mazar-model_umat

安德森的经典计算流体力学理论基础的学习用书。（英文版）(Anderson s classic theory of computational fluid dynamics-based learning book.)

先通过emd进行分解，然后求出边际谱，进行分析(First, the EMD is decomposed, and then the marginal spectrum is obtained)

有效集法利用数学规划的对偶理论,将所求双层规划转化为一个下层只有一个无约束凸二次子规划的双层规划问题.然后根据两个双层规划的最优解和最优目标值之间的关系,提出一种简单有效的算法来解决非增值型凸二次双层规划问题.(Quadratic Bilevel Programming 　)

完成采样空间的采样，适合于响应面，近似模型之前的采样工作，文件夹中有具体介绍(The sampling space is completed. It is suitable for the response surface and the sampling work before the approximation of the model. The folders are introduced in detail.)

based classification (SRC) has been widely used for face recognition (FR). SRC first codes a testing sample as a sparse linear combination of all the training samples, and then classifies the testing sample by evaluating which class leads to the minimum representation error. While the importance of sparsity is much emphasized in SRC and many related works, the use of collaborative representation (CR) in SRC is ignored by most literature.

说明：  摩擦力是抵抗固體表面，流體層和材料元件相對滑動的相對運動的力。有幾種類型的摩擦：幹摩擦是一種與之相反的力(friction is the force resisting the relative motion of solid surfaces, fluid layers, and material elements sliding against each other. There are several types of friction: Dry friction is a force that opposes the)

数值方法的5个重要的算法： 1.[Dirich.m] 求解拉普拉斯方程的狄利克雷方法. 用于偏微分方程的数值解 2.[Hamming.m] 汉明方法是用来修正微分方程的多步预测。 3. [Milne.m] 米尔恩 - 辛普森差分方程求解方法，用于预测校正方法。 4. [Rkf45.m]龙格 - 库塔 - 沃尔伯格错误控制和步骤的方法求解微分方程的近似解 5.[Romber.m]著名的龙贝格积分源代码。计算结果存在并显示为下三角矩阵。(Numerical Methods in five of the more important algorithms: 1. [Dirich.m] to solve the Laplace equation Dirichlet method for the numerical solution of partial differential equations 2.[Hamming.m] Hamming method is the multistep forecast corrected differential equations. 3. [Milne.m] the Milne- Simpson method as a differential equation solver used forecast correction method. 4. [Rkf45.m] Runge- Kutta- Wahlberg error control and step method for solving differential equations approximate solution 5. [Romber.m] the famous Romberg integral source code numerical integration, the presence of computable results show a lower triangular matrix.)

说明：  求解齿轮的热弹流润滑问题，本程序中说明了每个子程序的用途，而且带注释。(To solve the thermal elastohydrodynamic lubrication problem of gears, the purpose of each subroutine is explained in this program, and there are comments.)

LMS算法对线性色散信道的自适应均衡，并且信道的加性噪声为未知(the use of the LMS algorithm for adaptive equalization of a linear dispersive channel that produces (unknown) distortion)

这是利用FFT分析相位差的程序，具有一定的参考价值！(This is done using FFT analysis phase of the program, has a certain reference value!)