Easy-master-Matlab7

EFI Application Toolkit Version 1.10.14.62 (EFI Application Toolkit Version 1.10.14.62)

系统辨识中的限定记忆法，用于系统参数辨识(Limited memory in the system identification method for system parameter identification)

这是我们学Matlab的课件，通俗易懂，希望大家可以看看，非常有用！(This is our study of the Matlab software, user-friendly, I hope that we can see, very useful!)

说明：  电子工业出版社出版的《射频电路设计》，一个外国人写的，很经典的教材，这是同该书配套的光盘程序，对每一章的例题都用matlab实现。(Publishing House of Electronics Industry, )

2011年全国大学生数学建模竞赛A题程序(the answer for the first problem in 2011 MCM)

boost变换器平均化模型 matlab下的simulink仿真(average model of boost converter )

A gui simulation and animation of two or three masses connected by springs. Four cases: (1) two masses and three springs to two walls (2) two masses and two springs to one wall (3) three masses and four springs to two walls, or (4) three masses and three springs to one wall. These four cases are programmed in four separate .m and .fig files. The gui allows changes to the masses and spring constants, and presents the normal mode oscillations and a random linear combination of normal modes.

利用三角分解法这一算法，根据求得的电力系统节点导纳矩阵，求其相应的阻抗矩阵。本程序为IEEE经典算例009节点的程序，程序中附有解释性说明.稍加修改，可以适用于IEEE算例中任意节点。(Using the triangular decomposition algorithm, according to the obtained power system nodal admittance matrix, find the corresponding impedance matrix. The classic example is the program for the IEEE 009 node program, the program accompanied by an explanatory note. Slightly modified, can be applied to any node in the IEEE study.)

此程序是关于LM-BP算法的预测系统，能够利用图形界面的形式展示出预测的精度和误差( This program is on the LM-BP algorithm prediction system that can use a graphical interface to show the form of prediction accuracy and error)

说明：  桥大学的YANG 和拉曼工程大学的 DEB 模拟布谷鸟的寻窝产卵行为, 提出一种新的智能优化算法 —— 布谷鸟搜索算法( Cuckoo Search) [9]。这种算法主要 基于布谷鸟的巢寄生繁殖机理和莱维飞行( L† vy flights) 搜索原理两个方面, 目前, 利用布谷鸟搜索算法( CS)求解 优化问题的研究还处于起步阶段。(This demo program only implements a standard version of Cuckoo Search (CS), as the Levy flights and generation of new solutions may use slightly different methods. The pseudo code was given sequentially (select a cuckoo etc), but the implementation here uses Matlab s vector capability, which results in neater/better codes and shorter running time. )