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:
Table 7-46: Valid Property/Value Pairs for Grid Datasets
Name
Value
Default
Description
adaptive
true | false
true
For Grid1D only. If active, it can downsample 1D datasets by removing unnecessary evaluation points to improve graph plots.
data
none | dataset tag
none
The dataset this feature refers to.
distribution
uniform | exponential | mixed
uniform
The point distribution: uniform, exponential, or mixed uniform/exponential.
function
none | all | function tag
none
The function this feature refers to.
pari
String
Model-dependent
The name of the parameter. par1, par2, and par3 for Grid3D, for example.
parmin1
double
0
Lower bound for the first dimension of the domain.
parmax1
double
1
Upper bound for the first dimension of the domain.
parmin2
double
0
Lower bound for the second dimension of the domain. (For Grid2D and Grid3D.)
parmax2
double
1
Upper bound for the second dimension of the domain. (For Grid2D and Grid3D.)
parmin3
double
0
Lower bound for the third dimension of the domain. (For Grid3D.)
parmax3
double
1
Upper bound for the third dimension of the domain. (For Grid3D.)
resi
integer >= 2
1000 for 1D, 100 for 2D, and 30 for 3D
The number of points into which each dimension is discretized. res1, res2, and res3 for Grid 3D, for example.
source
function | data
function
Use a function or a dataset as the source.