  We present a reconstruction of jet geometry models using numerical methods
based on a Markov ChainMonte Carlo (MCMC) and limited memory
Broyden-Fletcher-Goldfarb-Shanno (BFGS) optimized algorithm. Our aim is to
model the three-dimensional geometry of an AGN jet using observations, which
are inherently two-dimensional. Many AGN jets display complex hotspots and
bends over the kiloparsec scales. The structure of these bends in the jets
frame may be quite different than what we see in the sky frame, transformed by
our particular viewing geometry. The knowledge of the intrinsic structure will
be helpful in understanding the appearance of the magnetic field and hence
emission and particle acceleration processes over the length of the jet. We
present the method used, as well as a case study based on a region of the M87
jet.
