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LOCAL CONVERGENCE OF INEXACT NEWTON-LIKE METHOD UNDER WEAK LIPSCHITZ CONDITIONS
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作者 Ioannis KARGYROS yeol je cho +1 位作者 Santhosh GEORGE Yibin XIAO 《Acta Mathematica Scientia》 SCIE CSCD 2020年第1期199-210,共12页
The paper develops the local convergence of Inexact Newton-Like Method(INLM)for approximating solutions of nonlinear equations in Banach space setting.We employ weak Lipschitz and center-weak Lipschitz conditions to p... The paper develops the local convergence of Inexact Newton-Like Method(INLM)for approximating solutions of nonlinear equations in Banach space setting.We employ weak Lipschitz and center-weak Lipschitz conditions to perform the error analysis.The obtained results compare favorably with earlier ones such as[7,13,14,18,19].A numerical example is also provided. 展开更多
关键词 INEXACT NEWTON method BANACH space semilocal convergence WEAK and center-weak LIPSCHITZ condition recurrent functions KANTOROVICH hypotheses
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Fixed Point and Common Fixed Point Theorems for Cyclic Quasi-Contractions in Metric and Ultrametric Spaces
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作者 Parin Chaipunya yeol je cho +1 位作者 Wutiphol Sintunavarat Poom Kumam 《Advances in Pure Mathematics》 2012年第6期401-407,共7页
In this paper, we prove introduce some fixed point theorems for quasi-contraction under the cyclical conditions. Then, we point out that a common fixed point extension is also applicable via our earlier results equipp... In this paper, we prove introduce some fixed point theorems for quasi-contraction under the cyclical conditions. Then, we point out that a common fixed point extension is also applicable via our earlier results equipped together with a weaker cyclical properties, namely a co-cyclic representation. Examples are as well provided along this paper. 展开更多
关键词 CYCLIC Quasi-Contraction Co-Cyclic Quasi-Contraction METRIC SPACE ULTRAMETRIC SPACE
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A New Inertial Self-adaptive Gradient Algorithm for the Split Feasibility Problem and an Application to the Sparse Recovery Problem
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作者 Nguyen The VINH Pham Thi HOAI +1 位作者 Le Anh DUNG yeol je cho 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2023年第12期2489-2506,共18页
In this paper,by combining the inertial technique and the gradient descent method with Polyak's stepsizes,we propose a novel inertial self-adaptive gradient algorithm to solve the split feasi-bility problem in Hil... In this paper,by combining the inertial technique and the gradient descent method with Polyak's stepsizes,we propose a novel inertial self-adaptive gradient algorithm to solve the split feasi-bility problem in Hilbert spaces and prove some strong and weak convergence theorems of our method under standard assumptions.We examine the performance of our method on the sparse recovery prob-lem beside an example in an infinite dimensional Hilbert space with synthetic data and give some numerical results to show the potential applicability of the proposed method and comparisons with related methods emphasize it further. 展开更多
关键词 Split feasibility problem CQ algorithm Hilbert space sparse recovery problem
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