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A study on theory of second-order adjoint model

机译:二阶伴随模型理论研究

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摘要

The Hessian matrix, which is formed by the second-order partial derivatives of the cost function with respect to control variables, plays an important role in the procedure of variational data as- similation (VDA), sensitivity analysis, etc. , and it can be obtained by establishing the first-order ad- joint (FOA) and the second-order adjoint (SOA)models for direct model. The derivations of the FOA and SOA models of shallow water equations model are given in detail, which is based upon the Gateaux differential of functional and the concepts of the adjoint operators in Hilbert space. The result for SOA model of the shallow water equations model is obtained, which improves the theory established in the pa- per of Wang et al. (1992)
机译:由成本函数相对于控制变量的二阶偏导数形成的Hessian矩阵在变量数据同化(VDA),灵敏度分析等过程中起着重要作用,并且可以通过建立直接模型的一阶伴随(FOA)和二阶伴随(SOA)模型来获得。详细介绍了浅水方程模型的FOA和SOA模型的推导,该模型是基于希尔特伯特空间中函数的Gateaux微分和伴随算子的概念而得出的。获得了浅水方程模型的SOA模型结果,这改进了Wang等人论文中建立的理论。 (1992)

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