I'm using vnl_amoeba class for minimisation of my multidimensional
function and have some confusing behaviour... The result of the
optimisation ("minimisation") is bigger than the starting value. Has
anyone experienced similar problems?
My understanding of the Downhill Simplex Method is that we always keep
"lowest" simplex point, so we never get function value which is worse
than initial. Is it correct?