文中运动学分析部分保留了牛顿算法的某些优点。
The advantages of Newtonian algorithm are remained in the kinematical analysis of this method.
在多种常用的非线性局域优化算法中，高斯·牛顿算法具有较快的收敛速度。
In many usually used nonlinear local optimization algorithms, Gauss Newton's is of fast convergent speed.
依据牛顿算法及渐近解分析，本文提出了一种梯形明渠临界流方程的直接算法。
By Newton algorithm and the analysis for asymptotic solution, this paper presents a direct formula for calculating critical depths of trapezoidal open channels.
拟牛顿算法的缺点是所需存储量较大，对于大型问题，可能遇到存储方面的困难。
The disadvantages of quasi-Newton algorithm is the great memory, so for large problems, memory difficulties may be encountered.
数值实验结果表明，与牛顿算法相比，该算法简单直观，具有较高的求解准确性。
Numerical experimental results indicate that this algorithm has higher solution accuracy than Newton algorithm.
应用拟牛顿算法求解非线性规划问题的增广拉格朗日函数，并给出了相应的拟牛顿公式。
The quasi-Newton method was applied to solving the augmented Lagrangian function of nonlinear programming problems. Further, the quasi-Newton formula was given.
为了提高复合双基地雷达系统对目标的定位精度，以及充分利用冗余信息，提出了基于高斯·牛顿算法的空间目标定位算法。
For improving targets location accuracy and fully utilizing redundant information in complex bistatic radar systems, a new target location algorithm based on Gauss-Newton iterative is proposed.
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.
为了提高支持向量机(SVM)的识别性能，提出了在常用内核的基础上构造一个组合内核函数，然后用拟牛顿算法对其超参数进行优化的方法。
To improve the performance of support vector machines (SVM), a hybrid kernel is constructed from the existing common kernels, and the hyper-parameters are optimized by using a quasi-Newton method.
牛顿法是算法的一个例子：通过一系列机械的步骤来解决一类问题(在本章中是用来计算平方根)。
Newton's method is an example of an algorithm: it is a mechanical process for solving a category of problems (in this case, computing square roots).
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.
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.
保留非线性潮流算法是为了改进牛顿法在处理病态条件时的缺陷，提高收敛性能而提出的。
The retaining-nonlinearity algorithm was presented in order to ameliorate the limitation left by Newton-Raphson who dealt with morbidity condition, and thus improved the astringency.
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.
牛顿法是求解非线性方程组的经典的高阶算法。
Newton's method is a classical algorithm with a high order of convergence for solving systems of nonlinear equations.
将递推牛顿·欧拉动力学算法推广到更一般情况。
An iterative Newton-Euler dynamics algorithm is extended to general case.
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.
PCG算法是牛顿法和预优共轭梯度法结合起来解牛顿方程的一种非精确牛顿法。
Newton PCG method is an inexact Newton like method. It is an organic combination of Newton's method and preconditioned conjugate gradient method.
研究球形约束变分不等式求解的算法，提出一种光滑化牛顿方法，证明了该方法具有全局收敛性和超线性收敛。
In this paper we present a smoothing Newton method for solving ball constrained variational inequalities. Global and superlinear convergence theorems of the proposed method are established.
在牛顿·拉夫逊法的基础上提出了一种支路重载型潮流算法。
A branch-congruency power method is presented, based on improved Newton-Raphson power flow algorithm.
这些分形算法是构造广义M集的算法基础，而牛顿法则是对广义M集中特殊点进行数学分析与求值的重要手段。
These fractal algorithms are used to construct the generalized M set, and Newton's method is a strong tool to analyze and compute the important points in the generalized M set.
在此基础上，建立了最小方差损失函数，并结合高斯·牛顿预测误差方法，提出了稳定的，高性能的，在线的复频率直接估计算法。
A cost function is presented, and by applying Gaussian-Newton type recursive prediction error based method, a stable and efficient online frequency estimation algorithm is derived.
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.
提出了一种基于牛顿法的三相配网状态估计算法。
A three phase distribution system state estimation algorithm is proposed in this paper which based on Newton method.
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.
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.
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.
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.
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