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A Modified estimation for the steplenght of a descent nonlinear algorithm | ||
| Kirkuk Journal of Science | ||
| Article 1, Volume 4, Issue 2, 2009, Pages 94-107 PDF (0 K) | ||
| DOI: 10.32894/kujss.2009.39976 | ||
| Authors | ||
| Abbas Y. AL-Bayati; and Ivan Subhi Latif | ||
| Abstract | ||
| In this paper, we have presented a numerical algorithm for the step-size estimation for minimization problems. Global convergence results are derived for descent algorithms in which the line search step is replaced by a step whose length is determined by step-size estimation formula. Numerical results show that the new estimation step-size required less storage and greatly speeded up the convergence of the gradient algorithm for large-scale unconstrained optimization problems. Also the new proposed algorithm seems to converge better and superior to other similar algorithms in many situations. | ||
| Keywords | ||
| A Modified; Estimation; the steplenght; a descent; nonlinear; algorithm | ||
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