Average, Integral, Maximum, Minimum

Create average. integral, maximum, and minimum evaluation datasets.

Syntax

model.result().dataset().create(<dtag>,"Average");

model.result().dataset().create(<dtag>,"Integral");

model.result().dataset().create(<dtag>,"Maximum");

model.result().dataset().create(<dtag>,"Minimum");

model.result().dataset(<dtag>).set(property, <value>);

model.result().dataset(<dtag>).selection(...);

Description

model.result().dataset().create(<dtag>,"Average") creates a dataset named <dtag> that computes the average of another dataset.

model.result().dataset().create(<dtag>,"Integral") creates a dataset named <dtag> that computes the integral of another dataset.

model.result().dataset().create(<dtag>,"Maximum") creates a dataset named <dtag> that computes the maximum of another dataset.

model.result().dataset().create(<dtag>,"Minimum") creates a dataset named <dtag> that computes the minimum of another dataset.

model.result().dataset(<dtag>).selection() returns the selection of the geometry for the dataset, which by default is the selected geometry in the dataset that this dataset refers to. See Selections for more information about the available selection methods.

model.result().dataset(<dtag>).set(property,<value>) sets the value of a property of the dataset.

The following common properties are available:

Table 7-12: Common Property/Value Pairs
Property	Value	Default	Description
data	none \| dataset name	First compatible dataset	The dataset this feature refers to.
level	fromdataset \| volume \| surface \| edge \| point	fromdataset	The element dimension; if fromdataset, then the highest dimension supported by the dataset is used.

The following additional properties are available for some of the evaluation datasets:

Table 7-13: additional Property/Value Pairs
Property	Value	Default	Description
intorderactive	on \| off	off	For Average and Integral: Whether to use manually specified integration order.
intorder	positive integer	4	For Average and Integral and for Maximum and Minimum when points is set to integration: The manually set integration order.
intsurface	Boolean	false	For Average and Integral: Compute surface integral for 1D axisymmetric data.
intvolume	Boolean	false	For Average and Integral: Compute volume integral for 2D axisymmetric data.
method	auto \| integration \| summation	auto	For Average and Integral: The integration method.
points	lagrange \| node \| integration	lagrange	The evaluation points for the maximum or minimum: Lagrange points, node points, or integration points.
refine	positive integer	2	For Maximum and Minimum when points is set to lagrange: The Lagrange order (element refinement) to use. Bear in mind that this is the refinement used for the base dataset, so the number of elements in the model can increase radically if the plot uses, for example, a revolve dataset.