y = dnorm(x,m,s)
Input x real vector or matrix
m mean (default value is 0)
s standard deviation (default value is 1)
Output y normal density function with mean m and standard
deviation s, at the values of x :
y=exp(-0.5*((x-m)./s)^2)./sqrt(2pi*s)