PFC

在matlab里利用逆矩阵算法对于一个给定的波前来算它的泽尼克系数(Zernike Polynomial Coefficients for a given Wavefront using Matrix Inversion in Matlab )

说明：  Matlab求解微分方程组，几种经典算法(MATLAB Solves Differential Equations, Several Classical Algorithms)

电磁场与微波技术下的射线追踪技术。应用c语言编程(Electromagnetic Field and Microwave Technology under the ray tracing technique. Application c programming language)

变增益PID算法的c++实现，目前PID算法较多的是c代码写的，这里上传一个C++的(Variable gain PID algorithm c++ to achieve, the current is more PID algorithm code written in c, where a C++ From the)

说明：  用于三维条件下的推板造波法udf,冲程与周期可修改，附带消波udf和cas文件(generating waves with pushboard under 3D condition)

计算半方差，如果按克里金法计算插值要求计算半方差，用此程序可实现。(Calculation of semi-variance, if the Kriging interpolation method call for the calculation of semi-variance, using this procedure can be realized.)

基于解相干的MUSIC源程序 矩阵分解算法 Toeplitz算法 矢量奇异值法 双向空间平滑MUSIC源程序(Based on decorrelation MUSIC algorithm source Toeplitz matrix factorization algorithms singular value vector bi source spatial smoothing MUSIC)

快速排序法和堆排序法Fortran90程序，其中快速排序法使用到了递归过程，因此对于堆栈要求较高(both Quicksort and Heapsort program are used for sort array. Note that a recursion process is used in Quicksort program, Thus it need require a relative high stack size.)

说明：  移动最小二乘法程序，用MATLAB编写的函数形式，直接可以调用(Moving Least Square Method)

《数值分析方法库_第三版 》本书选材内容丰富，包括了当代科学计算过程中涉及的大量内容：求特殊函数值、随机数、排序、最优化、快速傅里叶变换、谱分析、小波变换、统计描述和数据建模、偏微分议程数值解、若乾编码算法和任意精度计算等。本书科学性和实用性统一，不仅对每种算法进行了数学分析和比较，而且根据作者经验对算法给出了评论和建议，并在此基础上提供了用C++语言编写的实用程序。 (《Numerical Recipes 3rd Edition: The Art of Scientific Computing》, Do you want easy access to the latest methods in scientific computing? This greatly expanded third edition of Numerical Recipes has it, with wider coverage than ever before, many new, expanded and updated sections, and two completely new chapters. The executable C++ code, now printed in color for easy reading, adopts an object-oriented style particularly suited to scientific applications. Co-authored by four leading scientists from academia and industry, Numerical Recipes starts with basic mathematics and computer science and proceeds to complete, working routines. The whole book is presented in the informal, easy-to-read style that made earlier editions so popular. Highlights of the new material include: a new chapter on classification and inference, Gaussian mixture models, HMMs, hierarchical clustering, and SVMs a new chapter on computational geometry, covering KD trees, quad- and octrees, Delaunay triangulation, and)