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Information Journal Paper

Title

AN ADAPTIVE NONMONOTONE TRUST REGIONMETHOD FOR UNCONSTRAINED OPTIMIZATIONPROBLEMS BASED ON A SIMPLESUBPROBLEM

Pages

  95-117

Abstract

 Using a simple quadratic model in the trust region subproblem, a newadaptive nonmonotone trust region method is proposed for solving uncon-strained optimization problems. In our method, based on a slight modi ca-tion of the proposed approach in (J. Optim. Theory Appl. 158(2): 626-635, 2013), a new SCALAR APPROXIMATION OF THE HESSIAN at the current point isprovided. Our new proposed method is equipped with a new adaptive rulefor updating the radius and an appropriate nonmonotone technique. Undersome suitable and standard assumptions, the local and GLOBAL CONVERGENCEproperties of the new algorithm as well as its convergence rate are investi-gated. Finally, the practical performance of the new proposed algorithm isveri ed on some test problems and compared with some existing algorithmsin the literature.

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  • Cite

    APA: Copy

    SAEIDIAN, Z., & PEYGHAMI, M.R.. (2015). AN ADAPTIVE NONMONOTONE TRUST REGIONMETHOD FOR UNCONSTRAINED OPTIMIZATIONPROBLEMS BASED ON A SIMPLESUBPROBLEM. IRANIAN JOURNAL OF NUMERICAL ANALYSIS AND OPTIMIZATION, 5(2 ), 95-117. SID. https://sid.ir/paper/260836/en

    Vancouver: Copy

    SAEIDIAN Z., PEYGHAMI M.R.. AN ADAPTIVE NONMONOTONE TRUST REGIONMETHOD FOR UNCONSTRAINED OPTIMIZATIONPROBLEMS BASED ON A SIMPLESUBPROBLEM. IRANIAN JOURNAL OF NUMERICAL ANALYSIS AND OPTIMIZATION[Internet]. 2015;5(2 ):95-117. Available from: https://sid.ir/paper/260836/en

    IEEE: Copy

    Z. SAEIDIAN, and M.R. PEYGHAMI, “AN ADAPTIVE NONMONOTONE TRUST REGIONMETHOD FOR UNCONSTRAINED OPTIMIZATIONPROBLEMS BASED ON A SIMPLESUBPROBLEM,” IRANIAN JOURNAL OF NUMERICAL ANALYSIS AND OPTIMIZATION, vol. 5, no. 2 , pp. 95–117, 2015, [Online]. Available: https://sid.ir/paper/260836/en

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