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首页> 外文期刊>Constructive approximation: An international journal for approximations and expansions >Optimal Order of Convergence and (In)Tractability of Multivariate Approximation of Smooth Functions
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Optimal Order of Convergence and (In)Tractability of Multivariate Approximation of Smooth Functions

机译:光滑函数的多元逼近的最佳收敛阶和(输入)可牵引性

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摘要

We study the approximation problem for C∞ functions f : [0, 1]d →R with respect to a Wm p -norm. Here, m = [m,m,. . . ,m], d times, with the norm of the target space defined in terms of up to m partial derivatives with respect to all d variables. The optimal order of convergence is infinite, hence excellent, but the problem is still intractable and suffers from the curse of dimensionality if m ≥ 1. This means that the order of convergence supplies incomplete information concerning the computational difficulty of a problem. For m = 0 and p = 2, we prove that the problem is not polynomially tractable, but that it is weakly tractable.
机译:我们研究关于Wm p-范数的C∞函数f:[0,1] d→R的逼近问题。在这里,m = [m,m ,。 。 。 ,m],d次,相对于所有d个变量最多以m个偏导数定义目标空间的范数。最优收敛阶数是无限的,因此非常好,但是如果m≥1,则该问题仍然棘手,并且会遭受维度的诅咒。这意味着收敛阶数会提供有关问题计算难度的不完整信息。对于m = 0和p = 2,我们证明问题不是多项式可解决的,而是弱可解决的。

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