// m.cpp : implementation file // #include "stdafx.h" #include "教职工管理系统.h" #include "m.h" #ifdef _DEBUG #define new DEBUG_NEW #undef THIS_FILE static char THIS_FILE[] = __FILE__; #endif
http://www.codebf.com/read/120754/14790235
M(1) Minix Programmer's Manual M(1) NAME M, U - conveniently mount and unmount SYNOPSIS M device [-r] U device OPTIONS
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function yy=model(beta0,X) a=beta0(1); b=beta0(2); c=beta0(3); d=beta0(4); e=beta0(5); f=beta0(6); x1=X(:,1); x2=X
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x1=[7 1 11 11 7 11 3 1 2 21 1 11 10]'; x2=[26 29 56 31 52 55 71 31 54 47 40 66 68]'; y=[78.5 74.3 104.3 87.6 95.9 109.2 102.7 72.5 93.1 115.9 83.8 113.3 109.4]'; X=[ones(13,1) x1 x2]; b=regre
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x=[143 145 146 147 149 150 153 154 155 156 157 158 159 160 162 164]'; X=[ones(16,1) x]; Y=[88 85 88 91 92 93 93 95 96 98 97 96 98 99 100 102]'; [b,bint,r,rint,stats]=regress(Y,X); rcoplot(r,rint
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x=2:16; y=[6.42 8.20 9.58 9.5 9.7 10 9.93 9.99 10.49 10.59 10.60 10.80 10.60 10.90 10.76]; beta0=[8 2]'; [beta,r,J]=nlinfit(x',y','volum',beta0); [YY,delta]=nlpredci('volum',x',
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t=1/30:1/30:14/30; s=[11.86 15.67 20.60 26.69 33.71 41.93 51.13 61.49 72.90 85.44 99.08 113.77 129.54 146.48]; [p,S]=polyfit(t,s,2)
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function yhat=volum(beta,x) yhat=beta(1)*exp(beta(2)./x);
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t=1/30:1/30:14/30; s=[11.86 15.67 20.60 26.69 33.71 41.93 51.13 61.49 72.90 85.44 99.08 113.77 129.54 146.48]; T=[ones(14,1) t' (t.^2)']; [b,bint,r,rint,stats]=regress(s',T); b,stats
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X=[598.00 349.00 461.00 57482.00 20729.00 44.00 586.00 455.00 475.00 58796.00 21364.00 89.00 707.00 520.00 491.00 60266.00 21832.00 97.00 737.00 558.00 529.00
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