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Can We Improve the Standard Algorithm of Interval Computation by Taking Almost Monotonicity into Account?

机译:我们是否可以通过考虑几乎单调性来改善间隔计算的标准算法?

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In many practical situations, it is necessary to perform interval computations - i.e., to find the range of a given function y = f(xi,...,x_n) on given intervals - e.g., when we want to find guaranteed bounds of a quantity that is computed based on measurements, and for these measurements, we only have upper bounds of the measurement error. The standard algorithm for interval computations first checks for monotonicity. However, when the function f is almost monotonic, this algorithm does not utilize this fact. In this paper, we show that such closeness-to-monotonicity can be efficiently utilized.
机译:在许多实际情况下,需要执行间隔计算 - 即,在给定间隔上找到给定函数y = f(xi,...,x_n)的范围 - 例如,当我们想要找到保证的界限时基于测量计算的数量,以及用于这些测量,我们只有测量误差的上限。间隔计算的标准算法首先检查单调性。但是,当函数f几乎单调时,该算法不利用此事实。在本文中,我们表明可以有效地利用这种密闭对单调性。

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