A subspace truncated-Newton algorithm for large-scale bound constrained optimization is proposed.
给出了大规模界约束优化的一个子空间截断牛顿法。
Uses a reduced-Newton algorithm with a weak line search to solve a set of non-linear algebraic equations.
使用简化的牛顿计算方法和弱队列搜索来解决一系列的非线性代数方程。
The results showed that the practically mixed algorithm was better than simple GA or Gauss-Newton algorithm.
结果表明合成算法优于单纯的遗传算法或高斯-牛顿法，在实践中有一定的应用价值。
Numerical experimental results indicate that this algorithm has higher solution accuracy than Newton algorithm.
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。
The disadvantages of quasi-Newton algorithm is the great memory, so for large problems, memory difficulties may be encountered.
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 EML registration is achieved by two step recursive optimization. The quick convergence is assured through the improved Gauss Newton algorithm.
该算法通过两步递 归最优化方法来实现 ，并采用改进的高斯—牛顿法来确保算法的快速收敛 性。
By Newton algorithm and the analysis for asymptotic solution, this paper presents a direct formula for calculating critical depths of trapezoidal open channels.
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。
In is established the equivalence between the nonlinear inequalities with nonlinear equations by using auxiliary function, a descended Newton algorithm is proposed.
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。
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.
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。
In this paper, proposed is the informax fast algorithm of ICA using information maximum likelihood estimation with the Newton iterate algorithm.
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。
A branch-congruency power method is presented, based on improved Newton-Raphson power flow algorithm.
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。
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.
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。
A fast intersection algorithm for ray and NURBS surface is presented. The algorithm bases on the Newton iteration solution for equation set.
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。
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.
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。
In this paper, a special support vector regression machine algorithm is proposed, within which smoothing function and method to solve LC1 type functions are combined to solve Newton-type algorithm.
分别采用光滑化函数法和求解lc1函数类型方法对牛顿型算法进行研究求解。
An iterative Newton-Euler dynamics algorithm is extended to general case.
将递推牛顿·欧拉动力学算法推广到更一般情况。
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.
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。
Experimental results show that if the parameters are assumed reasonably, the hybrid algorithm has higher stability, localization rate and localization precision than GA and quasi-Newton method.
仿真结果表明，在参数设置合理的前提下，相比遗传算法和拟牛顿法，该混合算法性能稳定，具有较快的定位速度和较高的定位精度。
The main idea of the algorithm is based on the Newton iteration.
算法主要基于牛顿迭代法思想。
Compared with the quasi Newton methods and ACA, the solution accuracy of new algorithm is not only improved, but also the convergent reliability is increased.
与拟牛顿法和蚁群算法相比，新算法不仅提高了解的精确性，而且增强了收敛的可靠性。
A robust adaptive algorithm for FIR filters based on the quasi-Newton class of optimization methods is derived, which can be regarded as the improvement of RLP algorithm on the problem of stability.
针对RLP算法的数值不稳定性，基于拟牛顿优化方法，提出了一种稳健的自适应FIR滤波算法。
In respect of programming, the improved Newton iteration algorithm is associated with function designations, therefore input and transfer of nonlinear functions are solved.
在编程技术方面，将改进的牛顿迭代法与函数调用相结合，解决了非线性函数的输入与转移问题。
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 three phase distribution system state estimation algorithm is proposed in this paper which based on Newton method.
提出了一种基于牛顿法的三相配网状态估计算法。
The basic formula of the algorithm of definite integral is Newton-Leibniz formula.
计算定积分的基本公式是牛顿一菜布尼兹公式。
Based on the analysis of the look-up table method and Newton iteration algorithm the paper improves the Newton iteration method for the square root calculation.
在分析了查表法以及牛顿迭代法的基础上，对开平方计算的牛顿迭代法进行了改进。
A algorithm for simulating reactive-distillation process is proposed by using the global-liquid components Newton Raphson method.
提出了用全液相组成牛顿拉夫森法模拟反应精馏的解算方法。
A algorithm for simulating reactive-distillation process is proposed by using the global-liquid components Newton Raphson method.
提出了用全液相组成牛顿拉夫森法模拟反应精馏的解算方法。
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