Partial Pearson-two (PP2) of quasi newton method for unconstrained optimization | ||
| Tikrit Journal of Pure Science | ||
| Article 1, Volume 21, Issue 3, May 2016, Pages 174-179 | ||
| Authors | ||
| Basheer M. Salih; Khalil K. Abbo; Zeyad M. Abdullah | ||
| Abstract | ||
| In this paper, we developing new quasi-Newton method for solving unconstrained optimization problems .The nonlinear Quasi-newton methods is widely used in unconstrained optimization[1]. However,. We consider once quasi-Newton which is (Pearson-two) update formula [2], namely, Partial P2. Most of quasi-Newton methods don't always generate a descent search directions, so the descent or sufficient descent condition is usually assumed in the analysis and implementations [3] . Descent property for the suggested method is proved. Finally, the numerical results show that the new method is also very efficient for general unconstrained optimizations [4]. | ||
| Keywords | ||
| unconstrained Optimization; Pearson; two QN method; global convergence | ||
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