介绍了C语言中牛顿迭代算法的教学内容，并分析了其教学难点。
The paper introduces teaching content of Newton iteration algorithm in C language programming, and analysis its teaching difficulties.
本文基于信息极大似然估计，采用牛顿迭代算法，建立了ICA的一种信息极大快速算法。
In this paper, proposed is the informax fast algorithm of ICA using information maximum likelihood estimation with the Newton iterate algorithm.
此外，将牛顿迭代算法引入到抗干扰接收机信号处理的全数字AGC算法设计中，提出一种实现简单的牛顿迭代算法。
In addition, the application of Newton iterative algorithm in the design of all digital AGC system in anti-jamming receiver is studied. The simple function of design is offered.
设计了固体运载火箭上升段飞行程序，应用修正牛顿迭代法求解上升段弹道控制参数，推导了迭代算法公式。
We designed the flight program for solid launch vehicles, resolved the control parameter of ascent trajectory with modified Newton iterative method, and deduced the iterative formula.
在采用一个鲁棒性匹配误差映射函数的基础上，使用一种类牛顿法的迭代优化方法实现了基于仿射模型的图像目标跟踪算法。
With the use of a robust error mapping function, an affine model-based target tracking algorithm is formulated, in which a quasi-Newton's iterative method is implemented in the optimization progress.
推导了根据落点偏差求飞行程序角和发射方位角的牛顿迭代公式，设计了迭代算法，并给出了实际算例。
In this paper, Newton iterative formula based on deviations of dropping point is deduced and the iterative program is designed, an example is given.
基于输出层函数为线性函数的三层前馈神经网络，结合自适应步长和动量解耦的伪牛顿算法及迭代最小二乘法导出了一种混合算法。
On the basis of both adaptive BP algorithm and Newtons method, Quasi Newton algorithm with adaptive decoupled step and momentum (QNADSM) for feed-forward neural networks is derived.
利用牛顿方向和中心路径方向，获得了求解单调线性互补问题的一种内点算法，并证明该算法经过多项式次迭代之后收敛到原问题的一个最优解。
By using Newton direction and centering direction, we establish a feasible interior point algorithm for monotone linear complementarity problem and show that this method is polynomial in complexity.
提出了一种基于牛顿迭代法解方程组的射线和NURBS曲面求交算法。
A fast intersection algorithm for ray and NURBS surface is presented. The algorithm bases on the Newton iteration solution for equation set.
次优门限算法以最优门限分析为基础，在虚警概率约束下使用牛顿迭代给出求解门限的递推算法。
For suboptimal method based on optimal threshold analysis, a recursive form of threshold selection using Newton iteration is developed with false alarm probability constraint.
算法主要基于牛顿迭代法思想。
The main idea of the algorithm is based on the Newton iteration.
推导得到两种迭代学习辨识算法：迭代学习贝叶斯法和迭代学习随机牛顿法。
Two prototype algorithms of iterative learning identification, iterative learning Bayes and stochastic Newton algorithms, are proposed with detail.
在非线性方程组牛顿迭代法的基础上，进行五轴数控加工刀具轨迹求解算法研究。
Based on nonlinear equations Newton method, work out the 5-Axis NC tool path.
在非线性方程组牛顿迭代法的基础上，进行五轴数控加工刀具轨迹求解算法研究。
Based on nonlinear equations Newton method, work out the 5-Axis NC tool path.
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