------------+---------------------------+---------------------------------------------+ | Optional | `model_pointer`__ | Identifier for model block to be used by a | | | | method | +----------------------------------------------+---------------------------+---------------------------------------------+ .. __: method-nonlinear_cg-misc_options.html __ method-nonlinear_cg-convergence_tolerance.html __ method-nonlinear_cg-max_iterations.html __ method-nonlinear_cg-scaling.html __ method-nonlinear_cg-model_pointer.html **Description** This method is an incomplete experimental implementation of nonlinear conjugate gradient optimization, a local, gradient-based solver.