7 research outputs found

    B-Spline collocation method for numerical solution of nonlinear kawahara and modified kawahara equations

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    In this paper, a collocation method is applied for solving the Kawahara and modified Kawahara equations. For the spatial discretization, we use the sextic B-spline collocation (SBSC) method on uniform meshes, finite difference scheme is employed for the time discretization. The stability analysis of the collocation methods are examined by the Von Neumann approach. Numerical results demonstrate the efficiency and accuracy of the proposed methods.Publisher's Versio

    Error estimate and adaptive refinement in mixed discrete least squares meshless method

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    The node moving and multistage node enrichment adaptive refinement procedures are extended in mixed discrete least squares meshless (MDLSM) method for efficient analysis of elasticity problems. In the formulation of MDLSM method, mixed formulation is accepted to avoid second-order differentiation of shape functions and to obtain displacements and stresses simultaneously. In the refinement procedures, a robust error estimator based on the value of the least square residuals functional of the governing differential equations and its boundaries at nodal points is used which is inherently available from the MDLSM formulation and can efficiently identify the zones with higher numerical errors. The results are compared with the refinement procedures in the irreducible formulation of discrete least squares meshless (DLSM) method and show the accuracy and efficiency of the proposed procedures. Also, the comparison of the error norms and convergence rate show the fidelity of the proposed adaptive refinement procedures in the MDLSM method

    Deviation of the Error Estimation for Second Order Fredholm-Volterra Integro Differential Equations

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    In this paper we study the deviation of the error estimation for the second order Fredholm-Volterra integro-differential equations. We prove that for m degree piecewise polynomial collocation method, our method provides O(hm+1) as the order of the deviation of the error. Also numerical results in the final section are included to confirm the theoretical results

    Application of goal-oriented error estimation and adaptive mesh refinement on thermo-mechanical multifield problems

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    Application of goal-oriented error estimation and adaptive mesh re_nement on thermo-mechanical multi_eld problem

    A stochastic computational method based on goal-oriented error estimation for heterogeneous geological materials

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    A stochastic computational method based on goal-oriented error estimation for heterogeneous geological material
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