GOCEPARSER

说明：  对该模型参数辨识采用递推最小二乘法，即 RLS（ recurisive least square）， 它是一种能够对模型参数进行在线实时估计的辨识方法。(The recursive least square method is used to identify the parameters of the model, that is, rls (recurisive least square), which is an online real-time estimation method for the model parameters)

说明：  udf模拟油膜蒸发过程及其温度分布和各组分的浓度(Udf simulates oil film evaporation process and its temperature distribution and concentration of each component)

通信領域於天線上常運用的波束集成，以matlab寫成。能模擬不同距離造成的波束形狀之不同。也加入部份Dolph-Chebyshev最佳化方法。(A traditional beamformer that can simulate differnt distance from the origin, and some implementation using Dolph-Chebyshev amplitude distribution.)

《数值分析方法库_第三版 》本书选材内容丰富，包括了当代科学计算过程中涉及的大量内容：求特殊函数值、随机数、排序、最优化、快速傅里叶变换、谱分析、小波变换、统计描述和数据建模、偏微分议程数值解、若乾编码算法和任意精度计算等。本书科学性和实用性统一，不仅对每种算法进行了数学分析和比较，而且根据作者经验对算法给出了评论和建议，并在此基础上提供了用C++语言编写的实用程序。 (《Numerical Recipes 3rd Edition: The Art of Scientific Computing》, Do you want easy access to the latest methods in scientific computing? This greatly expanded third edition of Numerical Recipes has it, with wider coverage than ever before, many new, expanded and updated sections, and two completely new chapters. The executable C++ code, now printed in color for easy reading, adopts an object-oriented style particularly suited to scientific applications. Co-authored by four leading scientists from academia and industry, Numerical Recipes starts with basic mathematics and computer science and proceeds to complete, working routines. The whole book is presented in the informal, easy-to-read style that made earlier editions so popular. Highlights of the new material include: a new chapter on classification and inference, Gaussian mixture models, HMMs, hierarchical clustering, and SVMs a new chapter on computational geometry, covering KD trees, quad- and octrees, Delaunay triangulation, and)

a very easy .c file for calculating the products of ints

经典R-K法，通过它可以计算一些简单的常微分方程的数值解(Classical RK method, which can be calculated by simple numerical solution of ordinary differential equations)

说明：  计算流体力学基础中的二维欧拉方程求解程序，对流项离散采用JST格式，时间离散采用显示 Runge-Kutta法。(To calculate the two-dimensional Eula equation solver in the basis of fluid mechanics, the flow item discrete is in JST format and the time discrete is shown runge-Kutta method.)

％ 奇异值分解 (sigular value decomposition,SVD) 是另一种正交矩阵分解法；SVD是最可靠的分解法， ％ 但是它比QR 分解法要花上近十倍的计算时间。[U,S,V]=svd(A)，其中U和V代表二个相互正交矩阵， ％ 而S代表一对角矩阵。 和QR分解法相同者， 原矩阵A不必为正方矩阵。 ％ 使用SVD分解法的用途是解最小平方误差法和数据压缩。用svd分解法解线性方程组，在Quke2中就用这个来计算图形信息，性能相当的好。在计算线性方程组时，一些不能分解的矩阵或者严重病态矩阵的线性方程都能很好的得到解( Singular value decomposition (sigular value decomposition, SVD) is another orthogonal matrix decomposition method SVD decomposition is the most reliable method, but it takes more than QR decomposition near ten times the computing time. [U, S, V] = svd (A), in which U and V on behalf of two mutually orthogonal matrix, and the S on behalf of a diagonal matrix. And QR decomposition are the same, the original matrix A is no need for the square matrix. The use of SVD decomposition method are used as a solution of least squares error method and data compression. Using SVD decomposition solution of linear equations, in Quke2 on to use this information to calculate the graphics performance quite good. In the calculation of linear equations, some indecomposable matrix or serious pathological matrix of linear equations can be a very good solution)

利用ansys的命令流apdl对复合材料储氢瓶进行仿真设计，碳纤维铺层及其加载，最后分析其应力应变。(The composite hydrogen storage bottle was simulated and designed by using the command flow APDL of ANSYS, and the stress and strain of the carbon fiber layer were analyzed.)

包括最小二乘法、SVM、神经网络、1_k近邻法,合成孔径雷达（SAR)目标成像仿真，主要是基于mtlab的程序。( Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Synthetic Aperture Radar (SAR) imaging simulation target, Mainly based on the mtlab procedures.)