这类方法具有基数型、显式计算（无须求解方程组）及局部性等优点。
This kind of schemes has advantages such as cardinal type, explicit calculation(no need to solve system of equations) and localization.
求解方程组可得到结构特征值的均值和均方差的统计特征的数值表达式。
By solving these equations, statistical expressions of expectation and mean square covariance about eigenvalues will be gotten.
提出了对约束方程组进行分解的算法和在规则求解的基础上分两层求解方程组的方法。
It gives the algorithm to decompose the constraint equations and the way to solve the equations in two levels based on the rules solving.
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