scientific article; zbMATH DE number 7312754

zbMath1455.65094MaRDI QIDQ4963427

Tayebeh Dehghan Niri, Seyed Mohammad Mehdi Hosseini, Mohammad Mehdi Heydari

Publication date: 18 February 2021

Full work available at URL: https://www.ijmex.com/index.php/ijmex/article/view/601

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

convergence analysisunconstrained optimizationnonconvextrust-region methodregularized Newton method

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonconvex programming, global optimization (90C26) Nonlinear programming (90C30)

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An improvement of adaptive cubic regularization method for unconstrained optimization problems ⋮ Two modified adaptive cubic regularization algorithms by using the nonmonotone Armijo-type line search ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Two nonmonotone trust region algorithms based on an improved Newton method ⋮ A two-step improved Newton method to solve convex unconstrained optimization problems ⋮ A smoothing Newton method with a mixed line search for monotone weighted complementarity problems ⋮ Correction of trust region method with a new modified Newton method

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