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On the numerical solution to linear problems using stochastic arithmetic

机译:用随机算法求解线性问题的数值解

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It has been recently shown that computation with stochastic numbers as regard to addition and multiplication by scalars can be reduced to computation in familiar vector spaces. This result allows us to solve certain practical problems with stochastic numbers and to compare algebraically obtained results with practical applications of stochastic numbers, such as the ones provided by the CESTAC method. Such comparisons give additional information related to the stochastic behavior of random roundings in the course of numerical computations. A number of original numerical experiments are presented that agree with the expected theoretical results.
机译:最近显示出,关于标量的加法和乘法的具有随机数的计算可以减少为在熟悉的向量空间中的计算。该结果使我们能够解决随机数的某些实际问题,并将代数获得的结果与随机数的实际应用(例如CESTAC方法提供的结果)进行比较。这样的比较给出了与数值计算过程中随机舍入的随机行为有关的附加信息。提出了许多与预期的理论结果相符的原始数值实验。

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