riemann solver

用于三点定位的算法，是做声音定位可用的，希望有部分帮助，可适当运用(It is used to location the point you want.)

数值分析实验1.明确插值多项式和分段插值多项式各自的优缺点； 编程实现拉格朗日插值算法，分析实验结果体会高次插值产生的龙格现象；(Experiments of numerical analysis 1. Define the advantages and disadvantages of interpolation polynomials and piecewise interpolation polynomials. The Lagrange interpolation algorithm is programmed, and the Runge phenomenon produced by high-order interpolation is analyzed.)

详细介绍了有限元法基础知识，对有限元入门者很有帮助(Details the basics of the finite element method, finite element beginners helpful)

自己写了一个二维Euler方程的间断有限元程序 上次发了一个三角形单元的程序 因为不是曲边单元 所以在圆柱后面容易形成涡 现在把程序改为曲边四边形单元了 没有涡出现 单元是8节点四边形单元 节点编号顺序是 1 5 2 6 3 7 4 8 也就是四个角点依次 是1 2 3 4 然后是边的中点编号 5 6 7 8. 时间推进采用 Runge-Kutta 方法 数值通量采用全局Lax-Friedrichs通量 仍然不能捕捉激波 因为没有做重构或者加人工粘性 等这个做出来了 再发一次。 程序没有进行优化 比如说内存的消耗没有优化 比如直边单元的边界积分仍然采 用了曲边的积分方法 增加了计算量 比如面积分、线积分都是采用的是Gauss- Legendre-Lobatto积分 积分精度会比一般的Gauss-Legendre积分精度低一阶 等 等问题。 二维的 纯属交流性质 就没有考虑这些问题 ^_^ 如果物面全部是直边 那么只要改变一个参数N 就可以获得不同的计算精度 且具 有谱精度 因为单元的节点是Gauss-Legendre-Lobatto积分点。 其实就是谱元法 （物面是曲边的情况我不清楚是不是也可以通过提高基函数的阶数 也就是增加N 来提高计算精度）(Wrote a two-dimensional Euler equations with discontinuous finite element program Last made ​ ​ a triangular element of the program, not curved edge unit is so easy to form a vortex in the cylinder behind the Program to curved edge quadrilateral element vortices appear Unit is the order of 8-node quadrilateral element node number is 15,263,748 which is the four corners of the points in turn Is 1234 and then the side of the midpoint of the number 5678. Time promote the use of Runge-Kutta method Numerical flux of the overall situation of Lax-Friedrichs, flux Still can not capture the shock wave did not do the reconstruction or artificial viscosity do it Zaifayici. The program is not optimized for example, memory consumption is not optimized such as straight-edge boundary integral of the unit is still mining Integral method to increase the amount of computation such as surface integral with a curved edge, the line integral using the Gauss- The Legendr)

根据当前运动模型，进行Kalman滤波。得到滤波优化后的运动轨迹(Kalman filtering is carried out according to the current motion model)

c++运算符程序编写运用，包括+，-，*，/，>>,<<(c++ operator programming use, including+,-,*, /, > > , < < )

多自由度轴承静刚度计算,求解速度较快。但只是静态下，不考虑离心力的作用(static stiffness calucate of bearing)

c++编写的小波包算法，可以实现小波包分解与重构，速度较快(A wavelet packet implementation written in C++, does wavepacket decomposition and reconstruction quite efficiently)

计算流体力学入门第九章代码 simple 算法(the code for the problem introduced in the book computational fluid dynamics chapter 9 simple algorithm)

本程序包括：DFT（离散傅里叶变换），FFT（快速傅里叶变换），IFFT（快速傅里叶逆变换），conv（卷积：圆周卷积、线性卷积），主要应用于信号处理，既可以对实序列做上述操作，也可以对复序列。(This process includes: DFT (Discrete Fourier Transform), FFT (fast Fourier transform), IFFT (inverse fast Fourier transform), conv (convolution: circular convolution, linear convolution), mainly used signal processing, either on the actual sequence to do the operation, can also be complex sequence.)