New algorithms for function minimization

A new class of algorithms for function minimization is presented. The new algorithm are based upon homogeneous functions rather than quadratic models. A consequence of this is that (n+2) step convergence is obtained on homogeneous functions. Preliminary numerical tests indicate that, on general functions, the algorithm is superior to the well known Fletcher and Powell method.