Stiff_equations.pdf

基于matlab的约束非线性规划算法库，适于学习！(Matlab-based algorithm for the constrained nonlinear programming library, suitable for learning!)

针对功放得到非线性失真，采用查表法预失真对功放的非线性进行补偿，仿真表明了补偿方式的有效性。(Obtained for nonlinear distortion amplifier, using the look-up table predistortion to compensate for non-linear power amplifier, simulation shows the effectiveness of compensation.)

说明：  一维黎曼问题，一维问题，即激波管问题，是一个典型的一维可压缩无黏气体动力学问题，并有 解析解。对它采用二阶精度两步差分格式进行数值求解。(Riemann problem, One dimensional problem, the shock tube problem, is a typical one-dimensional compressible non viscous gas dynamic problem with analytic solutions. It is solved numerically by two order two step difference scheme.)

说明：  用FORTRAN语言实现二维欧拉方程的求解，采用二阶MUSCL迎风格式()

可是实现产生均匀分布的混沌序列，可以用于均匀分布的伪随机发生器(uniform distribution of the chaotic sequence)

最优化课程中的最速下降法matlab程序，利用了wolfe搜索和armijo线搜索(Matlab program of steepest descent method in optimization course, using Wolfe search and Armijo line search)

文件中包括了最优化中的最小费最大流程序以及例子和程序(File included in the most optimal maximum flow procedures and examples of trees and procedures)

滤波求和方式实现宽带波束形成，从先验概率中采样，计算权重，最小均方误差（MMSE）的算法。( Filtering summation way broadband beamforming, Sampling a priori probability, calculate the weight, Minimum mean square error (MMSE) 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.)

使用matlab进行分位数回归，类似于R语言中的quanterg包(Quantile regression using MATLAB)