Humungus
Full Member level 6
I come again with another phylosophical question;-)
Normally, Monte Carlo methods assure that 30 runs are enough to be sure at a 90 percent that 96 percent of your designs will be between the maximum and minimum values found by the Monte Carlo simulations.
I supose that this is for only one parameter varying, isn't it?
What can the industrial guys say?
For a system where more than 20 parameters can be varying at same time, how many simulations we should do?
Normally, Monte Carlo methods assure that 30 runs are enough to be sure at a 90 percent that 96 percent of your designs will be between the maximum and minimum values found by the Monte Carlo simulations.
I supose that this is for only one parameter varying, isn't it?
What can the industrial guys say?
For a system where more than 20 parameters can be varying at same time, how many simulations we should do?