CFDMethod

PLS部分最小二乘工具箱,数值分析的EULER法，matlab编写的元胞自动机。( PLS PLS toolbox, EULER numerical analysis method, matlab prepared cellular automata.)

level set method in fortran.基本控制方程离散求解。(level set method)

matlab的smote算法，可以用于分类时样本数据不平衡的问题(matlab smote algorithm, can be used to sample data classification problem of unbalanced)

实现了bch编码，基于有限域多项式除法,自己动手写的，大家可以看下(Based on division in galois field，relize the BCH code )

使用格子boltzmann方法模拟气液两相流运动(Lattice Boltzmann method(LBT) to simulate two phase flow)

feap 有限元程序，国外某大学的开源程序(feap finite element program)

说明：  Abaqus复合材料Hashin失效子程序(Failure subroutine of Hashin for ABAQUS composite)

计算基尔霍夫近似下镜面与非镜面的反射系数，同时得到距离散射点2米的接收功率(Calculation Kirchhoff approximation of specular and non-specular reflection coefficient, while the reception power obtained from the scattering points of 2 meters)

Fortran常用算法程序集-徐士良著,本书讲解了各种数值计算方法及其程序实现,此为程序第一部分,(Fortran commonly used algorithm assembly-Xu Shiliang, this book explains various numerical calculation methods and their program implementation, this is the first part of the program.)

Orthogonal Polynomials Approximation 数值分析，计算正交基多项式的系数 (Given a function f and a set of m >0 distinct points . You are supposed to write a function to approximate f by an orthogonal polynomial using the exact function values at the given m points with a weight assigned to each point . The total error must be no larger than a given tolerance. Format of function int OPA( double (*f)(double t), int m, double x[], double w[], double c[], double*eps ) where the function pointer double (*f)(double t) defines the function f int m is the number of points double x[] contains points double w[] contains the values of a weight function at the given points x[] double c[] contains the coefficients of the approximation polynomial double*eps is passed into the function as the tolerance for the error, and is supposed to be returned as the value of error. The function OPA is supposed to return the degree of the approximation polynomial. Note: a constant Max_n is defined so that if the total error is still not small enough when n = Ma)