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Appendix A: Statistical Analysis Monte Carlo Analysis Monte Carlo Examples Note: HSPICE supports Monte Carlo analysis; HSPICE RF does not. Gaussian, Uniform, and Limit Functions This example is based on demonstration netlist mont1.sp, which is available in directory $<installdir>/demo/hspice/apps: mont1.sp test of monte carlo gaussian, uniform, and limit functions .option post .dc monte=60 * setup plots .probe .probe .probe .probe .probe aunif_1=v(au1) aunif_10=v(au10) agauss_1=v(ag1) agauss_10=v(ag10) limit=v(l1) * uniform distribution relative variation +/- .2 .param ru_1=unif(100,.2) iu1 u1 0 -1 ru1 u1 0 ru_1 * absolute uniform distribution absolute variation +/- 20 * single throw and 10 throw maximum .param rau_1=aunif(100,20) .param rau_10=aunif(100,20,10) iau1 au1 0 -1 rau1 au1 0 rau_1 iau10 au10 0 -1 rau10 au10 0 rau_10 * gaussian distribution relative variation +/- .2 at 3 sigma .param rg_1=gauss(100,.2,3) ig1 g1 0 -1 rg1 g1 0 rg_1 560 HSPICE® Simulation and Analysis User Guide Y-2006.03
