python机器学习预测分析核心算法

说明：  LDL分解。作为矩阵方程数值解法最基础的矩阵分解算法，LDL算法可以高效分解对称矩阵。(LDL decomposition. Numerical Solution of matrix equation as the most basic matrix factorization algorithm, LDL decomposition algorithm can be efficient symmetric matrix.)

说明：  这是数值分析的一些作业实验，文件中有详细的文档对理论，实验和算法的说明，用于病态方程组求解的源代码(This is the numerical analysis of the experimental operation, the paper detailed documentation of theory, experiment and the algorithm shows that morbid equation for solving the source code)

非线性算法合集，包括牛顿拉夫逊法，Broyden拟牛顿法，弧长法，割线法。每种算法都包含有线性搜索迭代改进。(Nonlinear algorithm collection, including Newton Raphson, Broyden quasi-Newton method, arc-length method, secant method. Each contains a linear search algorithms for iterative improvement.)

edem接触程序，用于计算各种模型的接触力(edem modle)

蒙特卡洛资料，对于编写概率计算问题有较多的帮助，希望能帮到需要的人。(Monte Carlo)

从数据样本中随机选取一本分数据，运用K2算法进行贝叶斯网络结构学习(A sub-data randomly selected the data samples, using K2 Bayesian network structure learning algorithm)

在Z2[X]中判断一个多项式是否本原多项式，并能对给定的多项式求逆。 (in Z2 [X] to judge whether a polynomial primitive polynomial, and the right to the inverse polynomials.)

用分离变量法求得波动方程傅里叶级数近似解，改程序可画出示功图(Wave equation is obtained by separation of variables method Fourier series approximation solution, the app can show the indicator diagrams)

用ABAQUS及其子程序解决热冲压热力耦合问题(Subroutine with ABAQUS and hot stamping coupled thermal problem solving)

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