kriging

说明：  简支梁-车辆模型，用于ansys建模和车桥耦合分析的初级阶段(Simply Supported Beam-Vehicle Model)

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,)

C-N解偏微分方程的程序。解的是定步长的抛物型偏微分方程： du/dx - a * d2u/dx2 = 0 在程序中可以更改 a 的值以实现不同系数的解。在循环中改变 a 的值以实现变系数. 该说明在压缩包是也有(CN solution of partial differential equations procedures. Solution is scheduled to step parabolic partial differential equation: du/dx- a* d2u/dx2 = 0 in the procedure can be changed in order to realize the value of a different coefficient of the solution. Change in the cycle in order to realize the value of a variable coefficient. The note in the compressed packet is also)

umat abaqus plasticity

地震偏移成像：二维叠后深度偏移（相移法）(Seismic imaging: two-dimensional stack depth migration (phase shift method))

克里金(Kriging)插值法又称空间自协方差最佳插值法，它是以南非矿业工程师D．G．Krige的名字命名的一种最优内插法。克里金法广泛地应用于地下水模拟、土壤制图等领域，是一种很有用的地质统计格网化方法。它首先考虑的是空间属性在空间位置上的变异分布．(Kringing smooth)

算法设计与分析之汉诺塔问题介绍与讲解 希望大家有时间看看 (Tower of Hanoi problem description and explanation of the design and analysis of algorithms hope that we have time to look at)

非结构网格有限体积法求解二维欧拉方程程序，区别于结构网格(The unstructured grid finite volume method to solve two-dimensional Euler equation )

该算法，先对协方差矩阵进行休整，然后用信息论的方法得出信号的源数，这是进行空间普估计的基础(The algorithm, first on the covariance matrix for a rest, and then used information theory methods to draw a number of signal sources, it is estimated that the basis of space S )

格子玻尔兹曼 圆柱绕流 Python编写(lattice boltzmann flow around a cylinder, using Python. very fast because of numpy library)