登录
首页 » matlab » butterfly

butterfly

于 2011-05-07 发布 文件大小:1KB
0 157
下载积分: 1 下载次数: 8

代码说明:

  碟式期权定价的m文件,自己编的,希望可以用(M-disc option pricing documents, their series, hoping to use)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论


0 个回复

  • overlap_save
    Digital signal processing
    2010-09-01 22:49:17下载
    积分:1
  • paidui
    经典的排队论程序,包括一维和二维排队论模型(Classical queuing theory procedures, including the one-dimensional and two-dimensional model of queuing theory)
    2009-05-11 21:09:22下载
    积分:1
  • BSS_matlab
    盲信号分离的matlab程序,很好很实用,你值得拥有!(This program is made by Matlab 7.0.It is very good.you can prosess it )
    2009-12-14 13:37:09下载
    积分:1
  • encoding-decoding
    图像的编解码程序,可以直接运行,并含有PSNR的对比(The encoding and decoding files which can run without modify, and we have comparison of PSNR)
    2014-01-04 15:23:45下载
    积分:1
  • BER_16_QAM
    matlab绘制16QAM误码率曲线及星座图(MATLAB 16QAM BER)
    2012-05-10 22:37:35下载
    积分:1
  • FRFT-OFDM
    主要是FRFT_OFDM的一些论文资料。(it mainly is some papers FRFT_OFDM)
    2013-12-17 01:24:08下载
    积分:1
  • spwmnpc
    npc 3-level inverter spwm matlab
    2021-04-19 15:58:51下载
    积分:1
  • matlab-Bayesian-classifier
    matlab实现贝叶斯分类器,开发环境是Matlab,不过这里没有。(matlab realize the Bayesian classifier development environment Matlab, but this is no.)
    2013-03-09 15:52:31下载
    积分:1
  • Chapter-2
    power system analysis- load flow analysis ppt
    2013-10-21 13:43:06下载
    积分:1
  • 遗传算法
    说明:  遗传算法是计算数学中用于解决最佳化的搜索算法,是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的,这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题,一定数量的候选解(称为个体)的抽象表示(称为染色体)的种群向更好的解进化。传统上,解用二进制表示(即0和1的串),但也可以用其他表示方法。进化从完全随机个体的种群开始,之后一代一代发生。在每一代中,整个种群的适应度被评价,从当前种群中随机地选择多个个体(基于它们的适应度),通过自然选择和突变产生新的生命种群,该种群在算法的下一次迭代中成为当前种群。(Genetic algorithm (GA) is a search algorithm used to solve optimization in computational mathematics. It is one of evolutionary algorithms. Evolutionary algorithms were originally developed by borrowing phenomena in evolutionary biology, such as heredity, mutation, natural selection and hybridization. Genetic algorithms are usually implemented as a computer simulation. For an optimization problem, an abstract representation of a certain number of candidate solutions (called individuals) (called chromosomes) evolves towards a better solution. Traditionally, solutions are represented in binary (that is, strings of zeros and ones), but other representations are possible. Evolution begins with a population of completely random individuals, and it happens from generation to generation.)
    2020-06-07 21:42:11下载
    积分:1
  • 696518资源总数
  • 104755会员总数
  • 1今日下载