Grid1D, Grid2D, Grid3D
Create a dataset that can evaluate 1D, 2D, or 3D functions or other datasets on a domain with a grid. For example, you can use these datasets to evaluate BEM and far-field operators.
Syntax
model.result().dataset().create(<dtag>,"Grid1D");
model.result().dataset().create(<dtag>,"Grid2D");
model.result().dataset().create(<dtag>,"Grid3D");
model.result().dataset(<dtag>).set(property, <value>);
Description
model.result().dataset().create(<dtag>,"Grid1D") creates a 1D grid dataset feature named <dtag>.
This dataset provides support for evaluation of functions or other datasets on a domain with a grid. All functions in the same function list as the selected function can also be evaluated. The domain is an interval for Grid1D, a rectangle for Grid2D, and a block for Grid3D. The domain does not need to have the same dimension as the number of arguments to the function.
The following properties are available:
true | false
none | dataset tag
uniform | exponential | mixed
none | all | function tag
The name of the parameter. par1, par2, and par3 for Grid3D, for example.
The number of points into which each dimension is discretized. res1, res2, and res3 for Grid 3D, for example.
function | data