IntegerProgrammingProblems

对一维光谱实现偏最小二乘回归进行UVE变量选择(UVE variable selection on the spectrum)

Covariance Matrix adaptation ES for optimizing

1. 牛顿迭代法 function [x,i]=newtonmethod(x0,f,ep,Nmax) 牛顿法求非线性方程根 x0是输入初始值, f是输入函数, 精度要求ep, Nmax为最大迭代次数 x是输出迭代序列,i是迭代次数 2. 二分法 function [x,k]=bisection(a,b,f,ep) 二分法解非线性方程 输入区间[a,b],函数f和误差ep, Nmax为最大二分次数 x为输出近似根, k为二分次数 ( Newton s law and the dichotomy)

这些代码可以用于产生一系列随机数，可以根据需要使用。(These codes can be used to generate a series of random numbers may be used as needed.)

此为基于图像配准的傅立叶变换源代码，已精心调试过，请放心使用.(This is the image registration based on the Fourier Transform source code, has been painstakingly debugging, please rest assured that use.)

有限体积法求解流动和传热问题的经典源代码(Classic source code finite volume method for solving the problem of flow and heat transfer)

说明：  设计一个函数，其功能是同时求得长度为20的整型数组所有元素中的最大值、最小值和平均值。并用相应的主函数对其进行测试，测试数组可以用随机数填充或者自行定义数据。(The design of a function, its function is to obtain the length of the maximum, minimum and average 20 integer array element. And its main function testing, the test array can be populated with a random number or define your own data.)

二维热传导扩散方程的高斯-赛德尔迭代方法。(A two-dimensional thermal diffusion problem using Gauss-Seidel iteration method.)

gmres 方法。视图求解线性方程组A*x=b的解x。nXn的稀疏矩阵A必须是方程且应是大型稀疏矩阵。列向量b的长度必须为n。(gmres method. View solving linear equations A* x = b the solution x. nXn sparse matrix A must be equation and should be large sparse matrix. The length of the column vector b must be to n.)

最小二乘法和总体最小二乘法，来自《矩阵分析与应用》(Least squares and total least squares method the Matrix Analysis and Applications )