KratosMultiphysics
KRATOS Multiphysics (Kratos) is a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface.
Public Member Functions | Public Attributes | List of all members
stochastic_potential_flow_response.AdjointResponseFunction Class Reference
Inheritance diagram for stochastic_potential_flow_response.AdjointResponseFunction:
Collaboration diagram for stochastic_potential_flow_response.AdjointResponseFunction:

Public Member Functions

def __init__ (self, identifier, response_settings, model)
 
def Initialize (self)
 
def InitializeSolutionStep (self)
 
def CalculateValue (self)
 
def CalculateGradient (self)
 
def GetValue (self)
 
def GetNodalGradient (self, variable)
 
def Finalize (self)
 

Public Attributes

 identifier
 
 response_settings
 
 primal_settings
 
 adjoint_settings
 
 xmc_settings_path
 
 design_surface_sub_model_part_name
 
 auxiliary_mdpa_path
 
 risk_measure
 
 output_dict_results_file_name
 
 results_dict
 
 output_pressure_file_path
 
 current_model_part
 
 step
 
 xmc_analysis
 

Constructor & Destructor Documentation

◆ __init__()

def stochastic_potential_flow_response.AdjointResponseFunction.__init__ (   self,
  identifier,
  response_settings,
  model 
)

Member Function Documentation

◆ CalculateGradient()

def stochastic_potential_flow_response.AdjointResponseFunction.CalculateGradient (   self)

◆ CalculateValue()

def stochastic_potential_flow_response.AdjointResponseFunction.CalculateValue (   self)

◆ Finalize()

def stochastic_potential_flow_response.AdjointResponseFunction.Finalize (   self)

◆ GetNodalGradient()

def stochastic_potential_flow_response.AdjointResponseFunction.GetNodalGradient (   self,
  variable 
)

◆ GetValue()

def stochastic_potential_flow_response.AdjointResponseFunction.GetValue (   self)

◆ Initialize()

def stochastic_potential_flow_response.AdjointResponseFunction.Initialize (   self)

◆ InitializeSolutionStep()

def stochastic_potential_flow_response.AdjointResponseFunction.InitializeSolutionStep (   self)

Member Data Documentation

◆ adjoint_settings

stochastic_potential_flow_response.AdjointResponseFunction.adjoint_settings

◆ auxiliary_mdpa_path

stochastic_potential_flow_response.AdjointResponseFunction.auxiliary_mdpa_path

◆ current_model_part

stochastic_potential_flow_response.AdjointResponseFunction.current_model_part

◆ design_surface_sub_model_part_name

stochastic_potential_flow_response.AdjointResponseFunction.design_surface_sub_model_part_name

◆ identifier

stochastic_potential_flow_response.AdjointResponseFunction.identifier

◆ output_dict_results_file_name

stochastic_potential_flow_response.AdjointResponseFunction.output_dict_results_file_name

◆ output_pressure_file_path

stochastic_potential_flow_response.AdjointResponseFunction.output_pressure_file_path

◆ primal_settings

stochastic_potential_flow_response.AdjointResponseFunction.primal_settings

◆ response_settings

stochastic_potential_flow_response.AdjointResponseFunction.response_settings

◆ results_dict

stochastic_potential_flow_response.AdjointResponseFunction.results_dict

◆ risk_measure

stochastic_potential_flow_response.AdjointResponseFunction.risk_measure

◆ step

stochastic_potential_flow_response.AdjointResponseFunction.step

◆ xmc_analysis

stochastic_potential_flow_response.AdjointResponseFunction.xmc_analysis

◆ xmc_settings_path

stochastic_potential_flow_response.AdjointResponseFunction.xmc_settings_path

The documentation for this class was generated from the following file: