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首页> 外文期刊>Journal of inverse and ill-posed problems >Solving constraint ill-posed problems using Ginzburg–Landau regularization functionals
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Solving constraint ill-posed problems using Ginzburg–Landau regularization functionals

机译:使用Ginzburg-Landau正则化函数解决约束不适定问题

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We consider constrained ill-posed operator equations. The constraints are such that in one case we restrict the domain to functions which are piecewise constant. In another case we allow only functions that attain values in a certain interval. We use Ginzburg–Landau regularization methods for solving these equations. In our numerical examples we consider the inverse conductivity problem which has applications in electrical impedance tomography. We present a numerical implementation along with some results and compare them with modified H1-Tikhonov regularization methods.
机译:我们考虑约束不适定算子方程。这样的约束使得在一种情况下,我们将域限制为分段恒定的函数。在另一种情况下,我们仅允许在一定间隔内获得值的函数。我们使用Ginzburg–Landau正则化方法来求解这些方程。在我们的数值示例中,我们考虑了反电导率问题,该问题已在电阻抗层析成像中应用。我们提供了一些数值实现以及一些结果,并将它们与改进的H1-Tikhonov正则化方法进行了比较。

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