数模实验题Answer

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第一题0510********20040060080010001200>> fplot(inline('1100*exp(-0.1386*x)'),[0,30]) >> hold on;>> fplot(inline('6600*(exp(-0.1155*x)-exp(-0.1386*x))'),[0,30])[x,y]=solve('y=1100*exp(-0.1386*x)','y=6600*(exp(-0.1155*x)-exp(-0.1386*x))') x =6.6731896029116149044534798728345 y =436.22640226436263801647272819998 第二题max =24*x1+16*x2+44*x3+32*x4-3*x5-3*x6; 4*x1+3*x2+4*x5+3*x6<=600; 4*x1+2*x2+6*x5+4*x6<=480; x1+x5<=100; x3-0.8*x5=0; x4-0.75*x6=0;A=[4 3 0 0 4 6 linprog (f,a,b,a1,b1,xstart,xend) 4 2 0 0 6 4 1 0 0 0 1 0 0 0 1 0 -0.8 0 0 0 0 1 0 -0.75] b=[600 480 100 0 0]f=[24 16 44 32 -3 -3] x=[0 0 0 0 0 0] linprog(f,A,b,[],[],x,[])第三题max=63*x1+76*x2+71*x3+50*x4+63*x5+85*x6+77*x7+39*x8+92*x9+89*x10+ 74*x11;x1+x2+x3+x4+x5+x6+x7+x8+x9+x10+x11=2;x1+x2<1;x1+x3+x4+x6<1;x2+x3+x5<1;x4+x5+x7+x8+x9<1;x6+x7+x11<1;x8+x10+x11<1;x9+x10<1;@bin(x1);@bin(x2);@bin(x3);@bin(x4);@bin(x5);@bin(x6);@bin(x7);@b in(x8);@bin(x9);@bin(x10);@bin(x11);[1 1 1 1 1 1 1 1 1 1 1;1 1 0 0 0 0 0 0 0 0 0;1 0 1 1 1 0 0 0 0 0 0;0 1 1 0 0 1 0 0 0 0 0;0 0 0 0 1 1 1 1 1 0 0;0 0 0 0 1 1 1 1 1 1 0;0 0 0 1 0 0 1 0 0 1 0;0 0 0 0 0 0 0 1 0 1 1;0 0 0 0 0 0 0 0 1 0 1];f=[63 76 71 85 50 63 77 39 92 74 89]; b=[2; 1 ;1 ;1 ;1; 1 ;1; 1;1];x=bintprog(f,a,b)第四题min =100*x1+100*x2+40*y1+40*y2+40*y3+40*y4+40*y5;x1+x2+y1>4;x1+x2+y1+y2>3;x1+x2+y1+y2+y3>4;x2+y1+y2+y3+y4>6;x1+y2+y3+y4+y5>5;x1+x2+y3+y4+y5>6;x1+x2+y4+y5>8;x1+x2+y5>8;y1+y2+y3+y4+y5<3;@gin(x1);@gin(x2);@gin(y1);@gin(y2);@gin(y3);@gin(y4);@gin(y5);F=-[100,100,40,40,40,40,40]A=-[1,1,1,0,0,0,0;1,1,1,1,1,0,0;0,1,1,1,1,1,0;1,1,0,0,1,1,1;1,0,0,0,1,1,1;1,1,0,0,1,1,1;1,1,0,0,0,1,1;1,1,0,0,0,0,1]B=-[100,100,40,40,40,40,40][x,f]=Intlp(F,A,B)第五题model:title cutting-stock problem;sets:needs/1..4/:length,num;cuts/1..3/:x;patterns(needs,cuts):r;endsetsdata:length=4 5 6 8;num=50 10 20 15;capacity=19;enddatamin=@sum(cuts(i):x(i));@for(needs(i):@sum(cuts(j):x(j)*r(i,j))>num(i));@for(cuts(j):@sum(needs(i):length(i)*r(i,j))<capacity);@for(cuts(j):@sum(needs(i):length(i)*r(i,j))>capacity-@min(needs: length));@sum(cuts:x)>26;@sum(cuts:x)<31;@for(cuts(i)|i#lt#@size(cuts):x(i)>x(i+1));@for(cuts:@gin(x););@for(patterns:@gin(r););end第六题function y=ill(t,x)a=1.5;b=0.5;y=[a*x(1)*x(2)-b*x(1),-a*x(1)*x(2)]';ts=0:50;x0=[0.02,0.98];[t,x]=ode45('ill',ts,x0);[t,x]plot(t,x(:,1),t,x(:,2)),grid,pauseplot(x(:,2),x(:,1)),grid,ans =0 0.0200 0.98001.0000 0.0512 0.93212.0000 0.1171 0.82583.0000 0.2159 0.64454.0000 0.2939 0.43675.0000 0.3018 0.27656.0000 0.2553 0.18277.0000 0.1950 0.13058.0000 0.1406 0.10139.0000 0.0980 0.084910.0000 0.0669 0.075111.0000 0.0452 0.069112.0000 0.0303 0.065413.0000 0.0202 0.062914.0000 0.0135 0.061415.0000 0.0090 0.060416.0000 0.0059 0.059717.0000 0.0039 0.059318.0000 0.0026 0.059019.0000 0.0017 0.058820.0000 0.0011 0.058721.0000 0.0008 0.058622.0000 0.0005 