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Parameter estimation in convection dominated nonlinear convection-diffusion problems by the relaxation method and the adjoint equation

机译:对流占优的非线性对流扩散问题的参数松弛法和伴随方程

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摘要

The development of numerical methods for strongly nonlinear convection-diffusion problems with dominant convection is an ongoing topic in numerical analysis. For inverse problems in this setting, there is a need of fast and accurate solvers. Here, we present operator splitting with a Riemann solver for the convective part and a relaxation method for the diffusive part, as a means to achieve this goal. Combined with the adjoint equation method this allows us to solve inverse problems within reasonable time frames and with modest computing power. As an example, the dual-well experiment is considered and the adjoint method is compared with a conjugate gradient algorithm and a Levenberg-Marquardt type of iteration method. (C) 2007 Elsevier B.V. All rights reserved.
机译:具有强对流的强非线性对流扩散问题的数值方法的发展是数值分析中的一个持续的主题。对于这种情况下的逆问题,需要快速而准确的求解器。在这里,我们提出用对流部分的Riemann求解器和扩散部分的松弛方法进行算子分解,以实现该目标。结合伴随方程方法,这使我们能够在合理的时间范围内以适度的计算能力解决逆问题。例如,考虑了双井实验,并将伴随方法与共轭梯度算法和Levenberg-Marquardt类型的迭代方法进行了比较。 (C)2007 Elsevier B.V.保留所有权利。

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