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Goal-oriented mesh adaptation method for nonlinear problems including algebraic errors

机译:面向目标的网格适应方法,包括代数错误,包括代数误差

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We deal with the goal-oriented error estimates and mesh adaptation for nonlinear partial differential equations. The setting of the adjoint problem and the resulting estimates are not based on a differentiation of the primal problem but on a suitable linearization which guarantees the adjoint consistency of the numerical scheme. Furthermore, we develop an efficient adaptive algorithm which balances the errors arising from the discretization and the use of nonlinear as well as linear iterative solvers. Several numerical examples demonstrate the efficiency of this algorithm.
机译:我们处理非线性偏微分方程的面向目标的错误估计和网格自适应。 伴随问题的设置和产生的估计不是基于原始问题的差异,而是保证数值方案的伴随一致性的合适的线性化。 此外,我们开发了一种高效的自适应算法,其平衡了从离散化和使用非线性以及线性迭代求解器产生的误差。 若干数值示例展示了该算法的效率。

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