Integrated Monte Carlo routines emulate the construction of hundreds
of circuits, each containing an assortment of parts with parameters
picked from distributions you choose. This helps assess the reliability
and improve the production yield of the circuit. You can use both
absolute and relative tolerances, and you can choose from worst case,
Gaussian, and uniform distributions. For easy inspection and review,
Micro-Cap generates the results in both numeric and histogram form.
A histogram can have user specified ranges and intervals. You can set
performance criteria, and reconstruct circuits with parameters that
failed during a Monte Carlo run.
Many tolerance options are available for Micro-Cap. The capability to
tolerance .define parameters (symbolic variables) along with model
parameters exists and LOT and DEV extensions allow unique distributions
for individual parameters rather than a single distribution for all
parameters.
A tolerance function can rapidly apply tolerance values individually
or from a master template.
A random number seed can be specified for a Monte Carlo analysis in
order to reproduce statistical distributions.
