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minimizer相关的网络例句

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与 minimizer 相关的网络例句 [注:此内容来源于网络,仅供参考]

But we can prove that the corresponding Eulur\'s function is bounded from below in a proper set S of W_0~(1,p)× W_0~(1,q), and then a minimizer of Eulur\'s function in S gives rise to a solution of the problem.

但是,我们可以证明欧拉泛函在合适的集合S中有下界,因此在该集合中利用变分方法寻找泛函的极小就可以得到原问题的解。

And we also prove the existence theorem of minimizer for the new model by means of Poincares inequality and the lower semi-continuity of bounded variation functions.

根据有界变差泛函中的Poincare不等式和下半连续性,证明了该模型极小值的存在性。

And we also prove the existence theorem of minimizer for the new model by means of Poincare's inequality and the lower semi-continuity of bounded variation functions.

根据有界变差泛函中的Poincare 不等式和下半连续性,证明了该模型极小值的存在性。

Secondly, a finite element method is used to approximate the constrained minimization problem, both existence of minimizer for cost functional in finite demensional space and the convergence of minimizer are proven.

然后利用有限元方法对上述定解问题进行离散,并证明了有限维空间上泛函的极小元存在以及有限维空间上的极小元收敛到无限维空间上的极小元。

On the basic that existing second-order sufficient condition for an isolated minimizer of order 2 for unconstrained multi-objective optimization, using the so called oriented distance from a point to a set, l-stable function and generalized second-order Peano direction derivative, some second-order sufficient conditions for an isolated minimizer of order 2 for constrained multiobjective optimization problems with l-stable functions are obtained.

在已有的无约束l-稳定函数多目标优化问题的二阶充分条件的基础上,借助定向距离函数和l-稳定函数的性质及引入的广义二阶Peano方向导数,进一步刻画了具有抽象约束的l-稳定函数的多目标优化问题的二阶孤立极小点的二阶充分条件。

Nevertheless, it is established that the sequence of iterates produced by the method of Hooke and Jeeves converges to the unique minimizer of f

然而,确定的是胡克和吉夫斯方法的叠代序列收敛于f的唯一最小值。

The second part of the paper, it is shown the partial regularity of minimizer of energy functional, where integrand function satisfies linear growth. In the course of proof, we show the space exists.

在证明过程中,主要是证明存在一个空间,在此空间中,能量泛函极小的奇异部分消失。

Besides, we also get some properties of the minimizer.

此外,我们也得到极小值的一些性质。

Then, Actual Window Minimizer is the way to go!

那麼,实际的窗口极小,是要走的路!

For example, if is continuous and strongly unimodal, he argues that convergence to a minimizer is guaranteed.

比如,如果f是连续和强单峰的,他声称可以保证收敛到最小值。

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