• Title/Summary/Keyword: iterative equation

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Development of MLS Difference Method for Material Nonlinear Problem (MLS차분법을 이용한 재료비선형 문제 해석)

  • Yoon, Young-Cheol
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.29 no.3
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    • pp.237-244
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    • 2016
  • This paper presents a nonlinear Moving Least Squares(MLS) difference method for material nonlinearity problem. The MLS difference method, which employs strong formulation involving the fast derivative approximation, discretizes governing partial differential equation based on a node model. However, the conventional MLS difference method cannot explicitly handle constitutive equation since it solves solid mechanics problems by using the Navier's equation that unifies unknowns into one variable, displacement. In this study, a double derivative approximation is devised to treat the constitutive equation of inelastic material in the framework of strong formulation; in fact, it manipulates the first order derivative approximation two times. The equilibrium equation described by the divergence of stress tensor is directly discretized and is linearized by the Newton method; as a result, an iterative procedure is developed to find convergent solution. Stresses and internal variables are calculated and updated by the return mapping algorithm. Effectiveness and stability of the iterative procedure is improved by using algorithmic tangent modulus. The consistency of the double derivative approximation was shown by the reproducing property test. Also, accuracy and stability of the procedure were verified by analyzing inelastic beam under incremental tensile loading.

A FINITE DIFFERENCE APPROXIMATION OF A SINGULAR BOUNDARY VALUE PROBLEM

  • Lee, H.Y.;Ohm, M.R.;Shin, J.Y.
    • Bulletin of the Korean Mathematical Society
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    • v.35 no.3
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    • pp.473-484
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    • 1998
  • We consider a finite difference approximation to a singular boundary value problem arising in the study of a nonlinear circular membrane under normal pressure. It is proved that the rate of convergence is $O(h^2)$. To obtain the solution of the finite difference equation, an iterative scheme converging monotonically to the solution of the finite difference equation is introduced. And the numerical experiment of this method is given.

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Assembling and Analyzing Method of Non-symmetric Sparse Matrix Equation in FEM (유한요소법(有限要素法)에 있어서의 비대칭(非對稱) 소행렬방정식(疎行列方程式)의 조합(組合)과 해법(解法))

  • Shin, Heung-Kyo;Kim, Sang-Gil
    • Proceedings of the KIEE Conference
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    • 2001.07b
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    • pp.862-864
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    • 2001
  • In this paper, we developed the algorithm for assembling and iterative numerical analyzing of non-symmetric sparse matrix equation in finite element method. Developed program in this study is applicable and very useful to analyze the electromagnetic characteristics of the electric machinery considered with the movement of the secondary.

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Dynamic analysis of structures using linearized alogrithm for material nonlinearity (선형화 알고리듬을 이용한 재료적 비선형 구조물의 동적해석)

  • 심재수;임선묵
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1993.04a
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    • pp.53-60
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    • 1993
  • Nonlinear equation of motion due to material nonlinearity of structure is transformed to linear equation of motion by treating the nonlinear elastic force term as an applied force. The solution in a time step is carried out by iterative linear dynamic analysis. The present simple algorithm is varidated by several examples .The results show that this algorithm is and efficient.

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ON THE STABILITY OF FUNCTIONAL EQUATIONS IN n-VARIABLES AND ITS APPLICATIONS

  • KIM, GWANG-HUI
    • Communications of the Korean Mathematical Society
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    • v.20 no.2
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    • pp.321-338
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    • 2005
  • In this paper we investigate a generalization of the Hyers-Ulam-Rassias stability for a functional equation of the form $f(\varphi(X))\;=\;\phi(X)f(X)$, where X lie in n-variables. As a consequence, we obtain a stability result in the sense of Hyers, Ulam, Rassias, and Gavruta for many other equations such as the gamma, beta, Schroder, iterative, and G-function type's equations.

A NOTE ON THE PAPER TITLED SOME VARIANTS OF OSTROWSKI'S METHOD WITH SEVENTH-ORDER CONVERGENCE

  • Geum, Young Hee
    • Journal of the Chungcheong Mathematical Society
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    • v.24 no.2
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    • pp.141-146
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    • 2011
  • Kou et al. presented a class of new variants of Ostrowski's method in their paper (J. of Comput. Appl. Math., 209(2007), pp.153-159) whose title is "Some variants of Ostrowski's method with seventh-order convergence". They proposed an incorrect error equation, although they showed a correct seventh-order of convergence. The main objective of this note is to establish the correct error equation of the method and confirm its validity via concrete numerical examples.

PRECONDITIONED ITERATIVE METHOD FOR PETROV-GALERKIN PROCEDURE

  • Chung, Seiyoung;Oh, Seyoung
    • Journal of the Chungcheong Mathematical Society
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    • v.10 no.1
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    • pp.57-70
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    • 1997
  • In this paper two preconditioned GMRES and QMR methods are applied to the non-Hermitian system from the Petrov-Galerkin procedure for the Poisson equation and compared to each other. To our purpose the ILUT and the SSOR preconditioners are used.

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A QUADRAPARAMETRIC FAMILY OF EIGHTH-ORDER ROOT-FINDING METHODS

  • Kim, Young Ik
    • Journal of the Chungcheong Mathematical Society
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    • v.27 no.1
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    • pp.133-143
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    • 2014
  • A new three-step quadraparametric family of eighth-order iterative methods free from second derivatives are proposed in this paper to find a simple root of a nonlinear equation. Convergence analysis as well as numerical experiments confirms the eighth-order convergence and asymptotic error constants.