The problem of computing a few of the largest (or smallest) eigenvalues of a large sparse symmetric matrix is investigated.
研究了计算大型稀疏对称矩阵的若干个最大或最小特征值的问题。
In the paper, the problem of computing discrepancy in the LH design is studied, a lower-bound of discrepancy is obtained, and the global optimum LH design is studied.
本文对LH设计编差的计算进行了研究,并得到了LH设计偏差的下界,对寻求整体最优LH设计进行了讨论。
Compared to previous methods, this algorithm does not involve the problem of computing projection matrix of camera with all the points and its computing speed is faster.
与已有的加权迭代特征算法比较,该算法避免了所有点参与计算相机的投影矩阵,运算速度更快。
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