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generating function相关的网络例句

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与 generating function 相关的网络例句 [注:此内容来源于网络,仅供参考]

The program is divided into five blocks: the main function, contracting keys function, numbers and decimal memory function, processing function, the value function, display function,rest function and positive and negative function.

将程序分为五个模块:主函数、判键函数、数字和小数点存储函数、运算处理函数、求值函数、显示函数、正负和清零处理函数。

Special attributes: func doc or doc is the function's documentation string, or None if unavailable; func name or name is the function's name; module is the name of the module the function was dened in, or None if unavailable; func defaults is a tuple containing default argument values for those arguments that have defaults, or None if no arguments have a default value; func code is the code object representing the compiled function body; func globals is the dictionary that holds the function's global variables — it denes the global namespace of the module in which the function was dened; func dict or dict contains the namespace supporting arbitrary function attributes; func closure is None or a tuple of cells that contain bindings for the function's free variables.

func defaults是一个包括有参数中设有默认值的元组;func name 或 name 是函数名。func code是一个编译后的代码对象;func globals是一个引用,指向保存了函数的全局变量的字典—-如果你在函数所在模块中定义了全局变量的话。func dict或 dict 包括了支持任意函数属性的名字空间;func closure 要么是None,要么是包括有函数自由变量捆绑的单元的元组。

In 1991, a young Italian scientist, Walter Fontana , showed mathematically that a linear sequence of function A producing function B producing function C could be very easily circled around and closed in a cybernetic way into a self-generating loop, so that the last function was coproducer of the initial function.

1991年,一个年轻的意大利科学家沃尔特·方塔纳从数学角度阐述了功能A产生功能B,B再产生C这样的线性序列很容易环绕,并以控制论的方式构成自生的闭环,这样最后的功能就参与初始功能的产生。

In 1991, a young Italian scientist, Walter Fontana, showed mathematically that a linear sequence of function A producing function B producing function C could be very easily circled around and closed in a cybernetic way into a self-generating loop, so that the last function was coproducer of the initial function.

1991年,一个年轻的意大利科学家沃尔特丰塔纳从数学角度阐述了功能A产生功能 B ,B再产生C这样的线性序列很容易环绕,并以控制论的方式构成自生的闭环,这样最后的功能就参与初始功能的产生。

In 1991, a young Italian scientist, Walter Fontana , showed mathematically that a linear sequence of function A producing function B producing function C could be very easily circled around and closed in a cybernetic way into a self-generating loop, so that the last function was coproducer of the initial function.

1991年,一个年轻的意大利科学家沃尔特·方塔纳从数学角度阐述了功能A产生功能B,B再产生C这样的线性序列很容易被绕成圈,并以控制论的方式封闭为自生的环,这样最后的功能就成为初始功能的共同生者。

In 1991, a young Italian scientist, Walter Fontana , showed mathematically that a linear sequence of function A producing function B producing function C could be very easily circled around and closed in a cybernetic way into a self-generating loop, so that the last function was coproducer of the initial function.

1991年,年轻的意大利科学家沃尔特·方塔纳从数学角度阐述了功能A产生功能B,B再产生C这样的线性序列很容易被绕成圈,并以控制论的方式封闭为自生的环,这样最后的功能就成为初始功能的共同生者。

Optimal control of DSS formation adjusting based on Hamilton Mechanics and generating function method was investigated. An iterative way of solving the two-point boundary value problem induced by optimal control by relative motion generating function approximation was proposed.

基于考虑J_2项的DSS相对运动Hamilton力学模型和生成函数方法研究了DSS构形调整的最优控制问题,提出了求解最优控制两点边值问题的相对运动生成函数近似迭代方法。

First low order approximation of generating function and approximate optimal trajectory were obtained. Then using low order approximation of generating function of Hamilton "relative motion" to the approximate optimal trajectory, improvement of the approximate optimal trajectory was iteratively made. In this way, high order approximation accuracy can be obtained by only using low order approximation, which is much cost effective in computing.

首先以较低的计算代价,获得最优控制Hamilton系统生成函数的低阶近似,得到一条近似的最优轨线,然后将最优控制Hamilton系统相对于近似最优轨线求"相对运动",该"相对运动"仍具有Hamilton性质,利用这一"相对运动"的生成函数低阶近似,可以对近似最优轨线进行迭代修正,从而以计算代价较小的低阶近似逼近计算代价高得多的高阶近似的精度。

The major contribution of this thesis is introduce and develop Moment Generating Function Approach to performance analysis of Arbitrary Stochastic Petri Nets In which firing delays of transitions can be either deterministic or arbitrarily distributed random variable with a moment generating function.

在ASPN中,变迁的激活时延即可以是确知的或具有矩母函数的任意分布的随机变量。

At the beginning of this thesis, the author gives the definition and the equivalent definition of convex function, and then proves the equivalent relationship between them. Secondly the author proposes the decision theorem of convex function which provides a judgment basis of whether a function is a convex function. Thirdly the author summarizes and proves the convex function's operational, basic, differential and integral property. Finally the author proves several famous convex function inequalities, such as Jensen inequality, Holder inequality, Cauchy inequality. The author also provides the application of these inequalities and illustrates the importance of convex function's basic inequality and integral property in the proving process.

本文开始给出了凸函数的定义及等价定义,并证明了它们之间的等价关系;接着提出了凸函数的判定定理,对一个函数是否是凸函数提供判断依据;然后对凸函数的运算性质、基本性质、微分性质、积分性质四个方面的性质进行了总结,并给予了证明;最后证明了凸函数的几个著名不等式詹森不等式、赫尔德不等式、柯西不等式,给出了这几个不等式的一些应用实例,并举例说明凸函数的基本性质和积分性质在不等式证明过程中的重要作用。

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