#@ s*: Label=FastTest
#@ s*: Label=AcceptanceTest

## DAKOTA INPUT FILE

# Tests variants of numerical gradients.

method,
	optpp_q_newton				#s0,#s1,#s2,#s3,#s4
#	optpp_newton				#s5,#s6,#s7,#s8,#s9

variables,
	continuous_design = 2
	  initial_point    0.9    1.1		#s0,#s1,#s2,#s3
#	  initial_point    0.9    1.1		#s5,#s6,#s7,#s8
#	  initial_point    0.9    0.0		#s4,#s9
	  upper_bounds     5.8    2.9
	  lower_bounds     0.5   -2.9
	  descriptors      'x1'   'x2'

interface,
	fork
	  asynchronous
	  analysis_driver = 'text_book'

responses,
	objective_functions = 1
	numerical_gradients			#s0,#s1,#s2,#s3,#s4
	  method_source dakota			#s0,#s1,#s2,#s3,#s4
#	    absolute				#s1,#s4
#	    bounds				#s2
#	    relative				#s3
	  interval_type central			#s0,#s1,#s2,#s3,#s4
	  fd_gradient_step_size = 1.e-4		#s0,#s1,#s2,#s3
#	  fd_gradient_step_size = 1.e-308	#s4
#	analytic_gradients	  		#s5,#s6,#s7,#s8,#s9
	no_hessians				#s0,#s1,#s2,#s3,#s4
#	numerical_hessians			#s5,#s6,#s7,#s8,#s9
#	  absolute				#s6,#s9
#	  bounds				#s7
#	  relative				#s8
#	  fd_hessian_step_size = 1.e-4		#s5,#s6,#s7,#s8
#	  fd_hessian_step_size = 1.e-308	#s9