Wang, Chang-Yu; Chen, Yuan-Yuan; Du, Shou-Qiang Further insight into the Shamanskii modification of Newton method. (English) Zbl 1103.65071 Appl. Math. Comput. 180, No. 1, 46-52 (2006). Summary: A new Wolfe-type line search is proposed, and the global and superlinear convergence of Shamanskii’s method [cf. V. E. Shamanskij, On a modification of Newton’s method. Ukr. Mat. Zh. 19, 133–138 (1967; Zbl 0176.13802)] with the new line search are proved under mild assumptions. Furthermore, the iterative scheme of the Shamanskii method is also generalized. Cited in 9 Documents MSC: 65K05 Numerical mathematical programming methods 90C30 Nonlinear programming Keywords:unconstrained optimization; Shamanskii method; global and superlinear convergence; line search; Newton’s method Citations:Zbl 0176.13802 Software:KELLEY PDF BibTeX XML Cite \textit{C.-Y. Wang} et al., Appl. Math. Comput. 180, No. 1, 46--52 (2006; Zbl 1103.65071) Full Text: DOI References: [1] Shamanskii, V. E., On a modification of Newton’s method, Ukrainskyi Matematychnyi Zhurnal, 19, 133-138 (1967), (in Russian) · Zbl 0176.13802 [2] Gill, P. E.; Murray, W., Newton-type methods for unconstrained and linearly constrained optimization, Mathematical Programming, 7, 311-350 (1974) · Zbl 0297.90082 [3] Hammerlin, G.; Hoffmann, K. H., Numerische Mathematik (1989), Springer-Verlag: Springer-Verlag New York · Zbl 0669.65001 [4] Kelley, C. Y., Iterative Methods for Optimization (1999), SIAM: SIAM Philadelphia, PA · Zbl 0934.90082 [5] Ortega, J. M.; Rheinboldt, W. C., Iterative Solution of Nonlinear Equations in Several Variables (1970), Academic Press: Academic Press New York, NY · Zbl 0241.65046 [6] Bertsekas, D. P., Constrained Optimization and Lagrange Multiplier Methods (1980), Academic Press: Academic Press New York, NY [7] Lamparillo, F.; Sciandrone, M., Global convergence technique for the Newton method with periodic Hessian evaluation, Journal of Optimization Theory and Applications, 111, 2, 341-358 (2001) · Zbl 1032.90045 This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.