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使用matlab编辑M文件，模拟菲涅尔衍射显现象，压缩包中包含了4个M文件(M file editing using matlab to simulate the phenomenon of Fresnel diffraction significant)

上传的代码是 matlab宝典的代码 相信对于开发的人员是有帮助的(From the code book is the matlab code and I believe that the development of the staff was helpful)

基本的拉格朗日乘子法(又称为拉格朗日乘数法)，就是求函数f(x1,x2,...)在g(x1,x2,...)=0的约束条件下的极值的方法。其主要思想是引入一个新的参数λ（即拉格朗日乘子），将约束条件函数与原函数联系到一起，使能配成与变量数量相等的等式方程，从而求出得到原函数极值的各个变量的解。 (Basic Lagrange multipliers (also known as Lagrange multiplier method), is of a function f (x1, x2 ,...) in g (x1, x2 ,...)= 0 constraints under the conditions of extreme value methods. The main idea is to introduce a new parameter λ (the Lagrange multiplier), the constraint function is linked together with the original function, so variables can be paired with an equal number of equations equation, thus obtained by the original function extreme solution of the various variables.)

matlab的一些编程学习程序，mmatlab实用程序百例的源代码(some matlab programming learning process, mmatlab utility one hundred cases of source code)

it is useful for my studies

在快匹配运动估计算法中,它的计算复杂度可以描述成:运算量=搜索点×块匹配准则.该表达式可以这样解释,在快匹配准则确定的情况下,如果一个匹配点的单位运算量确定了,这时动动估计的动算量就有直接取于搜索的点数,也就是取决于运动估计的搜索算法，实现了三步搜索法(Match the fast motion estimation algorithm, its computational complexity can be described as: Operational × volume = search block-matching criteria points. The expression can be interpreted in such a way, the fast matching criterion to determine the circumstances, if a match point of the unit operator determine the amount, and then moving moving moving estimate of the volume operator has direct access to the points in the search, that is, depends on the motion estimation search algorithm, to achieve a three-step search method)

说明：  用来解决压缩感知里求解优化问题的算法matlab代码(solves the minimization problem. min_u ||u||_1+ lambda ||a*u- f||_2^2. algorithms are based on greedy coordinate descent and the bregman iterative method. matlab 7.5 (r2007b) image processing, mathematics, optimization, resconstruction . )

多个电力电子、电机仿真模型。是重要的学习电力电子simulink 仿真的素材，权威教材，内容较多，分成上下两集,这个是下(useful simulink modles for leaners)

对matlAB初步学习,最基础的教程。简单易懂！适用于初学者！(MATLAB preliminary study, the most basic tutorial. Easy to understand! Suitable for beginners!)

Gauss best fit approximation