A nonmonotone trust-region method of conic model for unconstrained optimization

اسناد مشابه

• A Nonmonotone trust region method with adaptive radius for unconstrained optimization problems

  سند علمی۲۰۱۰Computers & Mathematics with ApplicationsMasoud Ahookhosh, Keyvan Amini

  In this paper, we incorporate a nonmonotone technique with the new proposed adaptive trust region radius (Shi and Guo, 2008) [4] in order to propose a new nonmonotone trust region method with an adaptive radius for unconstrained optimization. Both the nonmonotone techniques and a

• An adaptive nonmonotone trust region method for unconstrained optimization problems based on a simple subproblem

  مقاله۲۰۱۵Iranian Journal of Numerical Analysis and OptimizationZ. Saeidian, M. R. Peyghami

  Using a simple quadratic model in the trust region subproblem, a new adaptive nonmonotone trust region method is proposed for solving unconstrained optimization problems. In our method, based on a slight modification of the proposed approach in (J. Optim. Theory Appl. 158(2):626-

• an adaptive nonmonotone trust region method for unconstrained optimization problems based on a simple subproblem

  مقالهiranian journal of numerical analysis and optimizationzeinab saeidian, mohammad reza peyghami

  using a simple quadratic model in the trust region subproblem, a new adaptive nonmonotone trust region method is proposed for solving unconstrained optimization problems. in our method, based on a slight modification of the proposed approach in (j. optim. theory appl. 158(2):626-

• A new nonmonotone trust-region method of conic model for solving unconstrained optimization

  مقاله‌ی دسترسی آزاد۲۰۱۰Journal of Computational and Applied MathematicsYingJi, YijunLi, KecunZhang, XinliZhang

• A nonmonotone trust-region method of conic model for unconstrained optimization

  مقاله‌ی دسترسی آزاد۲۰۰۸Journal of Computational and Applied MathematicsShao-JianQu, Ke-CunZhang, JianZhang

• Nonlinear stepsize control, trust regions and regularizations for unconstrained optimization

  سند علمی۲۰۱۳Optimization Methods and SoftwarePhilippe L. Toint

  A general class of algorithms for unconstrained optimization is introduced, which subsumes the classical trust-region algorithm and two of its newer variants, as well as the cubic and quadratic regularization methods. A unified theory of global convergence to first-order critical