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Nexxim Simulator > Gaussian Distribution with Relative SpreadTo define a Monte Carlo netlist parameter with Gaussian distribution and relative spread, use the following syntax: .PARAM name=GAUSS(mean, rel_spread[, num_sigma][, multiplier]) Monte Carlo values will be generated from a Gaussian distribution with standard deviation: σ = (mean × rel_spread)/num_sigma If num_sigma is not specified, the default is 3, so that the spread represents three standard deviations. If a multiplier is specified, that many values will be generated, the value that has the highest absolute deviation from the mean will be used in the simulation, and the other values will be discarded. The default is to do one selection. For example, to define a Gaussian distribution with a mean of 10 and a standard deviation of 50% of the mean, using a relative spread: .PARAM D1=GAUSS(10, 0.5, 1) A relative distribution cannot have a mean of zero. To create an actual distribution with relative range and zero mean, you could use a secondary variable: .PARAM D1=GAUSS(10, 0.5, 1) Alternatively, you could use the expression to set the instance or model parameter: R21 Vin 0 R='1000 + (D1 - 10)' HFSS视频教程 ADS视频教程 CST视频教程 Ansoft Designer 中文教程 |
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