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An improved strongly sub-feasible SSLE method for optimization problems and numerical experiments
- Source :
-
Applied Mathematics & Computation . May2011, Vol. 217 Issue 17, p7226-7237. 12p. - Publication Year :
- 2011
-
Abstract
- Abstract: In this paper, the super-linearly and quadratically convergent strong sub-feasible method [J.L. Li, J.B. Jian, A superlinearly and quadratically convergent strongly subfeasible method for nonlinear inequality constrained optimization, OR Transactions, 7 (2) (2003) 21–34] for nonlinear inequality constrained optimization is improved, such that the iterative points can get into the feasible region after a finite number of iterations. As a result, a strict restricted condition can be overcome. Another two contributions of this paper are that a new bidirectional Armijo line search is presented and a lot of numerical comparison results are reported. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 00963003
- Volume :
- 217
- Issue :
- 17
- Database :
- Academic Search Index
- Journal :
- Applied Mathematics & Computation
- Publication Type :
- Academic Journal
- Accession number :
- 59454457
- Full Text :
- https://doi.org/10.1016/j.amc.2011.02.012