Matlab3

捷联惯性导航领域的姿态更新算法仿真，包括二子样、三子样和四子样的对比。(In the field of strapdown inertial navigation attitude updating algorithm simulation, including two sample, the third and the fourth kind of contrast.)

计算傅里叶变换程序，输入光谱，计算其傅里叶变换极限(Computing the Fourier transform procedure, the input spectra, calculate the Fourier transform limit)

这是最小二乘法多项式拟合的算法 很有参考价值的程序,(This is the least squares polynomial fitting algorithm is very useful procedure,)

用于处理电力系统中含有4个节点的随机潮流计算(Four nodes to deal with the random flow calculation)

室内无线定位技术，基于两次最小二乘法的matlab仿真程序(Indoor wireless positioning technology, based on the two least-squares method matlab simulation program)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(Conjugate gradient method (Conjugate Gradient) is between the steepest descent method between the method and Newton' s method, it takes only a first derivative information, but to overcome the steepest descent method convergence slow shortcomings, but also to avoid the Newton method needs to be stored Hesse and disadvantages of computing inverse matrix and the conjugate gradient method is not only one of the most useful methods to solve large linear equations, solution of large-scale nonlinear optimization is one of the most effective algorithm. In various optimization algorithm, conjugate gradient method is a very important one. The advantage is that a small amount of memory required, with step convergence, high stability, and does not require any external parameters.)

利用emd算法解决经验模式分解的一些存在的端点效应问题。 有效的解决了问题。(Using emd algorithm to solve some of the empirical mode decomposition end effects exist. Effective solution to the problem.)

计算电磁学有限元法全美经典教材，金建铭编著英文版(FEM computational electromagnetics American classic textbook, Jin Jianming edited English)

圆柱绕流边界元程序 用边界元的方法计算圆柱绕流(flow around colomn )

3DFFT,对三维数据进行傅立叶变换，效果较好.可以用于三维的地震资料处理(3DFFT, three-dimensional Fourier transform of the data, the better can be used for three-dimensional seismic data processing)