This article focuses on the topics that by connecting the the least-squares Minimization with the functional abstract space, the abstract definition of the best approximation problem is abtained.
把计算方法中的最小二乘法与泛函的抽象空间联系起来，得到最佳逼近问题的抽象提法，并在赋范线性空间探讨最小二乘法。
The problem is that the statistics aren't an objective measure of reality; they are simply a best approximation.
问题在于统计数据并不是对现实的客观衡量；它们只是一个最佳估测值。
In this paper, we consider the best approximation of a matrix under a given linear restriction with some fixed elements. This result can be apply to solving a class matrix inverse eigenvalue problem.
本文研究具有某些固定元素的矩阵在线性约束下的最佳逼近，其结果可以用于解一类矩阵反特征值问题。
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