各位大虾帮忙看一下这个程序？
function x=GEPivshow(A,B,ptol)if nargin<3
ptol=50*eps;
end
=size(A);
if m~=n
error('A matrix needs to be square');
end
nB=n+1;
AB=;
fprintf('\nBegin forward elmination with Augmented system:\n');
disp(AB);
for i =1:n-1
=max(abs(AB(i,:)));
ip=p+i-1;
if ip~=i,
fprintf('\nSwap rows %d and %d');
AB(,:)=AB(,:);
end
pivot = AB(i,i);
if abs(pivot)<ptol
error('zero pivot encountered');
end
for k=i+1:n
AB(k,i:nB)=AB(k,i:nB)-(AB(k,i)/pivot)*AB(i,i:nB);
end
fprintf('\nAfter elimination in column %d with pivot = %f\n',i,pivot);
disp(AB);
end
x=zeros(n,1);
x(n)=AB(n,nB)/AB(n,n);
for i=n-1:-1:1
x(i)=(AB(i,nB)-AB(i,i+1:n)*x(i+1:n))/AB(i,i);
end 你让大家看什么，呵呵
程序有错还是运行结果不对
求助程序错误
求助程序错误我写了一段遗传算法的程序，程序中间要用龙阁库塔法解一个微分方程，方程的各个系数是上面遗传算法中计算出来的，而且要在整个遗传算法的执行过程中，每产生一代都要解一次这个微分方程，可是程序在执行过程中，在解微分方程处总是报错，请各位大虾帮帮忙忙看看究竟是哪的错误？谢谢程序在附件中，其中gyddj.m是m文件，lcl.txt是gyddj.m中用到的文件
[ 本帖最后由 无水1324 于 2009-5-17 14:43 编辑 ]
微分方程---程序错误
我写了一段遗传算法的程序，程序中间要用龙阁库塔法解一个微分方程，方程的各个系数是上面遗传算法中计算出来的，而且要在整个遗传算法的执行过程中，每产生一代都要解一次这个微分方程，可是程序在执行过程中，在接微分方程处总是报错，请各位大虾帮帮忙忙看看究竟是哪的错误？谢谢程序在附件中，其中gyddj.m是m文件，lcl.txt是gyddj.m中用到的文件
gyyddj.m
fidin=fopen('lcl.txt');
fidout=fopen('dmatlab.txt','w');
while ~feof(fidin)
tline=fgetl(fidin);
if double(tline(1))>=48&&double(tline(1))<=57
fprintf(fidout,'%s\n\n',tline);
continue
end
end
fclose(fidout);
d=importdata('dmatlab.txt');
Tt=d(:,1);
U=d(:,2);
P=d(:,3);
Q=d(:,4);
NIND=40;%定义个体数
MAXGEN=1000;%迭代代数
PRECI=34;%二进制位数
GGAP=0.9;%代沟
NVAR=4;%待辨识参数个数
N=249;
G=zeros(NIND,1);
B=zeros(NIND,1);
X=zeros(NIND,1);
TT=zeros(NIND,1);
Ps=zeros(NIND,1);
Qs=zeros(NIND,1);
E0=zeros(NIND,1);
C=zeros(NIND,1);
E=zeros(NIND,1);
FieldD=,);rep(,);rep(,)];
Chrom=crtbp(NIND,NVAR*PRECI);%初始种群
gen=0;%代计数器
trace=zeros(MAXGEN,2);%迭代性能追踪
y=bs2rv(Chrom,FieldD);
G=y(:,1);
B=y(:,2);
X=y(:,3);
TT=y(:,4);
for i=1:NIND
Ps(i,1)=(U(1).^2)*G(i);
Qs(i,1)=(U(1).^2)*B(i);
end
Pd=P(1)-Ps;
Qd=Q(1)-Qs;
for i=1:NIND
E0(i)=((Pd(i).^2+(Qd(i)-U(1)*U(1)/X(i)).^2).^0.5)*X(i)/U(1);
C(i)=E0(i)/((U(1)*U(1)-(Pd(i)*X(i)/E0(i)).^2).^0.5);
end
function gyddj
t0=;
for i=1:NIND,
y0(i)=E0(i);
a=TT(i);
b=C(i);
c=U(1);
d=Pd(i);
e=X(i);
=ode45(@(t,x)myfun(t,x,a,b,c,d,e),t0,y0);
end
function y=myfun(t,x,a,b,c,d,e)
y=';
lcl.txt
t U P Q
0.025000,0.963928,1.0000000,0.6765180
0.029000,0.964097,1.0014780,0.6760770
0.033000,0.964028,1.0024740,0.6757380
0.037000,0.963911,1.0028050,0.6754380
0.041000,0.964118,1.0027090,0.6757210
0.045000,0.964115,1.0019220,0.6760260
0.049000,0.964089,1.0005390,0.6765610
0.053000,0.964025,0.9996800,0.6766990
0.057000,0.963861,0.9992950,0.6764530
0.061000,0.963960,0.9995640,0.6764990
0.065000,0.963862,1.0001810,0.6759030
0.069000,0.963937,1.0009430,0.6757300
0.073000,0.964196,1.0018520,0.6756480
0.077000,0.964270,1.0019030,0.6755930
0.081000,0.964535,1.0014890,0.6761280
0.085000,0.964243,1.0003590,0.6758470
0.089000,0.964845,0.9996280,0.6769530
0.093000,0.964501,0.9985010,0.6769750
0.097000,0.964037,0.9977810,0.6766700
0.101000,0.964078,0.9981420,0.6766260
0.105000,0.964107,0.9989700,0.6765600
0.109000,0.964044,1.0003680,0.6758700
0.113000,0.964035,1.0014680,0.6753650
0.117000,0.963996,1.0018040,0.6751670
0.121000,0.964057,1.0016830,0.6751860
0.125000,0.963927,1.0004890,0.6750230
0.129000,0.964117,0.9990880,0.6757370
0.133000,0.964088,0.9979200,0.6758630
0.137000,0.963969,0.9972460,0.6756560
0.141000,0.963979,0.9974030,0.6754700
0.145000,0.964065,0.9986590,0.6752530
0.149000,0.963928,0.9998970,0.6745170
0.153000,0.964064,1.0015780,0.6747130
0.157000,0.964082,1.0025630,0.6743860
0.161000,0.964172,1.0026400,0.6743360
