文件名称:stochastic_processes
- 所属分类:
- 数学计算/工程计算
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2013-06-16
- 文件大小:
- 26kb
- 下载次数:
- 0次
- 提 供 者:
- Raymo******
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
介绍说明--下载内容均来自于网络,请自行研究使用
an_introduction_to_stochastic_processes书中的源代码,对学习随机过程很有帮助-an_introduction_to_stochastic_processes the book' s source code, to learn helpful stochastic processes
(系统自动生成,下载前可以参看下载内容)
下载文件列表
an_introduction_to_stochastic_processes\binomial.m
.......................................\c3_mt_f.m
.......................................\c3_wibo1.m
.......................................\c4_cpos.m
.......................................\c4_pos.m
.......................................\e129pgf.m
.......................................\e135.m
.......................................\e2311.m
.......................................\e2311b.m
.......................................\e2311d.m
.......................................\e236.m
.......................................\e239a.m
.......................................\e239b.m
.......................................\e331.m
.......................................\e332b.m
.......................................\e332c.m
.......................................\e332d.m
.......................................\e332e.m
.......................................\e332f.m
.......................................\e332g.m
.......................................\e411_dat.m
.......................................\e413_dat.m
.......................................\e422_dat.m
.......................................\e426_dat.m
.......................................\e435.m
.......................................\e441_dat.m
.......................................\e441_run.m
.......................................\e443.m
.......................................\e446.m
.......................................\e451_run.m
.......................................\e522.m
.......................................\e523.m
.......................................\e541.m
.......................................\e571.m
.......................................\e573.m
.......................................\e589.m
.......................................\e621.m
.......................................\e631.m
.......................................\e632.m
.......................................\e633.m
.......................................\e645_a.m
.......................................\e645_b.m
.......................................\e645_c.m
.......................................\e649.m
.......................................\e649_a.m
.......................................\e649_b.m
.......................................\e711.m
.......................................\e712.m
.......................................\e713.m
.......................................\e721.m
.......................................\e721a.m
.......................................\e721b.m
.......................................\e722.m
.......................................\e724a.m
.......................................\e724b.m
.......................................\e724c.m
.......................................\e739.m
.......................................\fpss_pro.m
.......................................\gph1_sra.m
.......................................\invt_lap.m
.......................................\invt_laq.m
.......................................\invt_pgf.m
.......................................\mc_canon.m
.......................................\mc_canop.m
.......................................\mc_equca.m
.......................................\mc_gcd.m
.......................................\mc_limsr.m
.......................................\mc_perdo.m
.......................................\phaseak.m
.......................................\phasemv.m
.......................................\readme.txt
an_introduction_to_stochastic_processes