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Estimation of the Derivatives of a Digital Function with a Convergent Bounded Error

机译:具有收敛有界误差的数字函数的导数估计

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We provide a new method to estimate the derivatives of a digital function by linear programming or other geometrical algorithms. Knowing the digitization of a real continuous function / with a resolution h, this approach provides an approximation of the kth derivative f^kx) with a maximal error in O(/iT+T) where the constant depends on an upper bound of the absolute value of the (k + l)th derivative of / in a neighborhood of a;. This convergence rate ^y should be compared to the two other methods already providing such uniform convergence results, namely | from Lachaud et. at (only for the first order derivative) and (|)fc from Malgouyres et al.
机译:我们提供了一种通过线性编程或其他几何算法来估计数字函数的导数的新方法。知道实数连续函数的数字化/分辨率为h时,此方法可提供第k个导数f ^ kx)的近似值,其中O(/ iT + T)的最大误差为常数,该常数取决于绝对值的上限/在a的附近的(k + 1)导数的值。该收敛率^ y应该与已经提供了这种均匀收敛结果的其他两种方法进行比较,即|。来自Lachaud等。 (仅针对一阶导数)和Malgouyres等人的(|)fc。

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