max_outer()
Computes the maximum across the outer dimension of two-dimensional data
Syntax
y = max_outer(data)
Arguments
| Name | Description | Range | Type | Required |
|---|---|---|---|---|
| data | 2-dimensional data to find max | (-∞, ∞) | integer, real, complex | yes |
Examples
y = max_outer(data)
Defined in
$HPEESOF_DIR/expressions/ael/statistcal_fun.ael
See Also
fun_2d_outer(), mean_outer(), min_outer()
Notes/Equations
The max function operates on the inner dimension of two-dimensional data. The max_outer function just calls the fun_2d_outer function, with max being the applied operation. As an example, assume that a Monte Carlo simulation of an amplifier was run, with 151 random sets of parameter values, and that for each set the S-parameters were simulated over 26 different frequency points. S21 becomes a [151 Monte Carlo iteration X 26 frequency] matrix, with the inner dimension being frequency, and the outer dimension being Monte Carlo index. Now, assume that it is desired to know the maximum value of the S-parameters at each frequency. Inserting an equation max(S21) computes the maximum value of S21 at each Monte Carlo iteration. If S21 is simulated from 1 to 26 GHz, it computes the maximum value over this frequency range, which usually is not very useful. Inserting an equation max_outer(S21) computes the maximum value of S21 at each frequency.
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