1、Its optimal solution is obtained by finding a nonnegative solution of compatible equations.
其最優(yōu)解是通過求一個(gè)相容方程組的非負(fù)解而得到。

2、In this paper, we study nonnegative generalized idempotent matrices in detail.
本文給出了一般非負(fù)廣義冪等矩陣的充要條件。

3、Another simple algorithm of problems with nonnegative constraints is presented in this paper.
本文給出了非負(fù)約束問題的另一個(gè)簡(jiǎn)便算法。

4、In this thesis, we discuss some eigenvalue problems of nonnegative tensors.
本文探討非負(fù)張量特征值的若干問題。

5、An algorithm with regularization constrains for nonnegative matrix factorization is proposed.
提出一種帶有正則約束的非負(fù)矩陣分解算法(RCNMF)。

6、Each argument must be an expression that evaluates to a nonnegative integer.
每個(gè)參數(shù)必須是計(jì)算結(jié)果為非負(fù)整數(shù)的表達(dá)式。

7、The coefficient of friction can be set to any nonnegative value.
可以設(shè)置摩擦系數(shù)成任何非負(fù)值。

8、All nonnegative energies are allowed.
所有非負(fù)能量都是允許的。

9、Portfolio Investment with Nonnegative Constraints on Genetic Algorithms
基于遺傳算法的非負(fù)約束組合證券投資決策

10、They are important theoretical foundation of the study about nonnegative matrices spectral radius.
這些都是研究矩陣譜性質(zhì)的重要依據(jù)。

11、Returns a nonnegative random number less than the specified maximum.
返回一個(gè)小于所指定最大值的非負(fù)隨機(jī)數(shù)。