ArduPlane APM四轴飞控

输入X，Y坐标，拟合公园，采用最小二乘法拟合，本人测试

用高斯-赛德尔迭代法求方程组的根。它的原理与简单迭代法相似，但在赛德尔迭代法中，每次迭代时充分利用当前最新的迭代值-With the Gauss- Seidel iterative method seeking the roots of equations. Its principle with simple iterative method similar, but the Seidel iteration method in each iteration to take full advantage of the current value of the latest iteration

C#编写的二重积分算法-数值分析算法-C# prepared by the Double Integral algorithm- numerical analysis algorithm

简单的讲，所谓拟合是指已知某函数的若干离散函数值{f1,f2,…,fn}，通过调整该函数中若干待定系数f(λ1, λ2,…,λ3), 使得该函数与已知点集的差别(最小二乘意义)最小。如果待定函数是线性，就叫线性拟合或者线性回归(主要在统计中)，否则叫作非线性拟合或者非线性回归。表达式也可以是分段函数，这种情况下叫作样条拟合。-Simply speaking, the so-called fitting refers to a function known to a number of discrete function values (f1, f2, ..., fn), by adjusting the number of undetermined coefficient function f (λ1, λ2, ..., λ3), makes the function and known points of difference (least squares significance) the smallest. To be determined if the function is linear, is called linear regression or linear regression (mainly in the statistics), otherwise known as non-linear fitting, or nonlinear regression. Expressions can also be a sub-function, this case is called spline fitting.

#include#include"String.h"#include#define ROW  6void read(float x[],float y[])//文件读取方便测试{ FILE *fp=fopen("num.txt","r"); rewind(fp); for(int i=0;i

这个程序是标准的BP神经网络，可以调整输入、输出和隐曾的维数。-this procedure is the standard BP neural network, can be adjusted input, output and has the implicit dimension.

用户输入起始值和终止值，若起始值大于终止值，程序会自动交换，然后程序会自动计算出该范围内的质数，并在文本框中显示。

已知某函数在已知点上的函数值，用拉格朗日插值多项式求出其余点的函数值lagrange.c-known function of a known point in the function, polynomial interpolation using Lagrange points obtained a function of the remaining value lagrange.c

这个是Fortran求积分的源代码，包括高斯五点法，高斯三点法，抛物线法，梯形法。希望能对大家有帮助。

等值线插值Pascal程序-contours Pascal interpolation procedures