GA-PSO算法 2.0版本

Histogram of PPM image file

根据BS公式，通过Mente Carlo模拟对欧式期权进行定价的源码。即使不是做期权定价的，该源码也是一个非常好的理解如何做Mente Carlo模拟的实例。(Based on the Black-Scholes formula, codes for pricing the European options through the Mente Carlo simulation. It is a very good example for your understanding of how to do Mente Carlo simulation, even if you do not engage in the option pricing.)

prony numerical method

说明：  xiaochengxusmall case,may be useful for all of you (small case,may be useful for all of you )

24V到10VDC-DC变换器，PI控制仿真模型(24V to 10VDC-DC converter, PI control simulation model)

matlab命令大全必看matlab命令大全必看(matlab command matlab command Daquan Daquan must-see must-see)

关于合成孔径雷达聚束成像模式的一个仿真程序，效果比较理想(a code of matlab descre the spotlit imagnation of SAR)

GPS和INS组合导航程序，其中包括轨迹发生器、KALMAN滤波、模型建立、伪距伪距率组合方式进行仿真，可以对程序进行任意修改，有实验报告作为示例，可以作为导航专业的毕业设计参考例程使用。(Combination of GPS and INS navigation procedures, including trajectory generator, KALMAN filtering, modeling, pseudo-range pseudo-range rate of combination is simulated, the procedures can be freely modified, there are experimental report as an example, can serve as a navigation Graduation design reference routine use.)

使用说明 1、所有仿真算法按章归类，光盘中的程序名与书中一一对应。 2、将光盘中的仿真程序复制到硬盘MATLAB运行的路径中，便可仿真运行。 3、本书算法在MATLAB 5.3版下运行成功，并适用于其他版本。 4、程序chap1_11.mdl；chap3_2.mdl；chap3_5.mdl；chap6_2.mdl；chap6_4.mdl需要在Matlab6.5下运行，特此说明。 5、假如您对仿真程序有疑问，请及时通过 E-mail 与作者联系。 北京航空航天大学 刘金琨 E-mail 地址： ljk@dept3.buaa.edu.cn或ljk@buaa.edu.cn(Instructions for use, all the simulation algorithms classified by chapter, program name in the CD-ROM and book one-to-one correspondence. 2, the simulation program in the CD-ROM copied to the hard MATLAB running path simulation can be run. Book algorithms in MATLAB 5.3 running successfully, and applies to other versions. 4, the program chap1_11.mdl chap3_2.mdl chap3_5.mdl chap6_2.mdl chap6_4.mdl in Matlab6.5 run is noted. 5, if your simulation program have any questions, please timely contact the author via E-mail. Beijing University of Aeronautics and Astronautics of Liu Jinkun E-mail address: ljk@dept3.buaa.edu.cn or ljk@buaa.edu.cn)

关于multiview active learning的资料(Information on multiview active learning )