条件收敛的

The family of iterative methods avoid evaluating the second Frechet derivative.

在第一章中，我们总结了各种迭代法和它们的收敛条件及证明各种迭代法收敛性的技巧。

Under appropriate conditions, we obtain the global and quadratic convergence of the proposed method.

在适当的条件下，我们证明了算法的全局收敛性和二阶收敛性。

Under mild conditions, we prove that our algorithm has the properties of global convergence and quadratic convergence.

在适当的条件下，证明了算法的全局收敛性和二次收敛性。

Based on the iteration theories of linear equations, the convergence property of CA-CMAC in incremental learning was analyzed.

然后提出了信任度矩阵和信任度关联矩阵的概念，并根据线性方程组迭代理论，证明了改进算法在增量学习时的收敛性，给出了收敛条件并进行了验证。

Its global convergence and linear convergence rate were proved under some mild conditions.

提出一类新的求解无约束优化问题的记忆梯度法，在较弱条件下证明了算法具有全局收敛性和线性收敛速率。

Credit matrix and credit correlation matrix were presented. Based on the iteration theories of linear equations, the convergence property of CA-CMAC in incremental learning was analyzed.

然后提出了信任度矩阵和信任度关联矩阵的概念，并根据线性方程组迭代理论，证明了改进算法在增量学习时的收敛性，给出了收敛条件并进行了验证。

The global convergence and local superlinear rate are obtained under certain conditions.

在一般信赖域方法的假摘要设条件下，我们证明了该方法的全局收敛性及局部收敛速度。

However, in many cases, one must give rather strong conditions, such as the strong monotonicity, to ensure the convergence of the method.

不过，在许多情形下，该算法的收敛需要较强的条件，诸如强收敛性等。

Puthermore,we make a comparison between its optimum spectral radius and that of SOR method and draw a conclusion that these two methods have their own advantages respectively under different conditions.

除了对迭代方法的研究和改进，对方程组本身做某些处理，如对它进行预条件也是有效改善迭代收敛性，加快迭代收敛速度的方法之一。

Under mild conditions, we prove the global and superlinear convergence of the method.

在较弱的条件下，得到了算法的全局收敛性及其超线性收敛性。

Finally, according to market conditions and market products this article paper analyzes the trends in the development of camera technology, and designs a color night vision camera.

最后根据市场情况和市面上产品的情况分析了摄像机技术的发展趋势，并设计了一款彩色夜视摄像机。

Only person height weeds and the fierce looks stone idles were there.

只有半人深的荒草和龇牙咧嘴的神像。