1) minimal norm g-inverse
最小范数广义逆
2) minimum norm generalized inverses
极小范数广义逆
1.
In this paper, we present two more general recursive relations for computing the minimum norm generalized inverses and the inverses of the Cline partitioned matrix by utilizing the minimum-norm least square method, which generalizes the existed results.
本文利用范数极小化方法给出了计算Cline分块矩阵的极小范数广义逆及逆的两个一般递推表示式,推广了已有的结果。
3) least square generalized inverse
最小二乘广义逆
1.
Based on the relation between synergetic learning algorithms and generalized inverses,all the algorithms for computing least square generalized inverses can be considered as synergetic learning algorithms,which enriches the variety of synergetic learning algorithms considerably.
在讨论协同学习算法和广义逆关系的基础上，指出了最小二乘广义逆的求解算法都可以看作是协同学习算法，从而大大丰富了协同学习算法的种类。
4) Weighted least norm inverse
加权最小范数逆
5) generalization of normalized least mean p-norm
广义归一化最小平均p范数
6) generalized minimal residual
广义最小余数法
补充资料：逆数
1.犹预测。 2.犹言倒数。谓由后向前﹑由下至上推算。
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