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kelley

于 2010-11-16 发布文件大小:24KB

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下载积分: 1 下载次数: 29

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代码说明：

预处理共轭梯度的方法,该方法有效，快速！！(preconditioned conjugate gradient（PCG）)

文件列表：

kelley
......\bicgstab.m,1822,1995-09-08
......\brsol.m,3978,1995-09-08
......\brsola.m,5854,1995-09-08
......\diffjac.m,433,1995-09-08
......\dirder.m,789,1995-09-08
......\fdcgstab.m,2206,1997-11-13
......\fdgmres.m,3438,1997-11-13
......\fdkrylov.m,2841,1995-09-08
......\fdtfqmr.m,2459,1995-09-08
......\fish2d.m,1594,1995-09-08
......\givapp.m,402,1997-11-13
......\gmres.m,2886,1997-11-13
......\gmresb.m,1997,1995-09-08
......\isintv.m,254,1995-09-08
......\nsol.m,3364,1995-09-08
......\nsola.m,6204,1997-11-13
......\nsolgm.m,3708,1995-09-08
......\parab3p.m,1270,1995-09-08
......\pcgsol.m,2150,1995-09-08
......\htm" target=_blank>README,1193,1995-09-08
......\sintv.m,246,1995-09-08
......\tfqmr.m,2193,1995-09-08

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= lorentzfit （× ） lorentzfit 符合输入（× ）与罗伦兹功能的形式 “ （× ）= 1 / （（- 2）^ 2 + 3号）输入：因变量值[ 是] （× ） × ：独立变量的值输出功率一：名单[ 1 2 3 ] 罗伦兹参数示例 × = - 16:0.1:35 = 19.4 / （（- 7）^ 2 + 15.8）+ randn （大小（× ）/ 10 ） = lorentzfit （× ）杰瑞德·威尔斯 11 / 15 / 11 杰瑞德威尔斯[ 点] [在] [ 点] 教育公爵(a = lorentzfit(y,x) LORENTZFIT fits the input Y(X) with a Lorentzian function of the form Y (X) = A1./((X- A2).^2+ A3) INPUTS Y : Dependent variable values [Y(X)] X : Independent variable values OUTPUT A : List of Lorentzian parameters [A1 A2 A3] EXAMPLE x =-16:0.1:35 y = 19.4./((x- 7).^2+ 15.8)+ randn(size(x))./10 a = lorentzfit(y,x) Jered R Wells 11/15/11 jered [dot] wells [at] duke [dot] edu)

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