PROgrams-of-materials

基于多相结构的信道化接收机，模拟数据分析处理的过程，时间序列数据分析中的梅林变换工具。( Channelized receiver based on multi-phase structure, Analog data analysis processing, Time series data analysis Mellin transform tool.)

吉尔算法积分一阶微分方程组初值问题的C语言描述，包括主函数、计算微分方程组中各方程右端函数值的函数程序、计算雅克比矩阵的函数程序、矩阵求逆程序等。(GEAR algorithm integral first order differential equations initial value problem of the C language description, including the main function to calculate the differential equations in the equation right function value function procedures, functions Jacobian matrix calculation procedures, matrix inversion procedures.)

地球科学（Fortran90）: 计算空间重力异常、扰动重力、垂线偏差或重力梯度的垂向梯度。 计算方式：数值积分、二维平面FFT、二维球面FFT或一维FFT。(Earth Science (Fortran90): calculate the gravity anomaly, gravity disturbance, the deflection of the vertical or gravity gradient vertical gradient. Calculation: numerical integration, FFT of the two-dimensional plane, two-dimensional spherical FFT or one-dimensional FFT.)

详细介绍了有限元法基础知识，对有限元入门者很有帮助(Details the basics of the finite element method, finite element beginners helpful)

说明：  MATLAB实现自定义的拉格朗日插值和牛顿插值，均包括主调函数和被调用函数，程序简单易懂。(MATLAB realizes the self defined Lagrange interpolation and Newton interpolation, both including the main function and the called function, the program is simple and easy to understand.)

求解二维平面等熵涡的matlab程序，计算流体力学，MacCormack格式，均匀网格(Solving two-dimensional plane isentropic vortex matlab program, computational fluid dynamics, MacCormack format, uniform grid)

《计算理论导引》(作者)[美] Michael Sipser(译者)张立昂 王捍贫 黄雄 机械工业2000年2月第1版.pdf(Computational Theory，(Author) [America] Michael Sipser (translator) Zhang Li Ang Wang Hanpin Wong Hung Machinery Industry in February 2000 1st edition. Pdf)

说明：  机器学习的鸢尾花数据集的应用逻辑回归算法分类(Classification of iris data set by logical regression algorithm)

快速计算相关系数的c代码,比较适用于统计学(Very efficient implementations for calculating correlation efficients )

对于方程组AX=b，当系数矩阵非奇异时，对原方程进行改写，利用公式X^k=BX^(k+1)+g进行迭代求解。(For equations AX = b, when the coefficient matrix is ​ ​ nonsingular, rewriting the original equation, using the formula X ^ k = BX ^ (k+1)+g for iterative solution.)