spiderfun

This program places dates on time axis as DATETICK and works with ZOOM and PAN as DATETICKZOOM by Christophe Lauwerys. But, it also shows the full date after zooming or panning by using the ticks and time-axis label. So, if you zoom in down to second, you won t loose "when" you are. The input arguments are equal to those of DATETICK function, but if more than one axis handle is specified, they all will be LINKED! Also, some other options are available, for example, the use of LOCAL LANGUAGE for the months (default), or the use of an specific date format: DD HH:MM SS.FFF for example. Besides, sometimes with DATETICK you don t get optimal results. This program (try to) fix this problem. Just use it after some plot function with days (see DATENUM) in one of his axis (time-axis): t = linspace(0,1) + now x = rand(size(t)) plot(t,x) axis tight tlabel <---- Enjoy it! Bugs reports and suggestions will be very appreciated! (This program places dates on time axis as DATETICK and works with ZOOM and PAN as DATETICKZOOM by Christophe Lauwerys. But, it also shows the full date after zooming or panning by using the ticks and time-axis label. So, if you zoom in down to second, you won t loose "when" you are. The input arguments are equal to those of DATETICK function, but if more than one axis handle is specified, they all will be LINKED! Also, some other options are available, for example, the use of LOCAL LANGUAGE for the months (default), or the use of an specific date format: DD HH:MM SS.FFF for example. Besides, sometimes with DATETICK you don t get optimal results. This program (try to) fix this problem. Just use it after some plot function with days (see DATENUM) in one of his axis (time-axis): t = linspace(0,1)+ now x = rand(size(t)) plot(t,x) axis tight tlabel <---- Enjoy it! Bugs reports and suggestions will be very appreciated! )

加窗快速傅里叶变化 比常规算法精度高 (Windowed fast Fourier transform algorithm for high accuracy than conventional)

gilbert strang Computational Science and Engineering

PID控制算法的MATLAB仿真其中参数,Kp,Ki,Kd分别为PID控制器的比例、微分和积分参数。(PID control algorithm of the MATLAB simulation in which the parameters, Kp, Ki, Kd are the proportion of PID controller, differential and integral parameters.)

说明：  matlab一般不能解整数规划，现提供一个matlab编写的解整数规划的函数。(matlab solutions of integer programming in general should not now prepared to provide a solution matlab a function of integer programming.)

Empirical Mode Decomposition.rar Empirical Mode Decomposition.rar Empirical Mode Decomposition.rar (Empirical Mode Decomposition.rarEmpiri cal Mode Jan Decomposition.rarEmpirical omposition.rarEmpirical Mode Decomposition . rarEmpirical Mode Decomposition.rarEmpiri cal Mode Decomposition.rar)

帝王蝶优化算法,一种新的元启发式优化算法！(In nature, the eastern North American monarch population is known for its southward migration during the late summer/autumn the northern United States and southern Canada to Mexico, covering thousands of miles. By simplifying and idealizing the migration of monarch butterflies, a new kind of nature-inspired metaheuristic algorithm, called Monarch Butterfly Optimization (MBO), a first of its kind, is proposed in this paper. In MBO, all the monarch butterfly individuals are located in two distinct lands viz. Southern Canada & northern United States (Land 1) and Mexico (Land 2). Accordingly, the positions of the monarch butterflies are updated in two ways. Firstly, the offsprings are generated (position updating) by migration operator, which can be adjusted by the migration ratio. It is followed by tuning the positions for other butterflies by means of butterfly adjusting operator. In order to keep the population unchanged and minimize fitness uations, the sum of the newly-generated but)

利用蚂蚁算法求解最短路径问题，稍作修改既可以用于移动机器人路径规划当中。(Ants use the shortest path algorithm to solve the problem, with some slight modifications can be used in mobile robot path planning among them.)

运用用MATLAB编程的小型计算器，能够运行简单的加减乘除等运算(Use with MATLAB programming small calculator, able to run, such as simple addition and subtraction, multiplication and division operations)

首先定义一个高斯白噪声，然后在正弦信号中添加白噪声，再对带噪声的正弦信号进行平均值滤波(First, a Gauss white noise is defined, then the white noise is added to the sinusoidal signal, and then the average filtering of the sinusoidal signal with noise is filtered)