Monte Carlo Analysis

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 random number seed can be specified for a Monte Carlo analysis in order to reproduce statistical distributions.
	Back to Products page