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An accurate regularization technique for the backward heat conduction problem with time-dependent thermal diffusivity factor

机译:一种精确的后向热传导正则化技术   时间依赖的热扩散系数的问题

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摘要

In this work, an accurate regularization technique based on the Meyer waveletmethod is developed to solve the ill-posed backward heat conduction problemwith time-dependent thermal diffusivity factor in an infinite "strip". Inprinciple, the extremely ill-posedness of the considered problem is caused bythe amplified infinitely growth in the frequency components which lead to ablow-up in the representation of the solution. Using the Meyer wavelettechnique, some new stable estimates are proposed in the H\"older andLogarithmic types which are optimal in the sense of given by Tautenhahn. Thestability and convergence rate of the proposed regularization technique areproved. The good performance and the high-accuracy of this technique isdemonstrated through various one and two dimensional examples. Numericalsimulations and some comparative results are presented.
机译:在这项工作中,开发了一种基于Meyer小波方法的精确正则化技术,以解决在无限“条带”中具有随时间变化的热扩散因子的不适定的向后导热问题。原则上,所考虑的问题的极端不适性是由频率分量的无限增大所引起的,这导致解的表述增加。利用迈耶小波技术,提出了一些新的稳定估计值,它们在Tautenhahn给出的意义上是最优的,H。“ older和对数类型。证明了所提出的正则化技术的稳定性和收敛速度,其良好的性能和高精度通过各种一维和二维实例对该技术进行了演示,并给出了数值模拟和一些比较结果。

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