ManeuverOptimalFiniteSNOPTOptimizer#

class ansys.stk.core.stkobjects.astrogator.ManeuverOptimalFiniteSNOPTOptimizer#: Properties of SNOPT Optimizer options for optimal finite maneuver.

Overview#

Properties

`objective`	Objective.
`max_major_iterations`	Get or set the maximum number of major iterations allowed.
`tolerance_on_major_feasibility`	Specify how accurately the nonlinear constraints should be satisfied.
`tolerance_on_major_optimality`	Specify the final accuracy of the dual variables.
`max_minor_iterations`	Get or set the maximum number of iterations for the QP subproblem allowed during a single major iteration.
`tolerance_on_minor_feasibility`	Get or set the tolerance which the QP subproblem must meet before being considered feasible.
`options_filename`	If used, the associated SNOPT specifications file may define any of the various SNOPT options. Options in the file that conflict with options specified elsewhere will take precedence.
`provide_runtime_type_info`	Return the RuntimeTypeInfo interface to access properties at runtime.
`use_console_monitor`	Whether to use the out-of-process console monitor for the optimizer.
`allow_internal_primal_infeasibility_measure_normalization`	Whether to allow internal normalization of the primal infeasibility measure.
`snopt_scaling`	SNOPT scaling option.

from ansys.stk.core.stkobjects.astrogator import ManeuverOptimalFiniteSNOPTOptimizer

property ManeuverOptimalFiniteSNOPTOptimizer.objective: OptimalFiniteSNOPTObjective#: Objective.

property ManeuverOptimalFiniteSNOPTOptimizer.max_major_iterations: int#: Get or set the maximum number of major iterations allowed.

property ManeuverOptimalFiniteSNOPTOptimizer.tolerance_on_major_feasibility: float#: Specify how accurately the nonlinear constraints should be satisfied.

property ManeuverOptimalFiniteSNOPTOptimizer.tolerance_on_major_optimality: float#: Specify the final accuracy of the dual variables.

property ManeuverOptimalFiniteSNOPTOptimizer.max_minor_iterations: int#: Get or set the maximum number of iterations for the QP subproblem allowed during a single major iteration.

property ManeuverOptimalFiniteSNOPTOptimizer.tolerance_on_minor_feasibility: float#: Get or set the tolerance which the QP subproblem must meet before being considered feasible.

property ManeuverOptimalFiniteSNOPTOptimizer.options_filename: str#: If used, the associated SNOPT specifications file may define any of the various SNOPT options. Options in the file that conflict with options specified elsewhere will take precedence.

property ManeuverOptimalFiniteSNOPTOptimizer.provide_runtime_type_info: RuntimeTypeInfo#: Return the RuntimeTypeInfo interface to access properties at runtime.

property ManeuverOptimalFiniteSNOPTOptimizer.use_console_monitor: bool#: Whether to use the out-of-process console monitor for the optimizer.

property ManeuverOptimalFiniteSNOPTOptimizer.allow_internal_primal_infeasibility_measure_normalization: bool#: Whether to allow internal normalization of the primal infeasibility measure.

property ManeuverOptimalFiniteSNOPTOptimizer.snopt_scaling: OptimalFiniteSNOPTScaling#: SNOPT scaling option.