riemann solver

说明：  共轭梯度法求解线性方程组,主要采用FR共轭梯度法(solve liner solutions from CG)

基于现代时间序列分析方法的多传感器观测融合Kalman滤波器与Wiener滤波器.NH格式论文。(time seq analysis with kalman and winner filter.)

利用有限元理论，求一二维梁的固有频率和振型。短边固定，给定长度、横截面积，弹性模量及材料密度已知。并对比理论计算结果进行分析。各参数自己设定。(Using finite element theory, seeking a two-dimensional beam natural frequencies and modes. The short side is fixed, given the length, cross-sectional area, modulus of elasticity and density of the material is known. And compare the theoretical calculation results were analyzed. Each parameter set.)

此为众多Python小案例，可以做学习用。(This is a small case of Python.)

用于在数值分析中，对于离散点进行拉格朗日差值拟合(Lagrangian difference fitting)

非圆形离散元程序，通过采用非圆形颗粒实现康转动性能(Non-circular discrete element program, through the use of non-spherical particles achieve Kang rotation capability)

《数字信号处理》一书讨论的内容，主要是离散时间信号的博氏变换和数字滤旋器，本书在该书内容的基础上，介绍了不再属于傅盟叶变换家族的另一种重要的变换一一希尔伯特变换。( Digital Signal Processing to discuss the contents of the book, mainly discrete-time signals and digital transformation Borrelia spin filter, and the contents of this book in the book, based on the introduction of the AU is no longer a Fourier transform Fu family, another important Hilbert transform 11.)

随机共振的EMD去噪算法，在机械振动信号方面的应用(Stochastic resonance EMD denoising algorithm, in the application of mechanical vibration signals)

实现卡尔曼滤波算法，可以进行参数估计、插值、滤波和预报(The Kalman filter algorithm, parameter estimation, interpolation, filtering and prediction)

//给定整数n，产生所有[2n]上的匹配（matching） //将其视为一个所有块大小均为2的集合分拆 //以a_i表示其第i个元素所在的集合号 //输出格式为 a1 a2 a3 ... //满足 //a_{i+1} <= max { a1,a2,...a_i } + 1 (//a given integer n, have all [2n] on the matching (matching)// will be considered as an all pieces are two sets of a split// a_i said in its i elements of a collection of lies// output format for a1 a2 a3 ...// meet// a_ i (a))