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Optimization on class of operator equations in the probabilistic case setting

机译:概率案例设置中算子方程类的优化

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摘要

In this paper, we introduce a problem of the optimization of approximate solutions of operator equations in the probabilistic case setting, and prove a general result which connects the relation between the optimal approximation order of operator equations with the asymptotic order of the probabilistic width. Moreover, using this result, we determine the exact orders on the optimal approximate solutions of multivariate Freldholm integral equations of the second kind with the kernels belonging to the multivariate Sobolev class with the mixed derivative in the probabilistic case setting.
机译:本文介绍了概率情况下算子方程近似解的优化问题,并证明了将算子方程的最佳近似阶与概率宽度的渐近阶之间的关系联系起来的一般结果。此外,利用该结果,我们在概率情况下,确定了第二类多元Freldholm积分方程的最优近似解的精确阶,该类方程的核属于多元Sobolev类,具有混合导数。

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