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Fast algorithms for floating-point interval matrix multiplication

机译:浮点间隔矩阵乘法的快速算法

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摘要

We discuss several methods for real interval matrix multiplication. First, earlier studies of fast algorithms for interval matrix multiplication are introduced: naive interval arithmetic, interval arithmetic by midpointradius form by OishiRump and its fast variant by OgitaOishi. Next, three new and fast algorithms are developed. The proposed algorithms require one, two or three matrix products, respectively. The point is that our algorithms quickly predict which terms become dominant radii in interval computations. We propose a hybrid method to predict which algorithm is suitable for optimizing performance and width of the result. Numerical examples are presented to show the efficiency of the proposed algorithms.
机译:我们讨论了实数间隔矩阵乘法的几种方法。首先,介绍了对间隔矩阵乘法快速算法的较早研究:朴素的间隔算法,OishiRump的中点半径形式的间隔算法以及OgitaOishi的快速变体。接下来,开发了三种新的快速算法。所提出的算法分别需要一个,两个或三个矩阵乘积。关键是我们的算法可以快速预测哪些项将成为区间计算中的主导半径。我们提出一种混合方法来预测哪种算法适合优化结果的性能和宽度。数值算例表明了所提算法的有效性。

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