Results 41 to 50 of about 182 (158)
The problem of torsion of a bar with circular cross-section is considered. The bar is made of the material with a stress-strain diagram having the falling branch describing the softening state.
Valery V Struzhanov, Elena A Bakhareva
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New and Generalized Convergence Conditions for the Newton-Kantorovich Method [PDF]
For a nonlinear operator equation on a Banach space a semilocal convergence theorem for Newton's method is proved using a majorant principle. This is shown to provide some weakening of the usual results based on Lipschitz conditions. Few connections are made to the literature on other related work involving majorization techniques.
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Adapted Newton-Kantorovich Methods for Nonlinear Integral Equations [PDF]
For this work, the main idea is to make an adapted modification to the Newton-Kantorovich method destined to solve a nonlinear integral equations, so that by this technical method we obtain a simple application to this solution. Moreover, we compare the numerical results obtained by this method against ones obtained by another authors.
Mostefa Nadir, Amina Khirani
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Numerical solution of falkner-skan equation by iterative transformation method
In this paper, we study the nonlinear boundary-layer equation of Falkner-Skan defined on a semi-infinite domain. An iterative finite difference (IFD) scheme is proposed to numerically solve such nonlinear ordinary differential equation.
Helmi Temimi, Mohamed Ben-Romdhane
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A simplified proof of the Kantorovich theorem for solving equations using telescopic series
We extend the applicability of the Kantorovich theorem (KT) for solving nonlinear equations using Newton-Kantorovich method in a Banach space setting.
Ioannis K. Argyros, Hongmin Ren
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Solving functional nonlinear equations leads to the question: which to begin with, linearization or discretization? Recent papers confirmed that linearizing then discretizing (L.D) is better.
Ilyes Sedka +2 more
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Identification and estimation of continuous‐time dynamic discrete choice games
This paper considers the theoretical, computational, and econometric properties of continuous‐time dynamic discrete choice games with stochastically sequential moves, introduced by Arcidiacono, Bayer, Blevins, and Ellickson (2016). We consider identification of the rate of move arrivals, which was assumed to be known in previous work, as well as a ...
Jason R. Blevins
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ABSTRACT This study presents a new optimized block hybrid method and spectral simple iteration method (OBHM‐SSIM) for solving nonlinear evolution equations. In this method, we employed a combination of the spectral collocation method in space and the optimized block hybrid method in time, along with a simple iteration scheme to linearize the equations.
Salma Ahmedai +4 more
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Multivariate Neural Network Operators: Simultaneous Approximation and Voronovskaja‐Type Theorem
ABSTRACT In this paper, the simultaneous approximation and a Voronoskaja‐type theorem for the multivariate neural network operators of the Kantorovich type have been proved. In order to establish such results, a suitable multivariate Strang–Fix type condition has been assumed.
Marco Cantarini, Danilo Costarelli
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Using decomposition of the nonlinear operator for solving non‐differentiable problems
Starting from the decomposition method for operators, we consider Newton‐like iterative processes for approximating solutions of nonlinear operators in Banach spaces. These iterative processes maintain the quadratic convergence of Newton's method.
Eva G. Villalba +3 more
wiley +1 more source

