Compression of Multivariate Discrete Measures and Applications
Compression of Multivariate Discrete Measures and Applications
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DOI：
10.1080/01630563.2015.1062394
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发表时间：
2015-08
影响因子：
1.2
通讯作者：
A. Sommariva;M. Vianello
中科院分区：
文献类型：
--
作者：
A. Sommariva;M. Vianello
本文讨论了两种多变量离散测度的压缩方法，并将其应用于数值模拟中的节点约简和最小二乘逼近。这些方法是在二维的Matlab计算环境中实现的。
In this article, we discuss two methods for the compression of multivariate discrete measures, with applications to node reduction in numerical cubature and least-squares approximation. The methods are implemented in the Matlab computing environment, in dimension two.