IMLS

西安电子科技大学葛德彪教授书后所附fortran程序(Xidian University, Professor Ge Debiao book accompanying fortran program)

说明：  用Fortran编程求解简单的一元二次方程案例(Solving quadratic equation of one variable)

统计学习经典教材，面试必备，详细介绍支持向量机、Boosting、最大熵、条件随机场等十个统计学习方法。(Classic textbooks for statistical study are essential for interviews)

产生 50 个标准正态分布的随机数, 经验累计分布函数图.(Random number generated 50 standard normal distribution, noting their distribution characteristics, and to draw experience cumulative distribution function diagram.)

Legendre polynomial fitting(勒让德多项式拟合) 该算法程序找出N阶勒让德多项式你的的权值系数 (Legendre polynomial fitting (Legendre polynomial fitting) procedures to identify the algorithm N-order Legendre polynomials your weight coefficient)

说明：  一般的最小二乘通常是一次拿到全部的数据， 对所有数据进行统一优化计算得到模型系数。递推最小二乘是以一种递推的方式计算最小二乘，每次使用最新的测量值，来不断更新模型系数。(General least squares usually get all the data at one time, and perform unified optimization calculations on all the data to get the model coefficients. Recursive least squares is to calculate the least squares in a recursive way, each time the latest measured value is used to continuously update the model coefficients.)

说明：  四阶龙哥库塔方法求解一阶微分方程的数值解法，能自定义迭代步数和迭代精度，非常适合于计算方法的初学者。(Long Ge Kuta fourth-order methods for a numerical solution of differential equations can be customized and iterative iterations precision calculation method is suitable for beginners)

多项式拟合，最小二乘法，c++版本实现，运行环境vc6(Polynomial fitting)

说明：  代码为偏最小二乘法计算过程的代码，主要部分都有中文解释(Code for the calculation process of partial least squares method)

移动最小二乘曲线拟合原理，论文中分析了一维和二维的例子，并且同最小二乘法进行比较。(Moving least squares curve fitting principle, the paper analyzes the one-dimensional and two-dimensional case, and compared with the least squares method.)