EvalGlobalMatrix
Evaluate global matrix quantities.
Syntax
model.result().numerical().create(<ftag>,"EvalGlobalMatrix");
model.result().numerical(<ftag>).set(property, <value>);
model.result().numerical(<ftag>).getReal();
model.result().numerical(<ftag>).getReal(<columnwise>);
model.result().numerical(<ftag>).getReal(<outersolnum>);
model.result().numerical(<ftag>).getReal(<columnwise>,<outersolnum>);
model.result().numerical(<ftag>).getImag();
model.result().numerical(<ftag>).getImag(<allocate>, <columnwise>);
model.result().numerical(<ftag>).getImag(<outersolnum>);
model.result().numerical(<ftag>).getImag(<allocate>, <columnwise>,<outersolnum>);
model.result().numerical(<ftag>).isComplex();
model.result().numerical(<ftag>).isComplex(<outersolnum>);
model.result().numerical(<ftag>).computeResult();
model.result().numerical(<ftag>).setResult();
model.result().numerical(<ftag>).appendResult();
Description
model.result().numerical().create(<ftag>,"EvalGlobalMatrix") creates an evaluation feature with the name <ftag>.
model.result().numerical(<ftag>).getReal() returns the real result, recomputing the feature if necessary. Data is ordered such that one row contains data for all solution numbers. This is identical to (<columnwise>) when columnwise is false. If columnwise is true, the ordering is the opposite: each column contains the values for all solution numbers.
model.result().numerical(<ftag>).getImag(<allocate>, <columnwise>) returns the imaginary part of complex result, recomputing the feature if necessary. If allocate is true, a zero-valued matrix is allocated even when the result is real. getImag() uses <allocate> true and <columnwise> false.
model.result().numerical(<ftag>).isComplex() returns true if the result is complex. The resulting value is a scalar, which true if any of the expressions in an array is complex-valued.
model.result().numerical(<ftag>).isComplex(<outersolnum>) returns true if the result is complex for the given outer solution. <outersolnum> is applicable only for parametric sweep solutions and is the index of each outer parametric solution.
model.result().numerical(<ftag>).computeResult() returns the matrix of data that the setResult method adds to a table. The matrix includes data only, not the parameter columns, and it does not use any table-specific settings.
model.result().numerical(<ftag>).setResult() and model.result().numerical(<ftag>).appendResult() evaluates the feature and set or append the result in the table indicated by the table property.
The following properties are available:
Table 7-35: Valid Property/Value Pairs for Global Matrix Evaluation
name
Value
Default
Description
const
String array of property/value pairs
Empty
Parameters to use in the expressions.
data
none | parent | dataset name
First compatible dataset
The dataset this feature refers to. parent is only applicable if used in an evaluation group.
dataseries
average | none | sum
none
The operation that is applied to the data series formed by the evaluation over inner parameters (solutions).
descr
String
Model dependent
The description of the expression in expr. Is used in the automatic title.
differential
on | off
on
Whether the expression should be linearized at the linearization point. Applicable only if evalmethod is harmonic.
evalmethod
linpoint | harmonic | lintotal | lintotalavg | lintotalrms | lintotalpeak
harmonic
Applicable only for solutions with a stored linearization point. Controls if the linearization point, the perturbation, or a combination should be used when evaluating the expression.
expr
String
Model dependent
The matrix variable to plot.
ignorenan
on | off
on
When on, NaN is ignored when taking the average in the inner or outer data series. If all entries are NaN for a given component, however, you get NaN as output.
innerinput
all | first | last | manual | manualindices | interp
all
How to input the solution to use. manual indicates that solnum is used. manualindices indicates that solnumindices is used. interp indicates that t is used.
interp
double row matrix
Empty on all levels
The times to use, for transient levels. Available when data is not parent and the underlying data is transient.
looplevel
integer row matrix
All solutions on all levels
The solutions to use, per level.
looplevelindices
integer row matrix
Empty
An alternative way to specify the solutions to use, allowing you to enter, for example, range(1,1,20). Applicable when looplevelinput is manualindices on a level.
looplevelinput
String array with all | first | last | manual | manualindices | interp on each level
all on all levels
How to input the solution to use, per level. manual on a level indicates that looplevel is used on that level. manualindices on a level indicates that looplevelindices is used on that level. interp on a level indicates that interp is used on that level.
outerdataseries
average | none | sum
none
The operation that is applied to the data series formed by the evaluation over outer parameters (solutions).
outerinput
all | first | last | manual | manualindices
all
How to input the outer solutions to use. Applicable only for parametric sweep models. manual indicates that outersolnum is used. manualindices indicates that outersolnumindices is used.
outersolnum
nonnegative integer array
1
The index of the outer solutions to use. Applicable only for parametric sweep models. Since the various outer solutions can have different number of solnum, the solnum property is not used.
outersolnumindices
String or integer array
Empty
An alternative way to specify the outer solutions to use, allowing you to enter, for example, range(1,1,20). Applicable when outerinput is manualindices.
solnum
nonnegative integer array
All solutions
The solutions to use.
solnumindices
String or integer array
Empty
An alternative way to specify the solutions to use, allowing you to enter, for example, range(1,1,20). Applicable when innerinput is manualindices.
solrepresentation
solnum | solutioninfo
solutioninfo
Indicates which method of selecting solutions is active.
solutionparams
manual | parent
manual
If data is a local dataset with nontrivial data and this feature is part of an evaluation group, specify solutions manually or take them from the parent evaluation group.
t
double array
Empty
The times to use. Available when the underlying solution is transient.
table
new | table name
new
The table to use when calling setResult() or appendResult(). new indicates that a new table is created.
tablerows
inner | outer
inner
Whether to use inner or outer solutions as rows in the table when calling setResult() or appendResult(). Applicable only for parametric sweep models.
trans
none | inverse | sy | sz | ys | yz | zs | zy | maxwellmutual | mutualmaxwell | invmaxwellmutual
none
The transformation to apply to the matrix. sy means a transformation from S to Y, and so on. The maxwellmutual mutualmaxwell, and invmaxwellmutual transformations are from Maxwell to mutual capacitance, and vice versa, and from an inverse Maxwell to mutual capacitance.
unit
String
Model dependent
The unit to use for the expression in expr. If the old unit is not valid when the expression changes, the unit property is reset to default.
y0
double array
Taken from the physics interfaces.
If trans is sy or ys: The characteristic admittance.
z0
double array
Taken from the physics interfaces.
If trans is sz or zs: The characteristic impedance.
See Also
EvalGlobal, Eval, EvalPoint, EvalPointMatrix, EvalGlobalSweep