lagrange

有限元法计算程序，运用三角单元，进行线性插值，处理平面问题。(finite element method)

经典非线性动力学模型，布鲁塞尔子模型，可直接运行，运算效率高。(nonlinear dynamics Brusselator model)

计算声子晶体固-液和固-气体系，和实验测试吻合，很适应(Suitable for computing phononic crystal solid-liquid and solid and gas, and experimental agreement )

二维粘弹性介质中波的传播的解析形式。应用Carcione等在1988年发表的《WAVE PROPAGATION SIMULATION IN A LINEAR VISCOELASTIC MEDIUM》一文中的方法，更加详细的介绍见英文描述。该代码对于做波场模拟的同学有很好的参考价值。( MATLABScript for obtaning the analytical solution for 2D wave propagation in a viscoelastic medium, based on the Appendix B of paper of Carcione et al. (1988)(1), corrected in (2). The source used is a Ricker wavelet in the y velocity component. A figure of the source temporal function and its inverse Fourier transform are provided to verify the good working of the method. Also works for elastic variables by substituting the values of vp and vs by real constant ones (vp_0 & vs_0). Attenuation is implemented by GMB-EK rheology presented in (4) and thoroughfully explained in (3). In order to make a proper comparison with numerical data it is recommended to either use the same rheology in both the numerical and the analytical. It is also possible to get an almost constant Q value by increasing a lot the number of mechanisms used in both the numerical and the analytical solutions, thus minimizing the effects of the Q fitting in the comparison.)

实现多项式样条利率期限结构参数求解，方面做国债研究人员借鉴(Polynomial spline interest rate term structure parameters for solving aspects of the bond researchers draw)

Introduction to Estimation and the Kalman Filter (KC-1) Extended Kalman Filter Navigation System Example

求实对称矩阵的特征值特征向量，内有读入数据文件。(Realistic symmetric matrix eigenvalue eigenvector, there are read into the data file.)

该程序用于瞬变电磁勘探近区场计算，只要输入不同参数便可以得到近区场的视电阻率(The procedure transient electromagnetic exploration for near field calculations, as long as the input parameters can be different near field apparent resistivity)

基于MATLAB，利用牛顿迭代法，求解复杂非线性方程组(Solving nonlinear equations by Newton iteration)

模糊最小二乘支持向量机，用于剔除偏离较远的数据点，减小野值的影响(Fuzzy least squares support vector machine for the deviation from the data points far removed, to reduce the impact of outliers)