•
|
None (the default) to not apply any normalization.
|
•
|
First to normalize with respect to the first value within each column; that is, the first value is set to 1.
|
•
|
Last to normalize with respect to the last value within each column; that is, the last value is set to 1.
|
•
|
Maximum absolute value to normalize with respect to the maximum absolute value within each column; that is, the table value that is the maximum absolute value is set to 1. This normalization preserves the sign of negative numbers and the argument of complex-valued numbers.
|
•
|
None (the default) to not apply any data series operation.
|
•
|
Average to evaluate the average of the data series.
|
•
|
Maximum to evaluate the maximum of the data series. If Maximum is selected, select an option from the Find maximum of list: Real part or Absolute value.
|
•
|
Minimum to evaluate the minimum of the data series. If Minimum is selected, select an option from the Find minimum of list: Real part or Absolute value.
|
•
|
Integral to evaluate the integral of the data series.
|
•
|
•
|
•
|
Auto (the default): The automatic method uses integration whenever it is possible; otherwise, it uses summation.
|
•
|
Integration: Compute the values using integration (treating the data as samples of a continuous function; see note below).
|
•
|
Summation: Compute the values using summation of the data values. Summation can be useful when there are parameters on the rows, or different load cases, which you want to compute a linearly sum for rather than an integral.
|