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A novel mixed group preserving scheme for the inverse Cauchy problem of elliptic equations in annular domains

机译:环域上椭圆型方程反Cauchy问题的一种新的混合群保持格式。

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In this paper, the inverse Cauchy problems for elliptic equations, including the Laplace equation, the Poisson equation, and the Helmholtz equation, defined in annular domains are investigated. When the outer boundary of an annulus is imposed by overspecified boundary data, we seek unknown data in the inner boundary through a combination of the spring-damping regularization method (SDRM) and the mixed group-preserving scheme (MGPS). Several numerical examples are examined to show that the MGPS plus the SDRM can overcome the ill-posed behavior of this highly ill-conditioned inverse Cauchy problem. The presently proposed novel algorithm has good efficiency and stability against the disturbance from large random noise even up to 50%, and the computational cost of MGPS is very time saving.
机译:在本文中,研究了在环形域中定义的椭圆方程(包括拉普拉斯方程,泊松方程和亥姆霍兹方程)的柯西逆问题。当环的外边界是由过度指定的边界数据所强加时,我们将通过弹簧阻尼正则化方法(SDRM)和混合群保留方案(MGPS)的组合在内部边界中寻找未知数据。检查了几个数值示例,以表明MGPS和SDRM可以克服此病情严重的柯西逆问题的不适定行为。目前提出的新算法具有很高的效率和稳定性,甚至可以抵抗高达50%的大随机噪声干扰,并且MGPS的计算成本非常节省。

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