Then the posterior distribution is the updated prior distribution given the sample information. The posterior probability density function is proportional to observed likelihood function × prior ...

For other subroutines, the FUN module must return the value of the objective function f=f(x) evaluated at the point x. The argument x0 specifies a row vector that defines the number of parameters n.

The eight-person jury hearing Apple’s patent infringement case against Samsung was thrown into the deep end Monday and subjected to some heady talk of subroutines and class libraries. It was a ...