paraboloid_problem.py

class openmdao.test_suite.components.paraboloid_problem.ParaboloidProblem(**kwargs)

Bases: Problem

Paraboloid problem with Constraint.

Attributes:

driver

Get the Driver for this Problem.

msginfo

Return info to prepend to messages.

Methods

add_recorder(recorder)	Add a recorder to the problem.
check_config([logger, checks, out_file])	Perform optional error checks on a Problem.
check_partials([out_stream, includes, ...])	Check partial derivatives comprehensively for all components in your model.
check_totals([of, wrt, out_stream, ...])	Check total derivatives for the model vs.
cleanup()	Clean up resources prior to exit.
compute_jacvec_product(of, wrt, mode, seed)	Given a seed and 'of' and 'wrt' variables, compute the total jacobian vector product.
compute_totals([of, wrt, return_format, ...])	Compute derivatives of desired quantities with respect to desired inputs.
final_setup()	Perform final setup phase on problem in preparation for run.
find_feasible([case_prefix, ...])	Attempt to find design variable values which minimize the constraint violation.
get_coloring_dir(mode[, mkdir])	Get the path to the directory for the coloring files.
get_outputs_dir(*subdirs[, mkdir])	Get the path under which all output files of this problem are to be placed.
get_reports_dir([force])	Get the path to the directory where the report files should go.
get_total_coloring([coloring_info, of, wrt, ...])	Get the total coloring.
get_val(name[, units, indices, get_remote, ...])	Get an output/input variable.
is_local(name)	Return True if the named variable or system is local to the current process.
list_driver_vars([show_promoted_name, ...])	Print all design variables and responses (objectives and constraints).
list_indep_vars([include_design_vars, ...])	Retrieve the independent variables in the Problem.
list_pre_post([outfile])	Display the pre and post optimization components.
list_problem_vars([show_promoted_name, ...])	Print all design variables and responses (objectives and constraints).
load_case(case)	Pull all input and output variables from a case into the model.
record(case_name)	Record the variables at the Problem level.
run_driver([case_prefix, reset_iter_counts])	Run the driver on the model.
run_model([case_prefix, reset_iter_counts])	Run the model by calling the root system's solve_nonlinear.
set_complex_step_mode(active)	Turn on or off complex stepping mode.
set_setup_status(status, **setup_kwargs)	Set the setup status of the problem, running any setup steps that haven't been run yet.
set_solver_print([level, depth, type_, ...])	Control printing for solvers and subsolvers in the model.
set_val(name[, val, units, indices])	Set an output/input variable.
setup([check, logger, mode, ...])	Set up the model hierarchy.

__init__(**kwargs)

Initialize attributes.