而遗传算法不需要待优化函数具有连续可微性，并具有很强的通用性和隐含并行性。
While the GA does not require that the optimized functions possess continuum differentiability, GA is proposed to optimize the parameters of fuzzy controller.
本文引进了连续可微和均匀连续可微两个新的可微性概念。
Two new notions of continuous differentiability and uniformly continuous differentiability are introduced in this paper.
最终讲明白连续性和可微性之间的区别的例子是由他给出的。
The example that ultimately drove home the distinction between continuity and differentiability was given by him.
探讨二元函数的连续性、偏导数、方向导数以及可微性之间的关系，有助于我们对二元函数的学习。
A discussion of the relations between continuity, partial derivative, directional derivative and differentiability of binary function is helpful for us to study binary function.
证明了该过程的局部时的存在性、联合连续性和可微性。
The existence, joint continuity and differential of local times of this process are shown.
作为应用，我们证明了这两个新的可微性概念分别给出了导映象的连续性和均匀连续性的特征刻划。
As to their applications, the continuity and uniformly continuity of derivative mapping are characterized by the two new notions of differentiability.
多元函数的连续性，偏导数，方向导数及可微性之间的关系。
The Relation between the Continuity, the Partial Derivatives, the Directional Derivatives and the Differentiability of a Function.
遗传算法直接对结构对象进行操作，不存在函数可微性和连续性的限定，具有全局性，鲁棒性和隐并行性等优越性。
To solve problem, GA deals with structural object directly without any requirements of differentiability and continuation of function; it's global, robust and parallel in working mode.
本文在严格单调的前提下 ，讨论了积分中值函数的严格单调性、连续性和可微性 ，得到了具有一般性的结论。
In this paper, under the condition of strictly monotone, discusses strictly monotone , continuity and derivatiability of integral mean value function, and the general results are obtained.
本文在严格单调的前提下 ，讨论了积分中值函数的严格单调性、连续性和可微性 ，得到了具有一般性的结论。
In this paper, under the condition of strictly monotone, discusses strictly monotone , continuity and derivatiability of integral mean value function, and the general results are obtained.
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