On the basis of them, three optimization algorithms for minimum condition evaluation are introduced.
在此基础上介绍了最小条件评定的三种最优化算法。
The mathematical models of axis straightness errors by Least Square evaluation and minimum condition are discussed in this paper.
本文阐述了轴线直线度误差最小二乘评定法与最小条件评定法的数学模型。
The minimum zone method meets the minimum condition for evaluating the straightness, however it is difficult to accomplish computerization.
最小区域法是符合最小条件的一种直线度误差评定方法，但较难实现。
The minimum condition attribute set which keeps the dependency degree changeless is just the minimum reducing set of condition attribute set.
保持依赖度不变的最小条件属性集为条件属性的最小约简集。
Based on this, the formulas for calculating, according to the minimum condition, the measuring error limits of straightness have been derived.
在这基础上，推导出了按最小条件评定直线度的极限测量误差的计算式。
Computing straightness error on the basis of least square method by way of smallest field method is new method in exploring the minimum condition.
用最小区域法求直线度误差，是在最小二乘法的基础上探讨的一种符合最小条件的新方法。
The mathematical models of coaxality error by evaluation of the orthogonal least square method and the minimum condition method are presented in this paper.
本文给出了同轴度误差正交最小二乘评定与最小条件评定法的数学模型。
A few of methods of evaluating straightness error are researched. Minimum zone method tally with minimum condition, so it is ruling basis of evaluating straightness error.
研究了几种直线度误差评定方法，其中最小区域法符合最小条件，应作为直线度误差评定结果的仲裁依据。
The 0.618 method and the convex polygon method for minimum condition evaluation of straightness error are introduced, and their high-level language programs are given in this paper.
本文介绍了直线度误差最小评定的0.618法和凸多边形法，并给出了这两种方法的高级语言程序。
The optimal(or minimum)condition is discussed with the help of LSPP theory, and a geometrical explanation is given.
文中还应用这一方法讨论了最小条件（判别准则），并给出了几何解释。
The optimal(or minimum)condition is discussed with the help of LSPP theory, and a geometrical explanation is given.
文中还应用这一方法讨论了最小条件（判别准则），并给出了几何解释。
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