positive constant meaning in English
正常数
Examples
- C is a positive constant , the spring constant
C是正的常数，称为弹性系数。 - While am + sl = q , the upper bound is positive infinity , and 9 can be taken as an arbitrary positive constant
当m + l = 0时，其上界为正无穷大，亦即可取任意正常数。 - Let ( m , f ) be an n - dimensional compact finsler manifold without boudary . if for some positive constant k , then moreover , the diameter of m is when 1 = mk
设m是紧致无边的m维几二le :流形，如果存在常数k ，使得b凡引x )全( 。 - In chapter l , we introduce the relative background on this paper and give some simple expressions of the work which have been studied . in chapter 2 , in virtue of the notion of likelihood ratio the limit properties of the sequences of dependent nonnegative continuous random variables are studied , and a class of strong limit theorems represented by inequalities are obtained . the bounds given by these theorems depend on positive constant c . in chapter 3 , by means of the notion of log likelihood ratio , a kind random strong deviation theorem are obtained , and the bounds given by these theorems depend on r ( )
第一章，介绍本论文的选题背景，对已有的工作进行扼要的介绍；第二章，利用似然比的概念研究相依连续型非负随机变量序列的极限性质，得到一类强偏差定理，其偏差界依赖于正常数c ；第三章，利用对数似然比的概念得到一类随机偏差定理，其偏差界依赖于r ( ) ，证明中引进了尾概率和尾概率的laplace变换的概念；第四章，利用对数似然比的概念，得到了一类关于任意连续型随机变量序列的泛函的强偏差定理。 - One of the important prerequisites for nn to approximate the nonlinear function f ( x ) is the states x of the system should be in a compact set . therefore , the unkown unlinear systems can be expressed by nn and a model error e ( x ) , and there exists a positive constant 6 such that e ( x ) < 8 . so the problem can be incorporated into robust adaptive control
神经网络可以逼近非线性函数f ( x )的一个重要前提是x必须落入某一紧集s中，因此在一紧集u上，未知的非线性系统就可以用神经网络及一建模误差项( x )表示出来，且存在一正的常数，使得( x ) ，从而这一问题可以归结到鲁棒自适应控制中。