PyNLPQLP

class PyNLPQLP.DiffType

Enumeration

BACKWARD = PyNLPQLP.DiffType.BACKWARD

CENTRAL = PyNLPQLP.DiffType.CENTRAL

FORWARD = PyNLPQLP.DiffType.FORWARD

FOURTH_ORDER = PyNLPQLP.DiffType.FOURTH_ORDER

class PyNLPQLP.NLPQLP

__init__()

__init__(arg2: SettingsNLPQLP)

class PyNLPQLP.SettingsNLPQLP

__init__()

get_accuracy() → float

Get tolerance by which optimality conditions are met.

get_gradient_dx() → vector_type

Get differentiation step size.

get_line_search_stack_size() → int

Get value of nonmonotonous line search stack size.

get_max_num_function_calls() → int

Get the maximum allowed number of function calls.

get_max_step_size() → int

get_number_of_parallel_line_searches() → int

Get number of line searches running parallel.

get_numerical_differences() → DiffType

Get value used for the differentiaion scheme.

property min_line_search_stepsize

Default 0 means auto detection of step size.

set_accuracy(arg2: float)

Set tolerance by which optimality conditions are met.

set_gradient_dx(arg2: float)

set_gradient_dx(arg2: vector_type)

[0] Set differentiation step size.

[1] Set differentiation step size.

set_line_search_stack_size(arg2: int)

Set value of nonmonotonous line search stack size.

set_max_num_function_calls(arg2: int)

Set the maximum allowed number of function calls.

set_max_step_size(arg2: float)

set_max_step_size(arg2: vector_type)

set_number_of_parallel_line_searches(arg2: int)

Set number of line searches running parallel.

set_numerical_differences(arg2: DiffType)

Set value used for the differentiaion scheme.

property use_initial_stepsize_limit

Initial stepsize limit.