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对该模型参数辨识采用递推最小二乘法，即 RLS（ recurisive least square）， 它是一种能够对模型参数进行在线实时估计的辨识方法。(The recursive least square method is used to identify the parameters of the model, that is, rls (recurisive least square), which is an online real-time estimation method for the model parameters)

MATLAB的希尔伯特谱分析，导入数据实现算出。最下二乘拟合算法。快速傅里叶变换详细算法。(MATLAB Hilbert spectrum analysis, import data to achieve calculation.The two by fitting algorithm. With the fast Fourier transform algorithm.)

潮流计算中拉丁超立方采样的算法，可利用其进行概率潮流计算(Flow calculation Latin hypercube sampling algorithm, can use its probabilistic load flow calculation)

Douglas-Peucker algorithm for a 2-dimensional data with example in matlab.

分别对beta估计值模拟分析、非中心对称分布、卡方拟合优度检验、筛选抽样随机数抽取、有限样本性质模拟这5个内容进行了编程说明(The five contents of beta estimation simulation analysis, non-centrosymmetric distribution, chi-square goodness-of-fit test, random number extraction of screening sampling and Simulation of finite sample properties are explained by programming.)

递推最小二乘法，辨识模型参数。。。。。。。。。(Least square method model identification)

高斯-塞德尔迭代、拉格朗日差值、牛顿法、四阶龙格库塔 与数值分析有关的公式(Gauss- Seidel iteration)

说明：  本文为JC法程序，用于计算结构的可靠度指标。(JC method for structure reliablibity.)

针对功放得到非线性失真，采用查表法预失真对功放的非线性进行补偿，仿真表明了补偿方式的有效性。(Obtained for nonlinear distortion amplifier, using the look-up table predistortion to compensate for non-linear power amplifier, simulation shows the effectiveness of compensation.)

abaqus二次开发UMAT在损伤方面的应用(ABAQUS two development of UMAT in the application of damage)