1) the least eigenvalue of graph
图的最小特征根
1.
This paper presents a brief survey of the results of the least eigenvalue of graphs anddiscusses the limitpoints of least eigenvalue of graphs in (- 2, 0) Results show that: Thefirst,the second,the third largest eimitpoints of least ligenvalue of graphs are,respectively.
本文在简要地总结图的最小特征根的研究成果基础上，证明了图的最小特征粮的第一、第二、第三极限点，并给出了相应收敛的图序列。
2) smallest real eigenvalue
最小特征根
3) minimal feature
最小特征
1.
Facet shift algorithm was realized based on minimal feature in this paper and experiment was done to test it.
面平移算法是当前平行结构建筑化简所采用的主要方式,此处采用最小特征作为面平移的基础实现了平行结构建筑化简的面平移算法,通过实验对该算法进行了验证,并从化简过程、化简结果和不确定性3个方面将此算法与基于最短距离的面平移算法进行了详细的对比和分析。
4) minimum eigenvalue
最小特征值
1.
In order to get the best solution,using the right eigenvector of the matrix minimum eigenvalue and the sensitivity of system power loss to choose the best nodes to compensate,immune algorithm is used to calculate the optimum compensation capacity.
应用雅可比矩阵最小特征值的右特征向量强相关和系统网损灵敏度的方法对系统的节点排序,选择无功补偿的最佳节点。
2.
The minimum eigenvalue, number of conditions, reciprocal.
0 0 2 m· s- 2范围内 ,并不影响惯导系统的可观性 ,系统的最小特征值、条件数、迹的倒数与重力加速度成线性比例 ,系统摄动的最大特征值与重力加速度成二次函数关系 。
3.
In the same way,this paper found a new type lower bound of r(A(?)B)which was the minimum eigenvalue of the Fan product of two M-matrices A and B.
类似地,利用Cauchy-Schwitz不等式给出两个n阶M-方阵A和B的Fan积A(?)B的最小特征值r(A(?)B)的一组下界。
5) smallest eigenvalue
最小特征值
1.
This paper mainlyf discusses the relationship of the change of the smallest eigenvalue λ1 and the coefficients g(x),h(x),k(x)of the linear ordinary differential equation(L+h+k)[u]≡u″+g(x)u′+[h(x)+λk(x)]u=0,a<x<b,under the special boundary value condition u(a)=u(b)=0,where g(x),h(x) and k(x) are all bounded and k(x) has a positive lower bound.
本文主要考虑二阶线常微分方程(L+h+k)≡[u]″+g(x)u′+[h(x)+kλ(x)]u=0,a
6) the minimal eigenvalue
最小特征值
1.
In this paper, A new algorithm of the minimal eigenvalue for an irreducible M-matrix was proposed, following from the relation between the M-matrix and the nonnegative matrix.
我们利用M-矩阵与非负矩阵的关系,给出了求不可约M-矩阵最小特征值的新算法, 该算法具有计算量小,易在计算机上实现的特点,且可以达到实际需要的精度,并给出了收敛性证明。
2.
Based on the relationship between the Z-matrix and the nonnegative matrix,proposed in this paper is a numerical algorithm for the minimal eigenvalue and its eigenvector of an irreducible Z-matrix.
基于Z-矩阵与非负矩阵的关系,给出了不可约Z-矩阵最小特征值及特征向量的同步数值算法,数值实验表明算法是可行有效的。
补充资料：最小辐亮度与最小辐照度(见核爆炸火球)
最小辐亮度与最小辐照度(见核爆炸火球)
minimum-brightness and minimum-irradiance
zuixiao fuliangdu yu zuixiaofu乙haodu最小辐亮度与最小辐照度(minimum-brightness and而nimum一irradianee)见核爆炸火球。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条