Werner Exinger wrote:
I see no practical way to automate this, though.
No, but with a complicated function it might be less error prone to use Mathcad in this way.
BTW, if I recall it correctly PSPICE is using kind of a Monte Carlo method to get the range of the result if components with tolerances are used.
This is fine if you know the error distribution types.
If there are "enough" error variables, whatever their individual distributions they will combine to form (approximately) a normal distribution, so you could root sum square the absolute error terms rather than summing them.
Incidentally, the last expression in my example is better as:
since u and at are essentially 100% correlated with respect to errors in t.
Alan