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Improved Tikhonov regularization Research and Applied in Inverse Problem

机译:改进了Tikhonov正规化研究并应用于反问题

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The regularization which constructs with the first filter function is precisely the Tikhonov regularization. This article has proven the Tikhonov functional minimization problem is decides suitably, namely satisfies the solution the existence, the solution unique reconciliation to rely on continuously the data stability; and this minimization problem in solves the first class equation equally the normal equation. The numerical simulation experiment's result indicated that distinguishes the inverse with the regular reduction solution parameter to have the numerical precision to be high and the stability is good and convergence rate quick characteristic.
机译:使用第一个过滤功能构造的正则化正是Tikhonov规范。本文已证明Tikhonov功能最小化问题是合适的,即满足解决方案的存在,解决方案独特的和解依靠连续数据稳定;并且这种最小化问题在解决第一类方程中等正常方程。数值模拟实验结果表明,与常规缩减解决方案参数的反向区分为具有高度的数值精度,稳定性良好且收敛速度快速特性。

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