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arXiv 1906.09121math.OCeess.SP
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线性方程欠定组的最小方差解

Minimum Variance Solution of Underdetermined Systems of Linear Equations

Lorenzo Piazzo, Davide Elia, Sergio Molinari

摘要:

当未知数比方程多时,称线性方程组是欠定的。这样的系统可能有无穷多个解。在这种情况下,重要的是要挑选出具有特殊功能的解决方案。一个众所周知的例子是最小范数(MN)解,它是具有最小欧几里得范数的解。在本文中,我们考虑另一个有用的解决方案,与MN的,我们称之为最小方差(MV)解决方案。我们讨论了它的一些性质,并推导出一个简单的,封闭的形式表达。

英文摘要:

A system of linear equations is said underdetermined when there are more unknowns than equations. Such systems may have infinitely many solutions. In this case, it is important to single out solutions possessing special features. A well known example is the Minimum Norm (MN) solution, which is the solution having the least Euclidean norm. In this note, we consider another useful solution, related with the MN one, which we call the Minimum Variance (MV) solution. We discuss some of its properties and derive a simple, closed form expression.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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