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Implemented dfunc_tensor_opt() and d2func_tensor_opt() allowing all optimisation algorithms to be used.

The 'fixed' N-state model can now be optimised using Newton optimisation. On my machine, the
performance vs. Nelder-Mead simplex for ~20 states is a drop from ~1 hour to less than one minute!

bugman 2010-04-27

changed /1.3/maths_fns/n_state_model.py
/1.3/maths_fns/n_state_model.py Diff Switch to side-by-side view
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