curthr1

edem接触程序，用于计算各种模型的接触力(edem modle)

详细全面的蒙特卡洛PPT讲解以及MATLAB算例，帮助大家0基础快速掌握MC的精华所在。(Detailed and comprehensive Monte Carlo PPT to explain and MATLAB example, to help you basically grasp the essence of MC.)

说明：  多元线性回归的C++源码，在VC6.0上可直接运行！(Multiple Linear Regression C++ source code, can be directly run in VC6.0!)

根据给定的等距结点上的函数值与一阶导数值, 用埃尔米特等距插值公式计算指定插值点处的函数值。(According to the given equidistant nodes function value with a first derivative values, with equidistant interpolation Hermite interpolation formula specified function value at the point.)

湍流模型re计算流体力学软件udf 可以用于修改UDF文件(turbulence model FLUENT)

针对多径效应的影响，提出了一种基于矩阵束的MIMO 雷达低仰角快速估计方法。该方法同时考虑了发射多径信号和接收多径信号，采用单样本数信号矢量构造了一个前后向矩阵束，并利用两个酉矩阵对该矩阵束进行降维处理，最后采用广义特征值分解的总体最小二乘法来估计目标角度。算法不需要估计数据协方差矩阵，可在低 信噪比和单样本数情况下，有效地克服多径效应，实现同时多目标低仰角估计，相比最大似然算法，避免了谱峰搜索，计算量小。仿真结果验证了该算法的有效性。(To overcome the multipath effect, a fast algorithm for low elevation estimation for MIMO radar via matrix pencil is proposed. The signals both in transmit multipath and receive multipath are considered. Firstly, a forward-backward matrix pencil is formed based on the single-sampled vector. Secondly, the reduced-dimensional processing is applied to the matrix pencil via two unitary matrices. Finally, the generalized eigen-decomposition is employed to estimate the low elevation in multipath environments directly. Without the covariance matrix estimation, the proposed method can overcome multipath effect effectively in case of low SNR and estimate multi-target simultaneously. Compared with Maximum Likelihood (ML) method, it avoids spectrum peak searching and reduces the computational burden. Numerical results verify the effectiveness of this method)

欧拉法解微分方程方程组，对于变成基础薄弱的人，易于理解，相信会有用处(Euler method for solving differential equations, to become a person, the weak foundation is easy to understand, I believe there will be.)

In this section we introduce the idea of Galerkin approximations by considering a simple 1-d boundary value problem

超级好用的书，面试必备，包括常用的算法介绍，面试题目等等(Super easy to book, interview essential, including the commonly used algorithm is introduced, interview questions, etc.)

对数据进得自回归分析预测。并生成下一周期的预测值(Of data into the prediction derived from the regression analysis. And generate the next cycle of prediction value)