scientific article; zbMATH DE number 938958

zbMath0858.90119MaRDI QIDQ4897130

Ji-ye Han, Guang-Hui Liu

Publication date: 23 March 1997

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

zbMATH Keywords

unconstrained optimizationglobal convergenceBFGS algorithmacceptability stepsize selection rule of linesearch

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30)

Related Items (9)

Global convergence properties of the modified BFGS method associating with general line search model ⋮ A type of modified BFGS algorithm with any rank defects and the local \(Q\)-superlinear convergence properties ⋮ The global convergence of self-scaling BFGS algorithm with non-monotone line search for unconstrained nonconvex optimization problems ⋮ Global convergence properties of two modified BFGS-type methods ⋮ Nonmonotone BFGS-trained recurrent neural networks for temporal sequence processing ⋮ Global convergence of a modified BFGS-type method for unconstrained non-convex minimization ⋮ The global and superlinear convergence of a new nonmonotone MBFGS algorithm on convex objective functions ⋮ A modified BFGS method and its superlinear convergence in nonconvex minimization with general line search rule ⋮ Global convergence of nonmonotone descent methods for unconstrained optimization problems

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