linear_system.py

A component that solves a linear system.

class openmdao.components.linear_system.LinearSystem(size)

Bases: openmdao.core.component.Component

A component that solves a linear system Ax=b where A and x are params and x is a state.

Options:

fd_options[‘force_fd’] : bool(False)

Set to True to finite difference this system.

fd_options[‘form’] : str(‘forward’)

Finite difference mode. (forward, backward, central) You can also set to ‘complex_step’ to peform the complex step method if your components support it.

fd_options[‘step_size’] : float(1e-06)

Default finite difference stepsize

fd_options[‘step_type’] : str(‘absolute’)

Set to absolute, relative

fd_options[‘extra_check_partials_form’] : None or str

Finite difference mode: (“forward”, “backward”, “central”, “complex_step”) During check_partial_derivatives, you can optionally do a second finite difference with a different mode.

fd_options[‘linearize’] : bool(False)

Set to True if you want linearize to be called even though you are using FD.

apply_linear(params, unknowns, dparams, dunknowns, dresids, mode)

Apply the derivative of state variable with respect to everything.

apply_nonlinear(params, unknowns, resids)

Evaluating residual for given state.

solve_nonlinear(params, unknowns, resids)

Use numpy to solve Ax=b for x.