A hybrid of adjustable trust-region and nonmonotone algorithms for unconstrained optimization
- 1 May 2014
- journal article
- Published by Elsevier BV in Applied Mathematical Modelling
- Vol. 38 (9-10), 2601-2612
- https://doi.org/10.1016/j.apm.2013.10.062
Abstract
No abstract availableThis publication has 22 references indexed in Scilit:
- COMBINATION ADAPTIVE TRUST REGION METHOD BY NON-MONOTONE STRATEGY FOR UNCONSTRAINED NONLINEAR PROGRAMMINGAsia-Pacific Journal of Operational Research, 2011
- A new trust region method for unconstrained optimizationJournal of Computational and Applied Mathematics, 2008
- A Nonmonotone Line Search Technique and Its Application to Unconstrained OptimizationSIAM Journal on Optimization, 2004
- A nonmonotone adaptive trust region method and its convergenceComputers & Mathematics with Applications, 2003
- Automatic Determination of an Initial Trust Region in Nonlinear ProgrammingSIAM Journal on Scientific Computing, 1997
- Non-monotone trust-region algorithms for nonlinear optimization subject to convex constraintsMathematical Programming, 1997
- An Assessment of Nonmonotone Linesearch Techniques for Unconstrained OptimizationSIAM Journal on Scientific Computing, 1996
- Nonmonotonic trust region algorithmJournal of Optimization Theory and Applications, 1993
- A truncated Newton method with nonmonotone line search for unconstrained optimizationJournal of Optimization Theory and Applications, 1989
- A Nonmonotone Line Search Technique for Newton’s MethodSIAM Journal on Numerical Analysis, 1986