lagrange

说明：  使用C++写的一个可以自动(在运筹学领域)计算单纯形表，并打印每一步的运算结果(a simple code to compute simplex table in operating research and print out the result of each step.)

三次样条插值的C语言算法,但是总是数据溢出(Cubic spline interpolation C language algorithm, but always data overflow)

素性检测的miller-rabin算法。。。。。(Primality testing)

偏微分方程数值解法的程序包，其中包括laxfriedrichs，laxwendroff和迎风格式等例程(Numerical Solution of Partial Differential Equations of the package, including laxfriedrichs. laxwendroff upwind and other routines)

The following is an example of how Microsoft Solver Foundation can be used to solve a constraint satisfaction problem (CSP) like generating a typical Sudoku problem. Sudoku http://www.codeproject.com/Articles/419389/Sudoku-using-Microsoft-solver-foundation In this article I do not attempt to explain everything there is to know about constraint satisfaction problems, but I will go over the concepts in the hope that even if you have never heard of CSP you will still get the idea.

计算离散傅里叶变换的一种快速算法，简称FFT。快速傅里叶变换是1965年由J.W.库利和T.W.图基提出的。采用这种算法能使计算机计算离散傅里叶变换所需要的乘法次数大为减少，特别是被变换的抽样点数N越多，FFT算法计算量的节省就越显著。(A computing discrete Fourier transform fast algorithm, referred to as FFT. Fast Fourier Transform in 1965 by the JW Cooley and TW Tuji Ti out. Using this algorithm enables a computer to calculate the number of multiplications needed for the discrete Fourier transform greatly reduced, especially sampling points N is transformed more and save FFT algorithm to calculate the amount of the more remarkable.)

说明：  本模拟是采用分步傅里叶的解，求光孤子在光线内传输过程数值求解薛定谔方程。方程是激光器在光纤中传输的过程。(In this simulation, the fractional Fourier solution is used to solve the Schrodinger equation. The equation is the process of laser transmission in fiber.)

CS算法OMP该进算法，对傅里叶与 的信号进行稀疏采样(Compressive Sensing OMP)

使用matlab进行 有限元计算，内含多种方式方法，欢迎交流讨论(Finite element calculation using matlab)

面向对象的有限元程序设计。与传统的有限元程序相比，面向对象有限元程序更易于编写、更易于维护和扩充，程序代码的可重用成分更大。(object oriented finite element programming)