Editorial: track reliable computations and their applications

M. Ceberio, V. Kreinovich, M. Rueher
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Abstract

Many numerical computations, be they solutions to systems of differential equations or optimization problems coming from applied areas like protein folding, do not provide us with guaranteed computation results. In many situations, we have numerical solutions, we may even have a theorem guaranteeing that, eventually, this numerical solution tends to the actual precise one, but the algorithm itself does not provide us with guaranteed bounds on the difference between the numerical approximate solution and the desired actual one. Therefore, in some practical situations, numerical solutions are much farther from the actual (unknown) precise solutions than the users assume.
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编辑:跟踪可靠的计算及其应用
许多数值计算,无论是微分方程组的解还是来自蛋白质折叠等应用领域的优化问题,都不能为我们提供保证的计算结果。在很多情况下,我们有数值解,我们甚至可能有一个定理保证,最终,这个数值解趋向于实际的精确解,但是算法本身并没有为我们提供数值近似解和期望的实际解之间差的保证界。因此,在一些实际情况下,数值解与实际(未知)精确解的距离比用户假设的要远得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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