gaosi

It uses kalmanf(s) function to calculate GPS error variance.

用于结构在动力荷载作用下的时程分析,地震荷载，随即荷载均可，采用newmark方法(For structural time history analysis under dynamic loads, seismic loading, then the load can be, using the newmark method)

蕞优分组周游路线问题是一类物流智能调度问题，是众多的计算难度极大的组合爆炸问题之一。自从运输问题最早是由Hitchcock在1941年提出的[2][4]后，人们对这一类问题给予了极大的关注并进行了大量的研究，提出了有效解决问题的优化算法——单纯形法的变形[2]。但由于问题规模的扩大，纯数学方法在允许的时间和空间上都很难找到问题的最优解，于是人们开始转向寻找问题的近似最优解，遗传算法以其在求解最优化问题中的独特的自组织性、自适应性很快进入人们的视野。 经典的遗传算法对于求解多目标的NP完全性问题非常有效，但对于有多个限制条件的多目标最优化问题缺显得有点力不从心，很难得到稳定度较高、收敛较快的解。本文提出的双层遗传算法模型给这一类问题提供了一个很好的解决方法，虽然建模条件限制了描述的问题的通用性，有待推广，但它能有效利用问题的领域知识，提高了求解效率，保证了解的可行性和最优性，算法思想极具推广潜力，可在其它物流智能调度问题求解算法设计中借鉴。(The most optimal packet travel route problem is a kind of intelligent logistic scheduling problem is one of combinatorial calculation difficult problem many. Since the transportation problem was first proposed by Hitchcock in 1941 after the [2][4], the people of this class of problems given great attention and made a lot of research, the deformation of [2] optimization, simplex method algorithm is effective to solve the problem of. But due to the expansion of the scale of the problem, the pure mathematical methods in the allowed time and space are very difficult to find the optimal solution of the problem, so people begin to turn to the approximate optimal solution for the problem, genetic algorithm in solving optimization problems with its unique in the self-organizing, adaptive soon entered people s field of vision. Very effective classical genetic algorithm for solving multi-objective NP complete problems, but for the multi-objective optimization problem with multiple constraints. I)

本文详细描述了利用三元一参法客观评估学生学习状况，并用灰色理论对学生成绩走向进行预测，可行性极强。 欢迎广大算法爱好者对次评估系统进行改进，同时也希望从事教育行业并且对数学算法有一定了解的朋友们，可以将此模型应用于初中及高中学生。此模型获得东北三省数学建模联赛二等奖。算法使用Matlab实现，部分给出。 (This paper describes the use of objective assessment of the Act Three students in a learning situation, and using gray theory to predict the direction of student achievement, feasibility strong. Welcome fans of the sub-evaluation system algorithm to improve, but also want to engage in the education sector and have some understanding of mathematical algorithms friends, this model can be applied to middle and high school students. This model of mathematical modeling to obtain Northeast League Award. Algorithm using the Matlab implementation, part of the given.)

最速下降法与牛顿法-Steepest descent method and Newton s method(Steepest descent method and Newton' s method)

MATLAB经典案例系列视频,数据传递和多窗口编程(MATLAB classic case series video, data transfer and multi window programming)

说明：  design TCP/AQM router using robust control

rbfk均值聚类网络来做预测，过程很适合初学者懂的。很详细，很容易的！(RBFK mean clustering network to make the forecast, the process is very suitable for beginners understand. Very detailed, easy! )

最优化方法的有效集算法的matlab程序，附带拉格朗日函数的程序.(active set program and lagrange function for solving Quadratic Programming promblems.)

粒子群优化算法（PSO）是一种基于种群的随机优化技术，由Eberhart和Kennedy于1995年提出。粒子群算法模仿昆虫、兽群、鸟群和鱼群等的群集行为，这些群体按照一种合作的方式寻找食物，群体中的每个成员通过学习它自身的经验和其他成员的经验来不断改变其搜索模式。 (Particle swarm optimization algorithm (PSO) is a population based stochastic optimization technique, put forward by Eberhart and Kennedy in 1995. Particle swarm optimization (pso) algorithm on insects, herds, flocks and schools of fish swarm behavior, and these groups to find food in a cooperative way, each member of the group itself by learning experience and the experience of the other members to continuously change its search pattern.)