EMCP21511

改进的burgers模型，非常适合学习UMAT的同志们学习，来自廖公云老师的《ABAQUS有限元软件在道路工程中的应用》(Improved burgers model is ideal for learning UMAT comrades learn from Liao Gongyun teacher "ABAQUS finite element software road works)

流体力学SIMPLE算法（C语言编程实现）需自己设定边界条件(SIMPLE algorithm)

根据传热理论, 建立了大功率发光二极管的有限元模型. 选择了4 种键合材料( 高导热导电 银胶、纳米银焊膏, 大功率芯片键合胶、Sn70Pb30) , 4 种基板材料( Al2O3、A lN、A-l SiC、铜钼合金) . 采用ANSYS 有限元热分析软件进行了温度场仿真, 得到了大功率发光二极管封装材料的最优选 择. 研究了基板厚度、芯片输出功率及外接热沉时对发光二极管结温的影响.(Heat transfer theory, the finite element model of the high-power light-emitting diode. Choose four kinds of bonding material (high thermal conductive silver glue, nano-silver paste, high-power chip bonding glue Sn70Pb30) substrate material ( Al2O3, A lN, Al SiC, copper molybdenum alloy). temperature field simulation using ANSYS finite element thermal analysis software, the optimal choice of high-power light-emitting diode packaging materials. substrate thickness, chip output power and external heat Shen light-emitting diode junction temperature.)

说明：  Anderson计算流体力学第十章平板超声速流动例子源码(Anderson Chapter 10 supersonic flow example source code)

把 Maxwell 方程式在时间和空间领域上进行差分化。利用蛙跳式(Leap frog algorithm)--空间领域内的电场和磁场进行交替计算，通过时间领域上更新来模仿电磁场的变化，达到数值计算的目的。(The Maxwell equations in time and space on the field differencing. Using the leapfrog (Leap frog algorithm)- Space field for alternating electric and magnetic fields calculated by the time domain electromagnetic field is updated to mimic the changes to achieve the purpose of numerical calculation.)

说明：  matlab产生高斯白噪与阈值信号处理（heursure、rigrsure、sqtwolog、minimaxi阈值信号处理等）(Gaussian white noise generated by MATLAB and threshold signal processing)

地震记录的数据，可以用来绘制地震记录，也可以作为地震反演的数据(Seismic wave inverse time migration program can realize the inversion of seismic wave)

book on markov models and techniques

说明：  ADAM （Adaptive Moment Estimation）是另外一种自适应学习率算法，它结合动量梯度 下降法，在不同参数方向上采用不同学习率，保留前几次迭代的梯度，能够很好 的适应于稀疏数据。(ADAM (Adaptive Moment Estimation) is another adaptive learning rate algorithm, which combines momentum gradient. The descent method, which uses different learning rates in different parameter directions and retains the gradients of previous iterations, is very good. It is suitable for sparse data.)

非线性迭代偏最小二乘的MATLAB代码,可用于光谱数据的建模(MATLAB code of NIPLS)