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International Journal of Mathematical Education in Science and Technology, 1995
We start with an historical introduction, and then give an overview of the most important concepts and properties of general iterative methods to solve nonlinear equations. Then we study extensively the Newton‐Raphson method, investigating different sufficient conditions for the Newton‐Raphson method to converge. Finally we look at systems of nonlinear
Johan Verbeke, Ronald Cools
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We start with an historical introduction, and then give an overview of the most important concepts and properties of general iterative methods to solve nonlinear equations. Then we study extensively the Newton‐Raphson method, investigating different sufficient conditions for the Newton‐Raphson method to converge. Finally we look at systems of nonlinear
Johan Verbeke, Ronald Cools
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A generalization of Newton‐Raphson
International Journal of Mathematical Education in Science and Technology, 1984It is shown that the Newton‐Raphson iteration for nonlinear equations can be considered as a member of a general one‐parameter family of second‐order methods. Variation of the parameter can greatly increase the speed of convergence, and a criterion for choosing the optimal parameter is derived.
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A faster modified newton-raphson iteration
Computer Methods in Applied Mechanics and Engineering, 1979Abstract The paper describes an accelerated modified Newton-Raphson iteration in which the iterative deflection change is a scalar times the previous iterative change plus a further scalar times the usual unaccelerated change. These scalars are automatically recalculated at each iteration.
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A note on starting the Newton-Raphson method
Communications of the ACM, 1964Determination of a suitable initial estimate for a root of an equation ƒ( x ) = 0 by means of computing the roots of a sequence of related equations is described.
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Extended Newton-Raphson Method
2016In Chap. 7, we have seen that overdetermined nonlinear systems are common in geodetic and geoinformatic applications, that is there are frequently more measurements than it is necessary to determine unknown variables, consequently the number of the variables n is less then the number of the equations m.
Joseph L. Awange, Béla Paláncz
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An Automatic Newton‐Raphson Scheme
International Journal of Geomechanics, 2002ABSTRACT This article presents an automatic Newton–Raphson method for solving nonlinear finite element equations. It automatically subincrements a series of given coarse load increments so that the local load path error in the displacements is held below a prescribed threshold.
Daichao Sheng +2 more
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Geometric Newton-Raphson Method
2002Given an equation y = f (x), the Newton-Raphson method employs successive approximations to determine the roots of the equation f (x) = 0.
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A stochastic Newton-Raphson method
Journal of Statistical Planning and Inference, 1978Abstract A stochastic approximation procedure of the Robbins-Monro type is considered. The original idea behind the Newton-Raphson method is used as follows. Given n approximations X 1 ,…, X n with observations Y 1 ,…, Y n , a least squares line is fitted to the points ( X m , Y m ),…, ( X n , Y n ) where m n may ...
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An Asynchronous Newton-Raphson Method
1990We consider a parallel variant of the Newton-Raphson method for unconstrained optimization, which uses as many finite differences of gradients as possible to approximate rows and columns of the inverse Hessian matrix. The method is based on the Gauss-Seidel type of updating for quasi-Newton methods originally proposed by Straeter (1973).
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