A homogeneous method for unconstrained optimization
Copyright policy ) S. V. Alexopoulos;
A homogeneous method for unconstrained optimization
Abstract A new algorithm for function minimization is presented. This algorithm is based upon homogenous functions. Consequently a (n + 2) step convergence is obtained for homogenous functions on (n) variables, while evaluation or estimation of the Hessian matrix is not needed. Numerical results on many general tests functions indicate that the algorithm is very robust and very efficient.
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Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 1
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