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The Method of Fundamental Solutions for Solving the Backward Heat Conduction Problem with Conditioning by a New Post-Conditioner

机译:一种新的后置调节器通过调节解决向后导热问题的基本方法

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We consider a backward heat conduction problem (BHCP) in a slab, subject to noisy data at final time. The BHCP is known to be highly ill-posed. In order to stably solve the BHCP by a numerical method, we employ a new post-conditioner in the linear system obtained by the method of fundamental solutions (MFS), and then we use the conjugate gradient method (CGM) to solve the post-conditioned linear system to determine the unknown coefficients used in the expansion by the MFS. The method can retrieve the initial data rather well, with a certain degree of accuracy. Several numerical examples of the BHCP demonstrate that the present method is applicable, even for those of strongly ill-posed problems with a large value of final time and with large noise. We also demonstrate that the CGM alone is not enough to accurately recover the initial temperature.View full textDownload full textRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/10407790.2011.588134
机译:我们考虑板坯中的向后导热问题(BHCP),但最终时间会受到噪声数据的影响。众所周知,BHCP病情严重。为了通过数值方法稳定地求解BHCP,我们在通过基本解(MFS)方法获得的线性系统中采用了新的后置条件,然后使用共轭梯度法(CGM)来求解后置条件。条件线性系统,以确定MFS展开中使用的未知系数。该方法可以一定程度的精度很好地检索初始数据。 BHCP的几个数值示例证明了本方法是适用的,即使对于那些最终时间值较大且噪声较大的严重不适定问题也是如此。我们还证明了仅靠CGM仍不足以准确地恢复初始温度。查看全文下载全文相关的变量addthis_config = {ui_cobrand:“泰勒和弗朗西斯在线”,servicescompact:“ citeulike,netvibes,twitter,technorati,delicious,linkedin, facebook,stumbleupon,digg,google,more“,发布号:” ra-4dff56cd6bb1830b“};添加到候选列表链接永久链接http://dx.doi.org/10.1080/10407790.2011.588134

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