# DAKOTA INPUT FILE - rosenbrock.in
# derived from $DAKOTA/test/dakota_rosenbrock_hessians.in;
# modified to use analysis_driver dakmatlab.

# This sample Dakota input file optimizes the Rosenbrock function.
# See p. 95 in Practical Optimization by Gill, Murray, and Wright.

# This tester executes optpp_newton with a series of Hessian settings:
# analytic, quasi BFGS, quasi SR1, 1st-order FD, and 2nd-order FD.

method,
	optpp_newton
	  max_iterations = 50,
	  convergence_tolerance = 1e-12
#	  convergence_tolerance = 1e-4
#	  output debug

variables,
	continuous_design = 2
	  cdv_initial_point   -1.2    1.0
	  cdv_lower_bounds    -2.0   -2.0
	  cdv_upper_bounds     2.0    2.0
	  cdv_descriptor       'x1'   'x2'

interface,
	fork
	  analysis_driver = './dakmatlab',
	  parameters_file = 'r.in'
	  results_file = 'r.out'
	  deactivate active_set_vector

responses,
	num_objective_functions = 1
	analytic_gradients	 		#0,#1,#2,#3
#	numerical_gradients	        	#4
#	  method_source dakota	        	#4
#	  interval_type central	        	#4
#	  fd_gradient_step_size = 1.e-5 	#4
	analytic_hessians			#0
#	quasi_hessians damped bfgs		#1
#	quasi_hessians sr1			#2
#	numerical_hessians			#3,#4
#	  fd_hessian_step_size = 1.e-5		#3,#4