0.058623.0000 0.0003 0.058524.0000 0.0002 0.058525.0000 0.0001 0.058526.0000 0.0001 0.058527.0000 0.0001 0.058528.0000 0.0000 0.058529.0000 0.0000 0.058530.0000 0.0000 0.058531.0000 0.0000 0.058532.0000 0.0000 0.058433.0000 0.0000 0.058434.0000 0.0000 0.058435.0000 0.0000 0.058436.0000 0.0000 0.058437.0000 0.0000 0.058438.0000 0.0000 0.058439.0000 0.0000 0.058440.0000 0.0000 0.058441.0000 0.0000 0.058442.0000 0.0000 0.058443.0000 0.0000 0.058444.0000 0.0000 0.058445.0000 0.0000 0.058446.0000 0.0000 0.058447.0000 0.0000 0.058448.0000 0.0000 0.058449.0000 0.0000 0.058450.0000 0.0000 0.0584第七题x = lsqcurvefit(fun,x0,xdata,ydata)clear;t=0:1:44;x=[8.2992 8.5229 8.7177 8.9211 9.0859 9.242 9.3717 9.4974 9.62599.7542 9.8705 10.0072 10.1654 10.3008 10.4357 10.5851 10.7507 10.9311.1026 11.2704 11.4333 11.5823 11.7171 11.8517 11.985 12.1121 12.238912.3626 12.4761 12.5786 12.6743 12.7627 12.8453 12.9227 12.9988 13.075613.1448 13.2129 13.2802 13.345 13.4091 13.4735 13.5404 13.6072 13.6782];fun=@(c,t)c(3)./(1+(c(3)/c(1)-1)*exp(-c(2)*t)) ; c(1)=x(1);c(2)=mean(diff(x)./x(1:end-1));c(3)=2; c=lsqcurvefit(fun,c,t,x)c =8.3067 0.0451 15.3340tt=0:0.1:49;xx2=fun(c,tt);xx2(351:10:361)plot(tt+1970,xx2,'r');hold off;title('logistic阻滞增长模型-中国人口')ans =13.0577 13.1438xx3=fun(c,47)13.9219t=48 13.9787t=49 14.0334第八题clear>> b1=0;b2=4;b3=3;s1=0.5;s2=0.25;>> L=[b1,b2,b3;s1 0 0;0 s2 0]L =0 4.0000 3.00000.5000 0 00 0.2500 0x0=[1000;1000;1000];>> x15=(L)^3*x0>> x25=(L)^5*x0>> x150=(L)^30*x0>> x250=(L)^50*x0x15 =143751375875x25 =1.0e+04 *2.97810.40630.1797x150 =1.0e+08 *5.38101.84290.2977x250 =1.0e+12 *1.81070.60460.1006[V,D]=eig(L)V =0.9474 -0.9320 0.22590.3158 0.3560 -0.59140.0526 -0.0680 0.7741D =1.5000 0 00 -1.3090 00 0 -0.1910d1=1.500;xm=[1;s1/d1;s1*s2/d1^2]xm =1.00000.33330.0556L*xmans =1.50000.50000.0833d1*xmans =1.50000.50000.0833第九题m=300;sum=0;n=300;a=0.6;p=0.05;q=1-p;b=0.2; for k=0:(m-n-1);c=nchoosek(m,k)pk=c*p.^k*q.^(m-k);sum=sum+(m-k-n)*pkendJm1=(q*m-(1+b)*sum)/(a*n)-1第十第十题采用SPSS线形回归模型Model UnstandardizedCoefficientsStandardizedCoefficientst Significance95% Confidence Interval for B B Std. Error Beta Lower Bound Upper Bound1 (Constant) 49.074 5.518 8.893 .000 37.563 60.584剂量-4.137 .541 -.846 -7.646 .000 -5.266 -3.009 性别 5.667 3.155 .199 1.796 .088 -.915 12.248 血压-1.500 7.728 -.021 -.194 .848 -17.621 14.621a Dependent Variable: 时间第十一题1\Coefficients(a)Model UnstandardizedCoefficientsStandardizedCoefficientst Significance B Std. Error Beta1 (Constant) -2.186 .057 -38.202 .000折扣比例.109 .003 .999 34.471 .000 a Dependent Variable: LOGIC12\>> y=[0.160;0.255;0.350;0.515;0.740];>> a=[5;10;15;20;30];>> x=[ones(size(a)),a];b=glmfit(x,y,'binomial','logit')b =-2.18550.1087最后答案为16.71%第十二题>>clear>>x=[1 2 5 7 9 3]';>>y=[768754]';>>B=-(x.^2+y.^2);>>A=[x,y,o n e s(6,1)];>>X=A\B;>>a=-1/2*X(1)>>b=-1/2*X(2)>>r=s q r t(-X(3)+1/4*(X(1)^2+X(2)^2))。