learn_struct_K2

说明：  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)

程序是庄茁大神经典的Johnson-Cook模型隐式算法 另外包括一个 ABAQUS-Standard用户材料子程序实例的文档说明(The program is a classic Johnson-Cook model implicit algorithm and it includes documentation of an ABAQUS-Standard user material subroutine example)

ABAQUS渐近损伤 用于分析层合板渐近损伤 包含刚度折减(progresive damage)

说明：  APdL参数化有限元分析技术及其应用实例(APdL parameterized finite element analysis techniques and its application)

python机器学习预测分析核心算法的例程(Python machine learning prediction and analysis of core algorithm routines)

结合粒子群优化算法和和声搜索算法的优点，有效将群智能思想和随机全局搜索相融合，在几个函数优化问题中得到了验证 (Combining particle swarm optimization algorithm and harmony search algorithm advantage, effective will swarm intelligence thought and random global search phase fusion, in several function optimization problem has been proved )

线性方程组的计算，采用的是高斯消元法来实现的。只有主要的算法代码，没有写主函数(Calculation of linear equations using the Gauss elimination method to achieve. Only the main algorithm code, did not write the main function)

采用四阶龙格库塔方法进行微分方程解算,用matlab编写的源代码,主要用于四元素微分方程的实时解算(Using fourth-order Runge-Kutta methods for differential equation solvers, prepared to use matlab source code, mainly for the four elements of real-time differential equation solver)

统计格点数据文件A和文件B中物理量间的相关系数，平均误差，均方根误差，绝对误差。(Statistics grid data file A and file B, the correlation between physical quantities, the average error, root mean square error, absolute error.)

计算一般的mie散射光强等参数的精确程序，得到muller矩阵的各个元素表达式(scattering of Mie)