DPF Framework 2026 R1

math:time integration

Last update: 31.07.2026

Version: 0.0.0

Description

Integrates a field of time varying quantities over time

Inputs

This table lists the input pins for this operator. Input pins define the data that the operator requires to perform its operation. Some inputs are required, while others are optional and provide additional configuration. Each parameter is detailed in the sections that follow the table.

Pin number Name Status Expected type(s)
0 field Required field
1 resample_output bool
2 absolute_error double
3 minimum_step_size double
4 integration_constant double

field (Pin 0)

  • Required: Yes
  • Expected type(s): field

field

resample_output (Pin 1)

  • Required: No
  • Expected type(s): bool

Resample the output

absolute_error (Pin 2)

  • Required: No
  • Expected type(s): double

Absolute error for the resampling

minimum_step_size (Pin 3)

  • Required: No
  • Expected type(s): double

Minimum time step size for the resamplig

integration_constant (Pin 4)

  • Required: No
  • Expected type(s): double

Constant to be added to the integrated field

Outputs

This table lists the output pins for this operator. Output pins provide the results of the operator's computation and can be connected to inputs of other operators or retrieved for further processing. Each output is detailed in the sections that follow the table.

Pin number Name Expected type(s)
0 field field

field (Pin 0)

  • Expected type(s): field

Configurations

This operator supports configuration options that modify its behavior.

mutex

  • Expected type(s): bool
  • Default value: false

If this option is set to true, the shared memory is prevented from being simultaneously accessed by multiple threads.

Scripting

This operator can be accessed through scripting interfaces using these identifiers.

Category: math

Plugin: core

Scripting name: time_integration

Full name: math.time_integration

Internal name: TimeIntegration

License: None

Examples

These examples demonstrate how to use this operator in different programming environments. Each example shows how to instantiate the operator, connect the required inputs, and retrieve the output.

C++ 
#include "dpf_api.h"

ansys::dpf::Operator op("TimeIntegration"); // operator instantiation
op.connect(0, my_field);
op.connect(1, my_resample_output);
op.connect(2, my_absolute_error);
op.connect(3, my_minimum_step_size);
op.connect(4, my_integration_constant);
ansys::dpf::Field my_field = op.getOutput<ansys::dpf::Field>(0);
CPython 
import ansys.dpf.core as dpf

op = dpf.operators.math.time_integration() # operator instantiation
op.inputs.field.connect(my_field)
op.inputs.resample_output.connect(my_resample_output)
op.inputs.absolute_error.connect(my_absolute_error)
op.inputs.minimum_step_size.connect(my_minimum_step_size)
op.inputs.integration_constant.connect(my_integration_constant)
my_field = op.outputs.field()
IPython 
import mech_dpf
import Ans.DataProcessing as dpf

op = dpf.operators.math.time_integration() # operator instantiation
op.inputs.field.Connect(my_field)
op.inputs.resample_output.Connect(my_resample_output)
op.inputs.absolute_error.Connect(my_absolute_error)
op.inputs.minimum_step_size.Connect(my_minimum_step_size)
op.inputs.integration_constant.Connect(my_integration_constant)
my_field = op.outputs.field.GetData()

Changelog

  • Version 0.0.0: Initial release.

Connect with Ansys