| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4629685 | Applied Mathematics and Computation | 2012 | 12 Pages |
Abstract
We introduce a new algorithm for the unconstrained optimization, based on introducing the random parameter θ â (0, 1) in the standard iterative scheme for the descent gradient method. Thus, some recent results are improved.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Snežana S. ÃorÄeviÄ,