Maple

说明：  使用时间序列分析AR方法对油价进行分析，以及预测。采用BIC准则进行判阶，最小二乘法进行参数估计(AR time series analysis using the method of price analysis and forecasting. BIC criteria used sentence order, the least square method for parameter estimation)

用R做贝叶斯估计，估计随机微分方程中的参数(Bayesian estimation made by R, the parameter estimates stochastic differential equation)

ar谱估计，分别用了最小二乘法和yulewalker法。(ar spectrum estimation, least squares method were used and yulewalker law.)

The Fast Hartley Transform (FHT) implementation.

用于优化最小二乘支持向量机的Matlab程序代码，可直接实用。(Used to optimize the least squares support vector machine in Matlab code can be directly useful.)

说明：  abaqus fortran语言下的dload和vdload程序代码，以显示及隐式实现移动加载(Dload and vdload code in ABAQUS FORTRAN to display and implicitly implement mobile loading)

用ABAQUS及其子程序解决热冲压热力耦合问题(Subroutine with ABAQUS and hot stamping coupled thermal problem solving)

FDTD Solutions 是一款三维麦克斯韦方程求解软件，可以分析紫外、可见、红外至太赫兹和微波频率段电磁波与具有亚波长典型尺寸复杂结构的相互作用。 FDTD Solutions 使得设计师能够从容地面对光子设计复杂的挑战问题。快速原型制造和高精度仿真大大降低对费用高昂的原型试验的依赖，因而可以对设计概念进行快速评价，进而缩短产品研发周期，降低费用。 FDTD Solutions 可以帮助你成功应对各种复杂的应用，从基础光子学研究，到目前工业界领先应用领域如成像、照明、生物光子学、光伏、以及众多其他应用。(FDTD Solutions is a three-dimensional software for solving Maxwell' s equations, we can analyze the ultraviolet, visible, infrared and microwave to terahertz frequencies of electromagnetic waves having a typical size of subwavelength interaction of complex structures. FDTD Solutions allows designers to calmly face the complex photonic design challenges. Rapid prototyping and simulation precision greatly reduce dependence on costly prototype testing, which can quickly uate design concepts, and thus shorten the product development cycle and reduce costs. FDTD Solutions can help you successfully deal with a variety of complex applications, leading application areas such as imaging, lighting, biophotonics, photovoltaics, and many other applications basic photonics research, the current industry.)

SPH 源代码，用于科研计算，是光滑粒子流体动力学-一种无网格粒子法书后的源代码(SPH source code, for scientific computing, is a smoothed particle hydrodynamics -- a source code after a meshless particle method.)

对离散点进行多项式拟合，不同于传统多项式拟合高次出现病态，此程序可以拟合高阶多项式( ORTHOFIT Fit polynomial to data. YS = ORTHOFIT(X,Y,N) smooths/fits data Y(X) in a least-squares sense using a polynomial of degree N and returns the smoothed data YS.)