dcccccc

全面介绍有限元网格生成算法的英文教材，可以作为网格生成算法的编程资料(finite element mesh generation has not been taken as a formal subject of teaching in universities,as it encompasses several disciplines including classical geometry, computational geometry and topology, finite element method, data structures and algorithms, computer programming and, to a certain extent, even computer graphics.)

非线性微分方程的人工免疫网络数学模型，适合于高水平研究者(Nonlinear differential equation mathematical model of artificial immune network, suitable for high-level researchers)

用Roe格式求解黎曼激波管问题的Fortran源代码。可以通过MUSCL插值来提高求解精度。适合计算流体力学的初学者参考学习。(Riemann shock tube problem with Roe scheme. You cam improve the accuracy by MUSCL interpolation. This code is suitable for CFD beginners.)

说明：  用LINGO求解最短路径问题，此方法为0-1规划，只适用于简单的ILP问题。(Lingo is used to solve the shortest path problem, which is a 0-1 programming method. It is only suitable for simple ILP problems.)

该损伤模型通过 商用有限元软件ABAQUS /Explicit 的用户子程序VUMAT 实现，并使用该模型对碳纤维增强环氧树脂 复合材料层合板在横向低速冲击作用下的损伤和变形行为进行预测分析． 数值仿真的结果与试验结 果进行了比较，吻合良好，验证了该模型的有效性．(Through coding user subroutine VUMAT of finite element software ABAQUS /explicit， and applied the model to an example，carbon fiber reinforced epoxy composite laminates under low velocity impact，the prediction for damage and deformation were good agreement with the experimental results．)

计算风力机的转换功率的算例 根据流体力学激盘素理论推出 最大转换功率不可能超过0.47(cofficience of power change from wind energy to eletricity energy.)

说明：  计算潜在蒸发，方法为彭曼法，需要气温、日照、风速等资料，具体详见程序界面(Pe calculation)

信号提取，fft变换，模态分析，互相关分析(fft)

使用Matlab编程，对教材74页例3.3.1进行编程仿真。其中，正电压A的值、噪声方差值、每个码元周期内的采样点数N自行设定（可设置为可调的变量）。噪声值可使用Matlab中产生高斯随机数的函数来进行仿真。贝叶斯检测判决式中，先验概率P(H1)=P(H0)，判断错误的代价因子设为1，判断正确的代价因子设为0. 按照上述参数的设定进行仿真，实现对仿真数据的贝叶斯检测判决；循环生成仿真数据，并进行判决结果的统计，即记录判决正确的次数，估计正确判决的概率。(The use of Matlab programming, teaching materials 74 pages of 3.3.1 programming simulation. Among them, the value of positive voltage A, the variance of noise, the number of sampling points in each symbol cycle (N) can be set by itself (adjustable variable). Noise values can be simulated using the function of generating Gauss random numbers in Matlab. In the Bias detection decision, the prior probability P (H1) =P (H0), the factor of error judgment is set to 1, and the correct cost factor is set to 0. According to the simulation parameters and realize the judgment of Bayesian detection simulation data; generating cycle simulation data, statistics and decision, which records the correct number of judgment, the estimated probability of correct decision.)

matlab程序—用burg方法计算太阳黑子爆发的周期(the matlab program-the frequency of the sunspot by the method of burg)