Arithmetic

PASCAL Visual Object Classes，视觉识别竞赛的程序，共有20大类视觉目标。用MATLAB代码写成。能生成precision/recall图。(PASCAL Visual Object Classes, Competition visual recognition procedures, a total of 20 major categories of the visual target. With code written in MATLAB. Able to generate precision/recall graph.)

贝叶斯滤波器设计的MATLAB程序，源码。(MATLAB Bayesian filter design process, the source code.)

此程序实现图像的算法处理等，其中包括处理中的各种经典图片，一定对大家有帮助。(This program implementing the image processing algorithms, including the handling of the various classic pictures, will certainly be helpful to everyone)

crazy climber method

说明：  近年来，基于启发式的多目标优化技术得到了很大的发展，研究表明该技术比经典方法更实用和高效。有代表性的多目标优化算法主要有NSGA、NSGA-II、SPEA、SPEA2、PAES和PESA等。粒子群优化(PSO)算法是一种模拟社会行为的、基于群体智能的进化技术，以其独特的搜索机理、出色的收敛性能、方便的计算机实现，在工程优化领域得到了广泛的应用，多目标PSO(MOPSO)算法应用到了不同的优化领域[9~11]，但存在计算复杂度高、通用性低、收敛性不好等缺点。 多目标粒子群（MOPSO）算法是由CarlosA. Coello Coello等在2004年提出来的(In recent years, heuristic-based multi-objective optimization technology has been greatly developed, and research shows that this technology is more practical and efficient than classical methods. Representative multi-objective optimization algorithms mainly include NSGA, NSGA-II, SPEA, SPEA2, PAES and PESA. Particle Swarm Optimization (PSO) algorithm is an evolutionary technology based on swarm intelligence that simulates social behavior. With its unique search mechanism, excellent convergence performance, and convenient computer implementation, it has been widely used in the field of engineering optimization. The objective PSO (MOPSO) algorithm is applied to different optimization fields [9~11], but it has shortcomings such as high computational complexity, low versatility, and poor convergence. The multi-objective particle swarm optimization (MOPSO) algorithm was proposed by Carlos A. Coello Coello et al. in 2004)

自己在数模中写的关于照相机标定的代码，跟大家分享(Write their own within a few modules of code on the camera calibration, to share with you)

我们地震处理相关的一些matlab程序，包括雷克子波，segy的读写，动校正这些(We are dealing with some of the earthquake procedures matlab procedures, including the mine sub-wave, segy read and write, dynamic correction of these)

简单的gui界面下的有关静定梁的受力分析(A simple gui interface on statically determinate beam Stress Analysis。)

lscv in matlab, bandwith selection

Wang mendel fuzzy model paper