本文完全用初等的方法证明了完全集上连续可微函数都有可微开拓。
By very elementary method, it is proved that every continuous differentiable function defined in a perfect set has differentiable extension.
当收入函数、成本函数为连续可微函数，边际收入等于边际成本，即边际利润等于零时，利润最大；但在离散情况下，上述结论不一定成立，并给出反例。
In this paper I get the profit be maximum, as the revenue function, cost function are continuous differential and the margin revenue equals margin cost, that marginal profit equals zero.
对此，阐明了一些有效的建议，并给出了无处可微连续函数的图示结果。
Some Suggestions for executing this method are presented, graphical results of nowhere differentiable continuous function are shown.
该方法对目标函数无连续、可微等要求，能较快地收敛到全局最优权系数。
Usually, the algorithm can quickly converge to the global optimum weight coefficients.
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.
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.
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.
采用引进具有二阶连续可微的辅助函数，将非线性不等式组转化为非线性方程组，然后利用牛顿迭代法对非线性方程组进行求解。
In is established the equivalence between the nonlinear inequalities with nonlinear equations by using auxiliary function, a descended Newton algorithm is proposed.
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.
讨论了一类多目标优化问题的区间斜率方法，其中目标函数是一阶连续可微的。
This paper describes the interval slope methods for a class of multiobjective optimization problems, of which the objective functions are in C1.
说明了值函数在整个平面上是连续的，在左右两个半平面的内部还是连续可微的。
The value function turns out to be continuous in the whole plane, and is even continuously differentiable in the interiors of both right and left half planes.
说明了值函数在整个平面上是连续的，在左右两个半平面的内部还是连续可微的。
The value function turns out to be continuous in the whole plane, and is even continuously differentiable in the interiors of both right and left half planes.
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