Grid1D, Grid2D, Grid3D

Create a data set that can evaluate 1D, 2D, or 3D functions or other data sets on a domain with a grid. For example, you can use these data sets 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 data set feature named <dtag>.

This data set provides support for evaluation of functions or other data sets 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 7-33: Valid Property/Value Pairs for Grid Data Sets

Name	Value	Default	Description
data	none | data set tag	none	The data set this feature refers to.
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 data set as the source.