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Fast interval matrix multiplication

机译:快速间隔矩阵乘法

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Several methods for the multiplication of point and/or interval matrices with interval result are discussed. Some are based on new priori estimates of the error of floating-point matrix products. The amount of overestimation including all rounding errors is analyzed. In particular, algorithms for conversion of infimum-supremum to midpoint-radius representation are discussed and analyzed, one of which is proved to be optimal. All methods are much faster than the classical method because almost no switch of the rounding mode is necessary, and because our methods are based on highly optimized BLAS3 routines. We discuss several possibilities to trade overestimation against computational effort. Numerical examples focussing in particular on applications using interval matrix multiplications are presented.
机译:讨论了将点和/或间隔矩阵与间隔结果相乘的几种方法。有些是基于浮点矩阵乘积误差的新的先验估计。分析包括所有舍入误差在内的高估量。特别是,讨论并分析了将极小值转换为中点半径表示的算法,其中一种被证明是最佳的。所有方法都比经典方法快得多,因为几乎不需要切换舍入模式,并且因为我们的方法基于高度优化的BLAS3例程。我们讨论了针对计算工作进行高估交易的几种可能性。给出了一些数值示例,这些示例特别侧重于使用间隔矩阵乘法的应用程序。

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