该系统所采用的算法由于作了某些必要的近似处理，避免了直接解非线性方程组同时又满足了精度要求。
By making some necessary approximations, the algorithm used for this system is able to avoid solving directly system of nonlinear equations without losing the expected accuracy.
文章利用近似逆矩阵构造了一类求解线性方程组的并行迭代算法。
In this paper, a parallel iterative algorithm for linear equations is given by approximating inverse of a matrix.
比较了基于广义高斯分布近似和非线性变换(NLMIR)的两种最小互信息盲接收算法。
Minimum mutual information blind receiver that based on approximated generalized Gaussian distribution (GGMIR) and that use nonlinear transformation (NLMIR) are compared.
该方法关于数据库的大小、属性个数具有近似线性时间复杂度，这使得算法具有好的扩展性。
The method has the nearly linear time complexity with the size of dataset and the number of attributes. This results in good scalability.
在工程实际的框架稳定计算中，一般采用计算长度法等一阶近似计算法，由于采用了较多的假设，因此只能进行近似线性计算。
It is usually use first-order method such as effective lengths method in engineering practical stability compute. Because of much hypothesis adopted, so it can only make approximate analysis.
该文采用上述情形的多普勒频率的分段一阶近似模型，在此基础上，提出一种基于推广RELAX算法的线性调频信号参量估计方法。
In this paper, the first order approximate model of Doppler frequency is assumed, and an algorithm based on the extended RELAX method is proposed to estimate the parameters of chirp signals.
锁相环一般采用线性分析，相平面图，近似计算法以及计算机模拟来设计。
In general, the design of phase-lock loops has been done by a combination of linear analysis, phase plane plots, rule of thumb, and simulation.
分析了已有的序列线性复杂度分析方法，提出了用近似熵算法计算混沌运动的测度熵，作为衡量混沌伪随机序列复杂度的标准。
In this paper, the conventional pseudo-random sequence linear complexity is discussed, and a new criterion is proposed, based on the approximate entropy.
新算法不需提供非线性方程的偏导数，但可利用近似偏导数指导搜索方向，提高搜索效率。
The new algorithm could use differential information to guide searching direction without providing derivatives, so as to simplify fitting process and raise searching efficiency.
基于一种新的线性化近似模型，提出一类双层最优迭代算法。
According to the model, a new dual-staged optimal iterative learning control scheme is proposed.
针对传统的多目标优化算法必须通过线性加权的方式处理目标函数，只能达到近似的优化问题。
For the reason that multi-objective optimization in traditional need to deal with the aim function by Linear-weighted, could only achieve optimize approximately.
针对传统的多目标优化算法必须通过线性加权的方式处理目标函数，只能达到近似的优化问题。
For the reason that multi-objective optimization in traditional need to deal with the aim function by Linear-weighted, could only achieve optimize approximately.
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