Gausshermite

4th exercise of computer graphics course

说明：  Numerical Analysis\Numerical Analysis-Numerical Methods Using MATLAB(Numerical AnalysisNumerical Analysis-Numerical Methods Using MATLAB)

This is an example of the combining programme using VC++6.0 and Matlab 7.0.

逻辑航迹起始算法代码，实现简单的逻辑算法(logical algorithm for Track initiation)

说明：  安全编程修炼之道英文版和代码,比较详细，推荐(coding_for_security)

function [ H ,S ] = HS( f ) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1=diff(f,x1) f2=diff(f,x2) S= [f1 f2] H = [diff(f1,x1) diff(f1,x2) diff(f2,x1) diff(f2,x2)] end s0=subs(S,findsym(S),[0 0])(function [H, S] = HS (f) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1 = diff (f, x1) f2 = diff (f, x2) S = [f1 f2] H = [diff (f1, x1) diff (f1, x2) diff (f2, x1) diff (f2, x2)] end s0 = subs (S, findsym (S), [0 0 ]))

通过实际的例子学习simulink中s函数的使用及编写(Learning through practical examples of the use of the simulink s in function and write)

Amplitude Shift Keying Simulation

用镜像矩阵求出矩阵的QR分解（正交三角分解），并求解线性方程组，该方法不必选主元，但其计算过程非常稳定。也可用于求矩阵的广义逆和求解线性最小二乘问题。子过程QRDCMP用镜像矩阵求m*n矩阵A的QR分解，A=Q^TR,其中Q是m*m正交矩阵，R为m*n上三角矩阵；子过程QRBKSB用矩阵的QR分解求解线性方程组Ax=b，其中A为n阶非奇异方阵。(Matrix obtained with the mirror matrix QR decomposition (orthogonal triangular decomposition), and solving linear equations, the method does not have to choose the main element, but its calculation process is very stable. Can also be used to find the generalized inverse matrix and solving linear least squares problems. Sub-process of the mirror matrix QRDCMP m* n matrix A QR decomposition, A = Q ^ TR, wherein Q is a m* m orthogonal matrix, R is m* n upper triangular matrix subprocess QRBKSB a QR decomposition to solve the matrix linear equations Ax = b, where A is non-singular square matrix of order n.)

利用Matlab对Kouch曲线的程序编写，能生成Koch曲线并绘制图形，级数作为外部参数输入，可调整。(The use of Matlab program of Kouch curve to write, can generate Koch curve and graphics rendering, series as external input parameters, can be adjusted)