Results 31 to 40 of about 17,094,571 (296)
Evaluation of estimation methods for parameters of the probability functions in tree diameter distribution modeling [PDF]
Environmental Resources Research, 2020 One of the most commonly used statistical models for characterizing the variations of tree diameter at breast height is Weibull distribution. The usual approach for estimating parameters of a statistical model is the maximum likelihood estimation ...
M. Teimouri +2 more
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Annals of the West University of Timisoara: Mathematics and Computer Science, 2016 In the present paper, we study the local convergence analysis of a fifth convergence order method considered by Sharma and Guha in [15] to solve equations in Banach space.
Argyros Ioannis K., George Santhosh
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Atangana-Seda numerical scheme apply to nonlinear circuit problems
Alexandria Engineering Journal, 2020 Based on the Newton polynomial which is accurate than the Lagrange polynomial, a new numerical scheme was introduced very recently by Atangana and Seda.
Badr Saad T. Alkahtani +1 more
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An inexact Newton-type method for inverse singular value problems [PDF]
, 2008 In this paper, an inexact Newton-type approach is proposed for solving inverse singular value problems. We show that the method converges superlinearly.
白正简, Bai, Z. J., Xu, S. F.
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Abstract and Applied Analysis, 2013 Newton-Kantorovich and Smale uniform type of convergence theorem of a deformed Newton method having the third-order convergence is established in a Banach space for solving nonlinear equations.
Rongfei Lin +4 more
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Newton method over networks is fast up to the statistical precision [PDF]
, 2021 We propose a distributed cubic regularization of the Newton method for solving (constrained) empirical risk minimization problems over a network of agents, modeled as undirected graph.
Scutari, Gesualdo +3 more
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An Efficient Sixth-Order Newton-Type Method for Solving Nonlinear Systems
Algorithms, 2017 In this paper, we present a new sixth-order iterative method for solving nonlinear systems and prove a local convergence result. The new method requires solving five linear systems per iteration.
Xiaofeng Wang, Yang Li
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PLoS ONE, 2013 Estimation of variance components by Monte Carlo (MC) expectation maximization (EM) restricted maximum likelihood (REML) is computationally efficient for large data sets and complex linear mixed effects models.
Kaarina Matilainen +4 more
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Extended Newton-type Method for Nonsmooth Generalized Equation under n,α-point-based Approximation
International Journal of Mathematics and Mathematical Sciences, 2022 Let X and Y be Banach spaces and Ω⊆X. Let f:Ω⟶Y be a single valued function which is nonsmooth. Suppose that F:X⇉2Y is a set-valued mapping which has closed graph.
M. Z. Khaton, M. H. Rashid
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An Approximate Quasi-Newton Bundle-Type Method for Nonsmooth Optimization
Abstract and Applied Analysis, 2013 An implementable algorithm for solving a nonsmooth convex optimization problem is proposed by combining Moreau-Yosida regularization and bundle and quasi-Newton ideas. In contrast with quasi-Newton bundle methods of Mifflin et al.
Jie Shen, Li-Ping Pang, Dan Li
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