An Adjustable Algorithm Based on Non-Monotone Strategy for Optimization Problems

Journal Title: Scholars Bulletin - Year 2016, Vol 2, Issue 4

Abstract

Abstract: This paper devotes to incorporating a non-monotone strategy with an adjusted trust region radius to propose a more efficient trust region approach for unconstrained optimization. The primary objective of the paper is to introduce a more relaxed trust region approach based on a novel extension in trust region ratio and radius. The global convergence is proved under some reasonable conditionst. Keywords: unconstrained optimization; trust region; non-monotone strategy; adjustable radius; global convergence.

Authors and Affiliations

Shaojing Lian, Qiang Hua

Keywords

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  • EP ID EP379409
  • DOI -
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How To Cite

Shaojing Lian, Qiang Hua (2016). An Adjustable Algorithm Based on Non-Monotone Strategy for Optimization Problems. Scholars Bulletin, 2(4), 185-191. https://europub.co.uk/articles/-A-379409