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Evaluates the normal (Gaussian) probability density function (PDF) for real-valued argument x

$$f(x)=\frac{1}{\sqrt{2\pi \sigma^{2}}}e^{-\frac{(x-\mu)^{2}}{2\sigma^{2}}}$$

where µ is the mean and σ is the standard deviation. By default, μ=0 and σ=1.

 Note: The normal PDF is symmetric with skewness γ1=0 and kurtosis β2=3.

 Supported Product: FDTD, MODE, DEVICE, INTERCONNECT

 Syntax Description f = normpdf(x) Returns the normal (Gaussian) probability density function (PDF) for real-valued argument x. By default, μ=0 and σ=1 f = normpdf(x,mu,sigma) Returns the normal (Gaussian) probability density function (PDF) for real-valued argument x. µ is the mean and σ is the standard deviation.