Results 161 to 170 of about 10,998,730 (181)
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Improvements of the Newton–Raphson method

Journal of Computational and Applied Mathematics, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On Newton's method

TRU Mathematics, 1986
The author has investigated the differential calculus in a linear space whose convergence structure is defined by neighborhoods of the origin, that are not necessarily symmetric. One example of such spaces is the set of all real numbers, where neighborhoods of a point x are \([x,x+\epsilon)\) for \(\epsilon >0\). This space is nonmetrizable.
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Gauss–Newton method

2018
Capítulo del libro "Contemporary study of iterative methods: convergence, dynamics and applications"
Magreñán, Á. Alberto   +1 more
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An acceleration of the continuous Newton’s method

Journal of Computational and Applied Mathematics, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
José M. Gutiérrez 0001   +1 more
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Newton’s Method

open access: yes, 2021
Capítulo del libro "Contemporary study of iterative methods: convergence, dynamics and applications"The center Lipschitz condition is used in this chapter, together with the Lipschitz condition, in order to obtain weaker convergence criteria to ensure ...
Argyros, Ioannis K   +1 more
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On an Aitken–Newton type method

Numerical Algorithms, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ion Pavaloiu, Emil Catinas
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A Superquadratic Variant of Newton's Method

SIAM Journal on Numerical Analysis, 2017
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Accelerated Convergence in Newton’s Method

SIAM Review, 1996
Assume that \(f'(a)\neq 0\), while \(f(a)=f''(a)=\dots=f^{(M-1)}(a)=0\) for some \(M\geq 0\). It is shown that Newton's method has at least order \(M\) in this case. Following an idea of \textit{J. Gerlach} [ibid. 36, No. 2, 272-276 (1994; Zbl 0814.65046)] this observation is used for the construction of higher-order moments for the determination of ...
William F. Ford, James A. Pennline
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An asynchronous parallel newton method

Mathematical Programming, 1988
A parallel Newton method is described for the minimization of a twice continuously differentiable uniformly convex function F(x). The algorithm generates a sequence \(\{x_ j\}\) which converges superlinearly to the global minimizer of F(x).
H. Fischer, Klaus Ritter
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The improvements of modified Newton’s method

Applied Mathematics and Computation, 2007
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