0.165000,0.963802,1.0010770,0.6737770
0.169000,0.964031,1.0008450,0.6743840
0.173000,0.963699,0.9997910,0.6741380
0.177000,0.963320,0.9989420,0.6740150
0.181000,0.963408,0.9991050,0.6744080
0.185000,0.963418,1.0001640,0.6744040
0.189000,0.963440,1.0011640,0.6741440
0.193000,0.963533,1.0022790,0.6734480
0.197000,0.963706,1.0028640,0.6733940
0.201000,0.963621,1.0032780,0.6729200
0.205000,0.910961,0.7564150,0.5580520
0.209000,0.842021,0.4520810,0.3308130
0.213000,0.768718,0.2096710,0.1557830
0.217000,0.697572,0.0665660,-0.100353
0.221000,0.618293,-0.041932,-0.244000
0.225000,0.593737,0.0485230,-0.300415
0.229000,0.580279,0.1756580,-0.271658
0.233000,0.569889,0.3003350,-0.283230
0.237000,0.559781,0.3767850,-0.199710
0.241000,0.551187,0.4162890,-0.184345
0.245000,0.545425,0.4159540,-0.173939
0.249000,0.541024,0.4377930,-0.144998
0.253000,0.537799,0.4445050,-0.100091
0.257000,0.534191,0.4512090,-0.058048
0.261000,0.530823,0.4843150,-0.006487
0.265000,0.527860,0.4963640,0.0197990
0.269000,0.526083,0.4942550,0.0327420
0.273000,0.525072,0.4915160,0.0515780
0.277000,0.523211,0.4829760,0.0677550
0.281000,0.522040,0.4754910,0.0865250
0.285000,0.521493,0.4710460,0.1088260
0.289000,0.520434,0.4651720,0.1166110
0.293000,0.518566,0.4590010,0.1226140
0.297000,0.518935,0.4528710,0.1311510
0.301000,0.517400,0.4460120,0.1353200
0.305000,0.517241,0.4413080,0.1405160
0.309000,0.516968,0.4375770,0.1447180
0.313000,0.516029,0.4337890,0.1471200
0.316999,0.516523,0.4312960,0.1505850
0.320999,0.516307,0.4281720,0.1529750
0.324999,0.516234,0.4258680,0.1555540
0.328999,0.515059,0.4218680,0.1570170
0.332999,0.515083,0.4199240,0.1585640
0.336999,0.514936,0.4184270,0.1597970
0.340999,0.514951,0.4175510,0.1610900
0.344999,0.514984,0.4173650,0.1621020
0.348999,0.515861,0.4192590,0.1635120
0.352999,0.516029,0.4201050,0.1641040
0.356999,0.527387,0.4384530,0.1732860
0.360999,0.556056,0.5248380,0.2006940
0.364999,0.612862,0.6178270,0.2135370
0.368999,0.670924,0.7944350,0.3856700
0.372999,0.739019,0.9678780,0.6534530
0.376999,0.790415,1.0947650,0.9026290
0.380999,0.831177,1.0979790,1.1190270
0.384999,0.852719,1.1281740,1.3394650
0.388999,0.869659,1.0704950,1.3326160
0.392998,0.877672,1.0531680,1.2280530
0.396998,0.893666,1.0644660,1.1582920
0.400998,0.903390,1.0851520,1.1060500
0.404998,0.905388,1.0875040,1.0610660
0.408998,0.914294,1.0912400,1.0269040
0.412998,0.919164,1.0935190,0.9853390
0.416998,0.921508,1.1000740,0.9417740
0.420998,0.927134,1.1123530,0.9133020
0.424998,0.928450,1.1206540,0.8834170
0.428998,0.930136,1.1271030,0.8582850
0.432998,0.934763,1.1344870,0.8410330
0.436998,0.935163,1.1418960,0.8182660
0.440998,0.937543,1.1458250,0.8058720
0.444998,0.938323,1.1486730,0.7897150
0.448998,0.939897,1.1489320,0.7782960
0.452998,0.941970,1.1473900,0.7707970
0.456998,0.943567,1.1459620,0.7627650
0.460998,0.945181,1.1429790,0.7570290
0.464998,0.946640,1.1409540,0.7500740
0.468998,0.947542,1.1363560,0.7446960
0.472997,0.948973,1.1315060,0.7406600
0.476997,0.949926,1.1250990,0.7373670
0.480997,0.950488,1.1173190,0.7336420
0.484997,0.952332,1.1080890,0.7333600
0.488997,0.953390,1.0989590,0.7313890
0.492997,0.953193,1.0883480,0.7283110
0.496997,0.953532,1.0778010,0.7269140
0.500997,0.953945,1.0693100,0.7244390
0.504997,0.954833,1.0609320,0.7240710
0.508997,0.955246,1.0533100,0.7225000
0.512997,0.955192,1.0463390,0.7195120
0.516997,0.955824,1.0395310,0.7185210
0.520997,0.955828,1.0327970,0.7164560
0.524997,0.956520,1.0264740,0.7152890
0.528997,0.956912,1.0202760,0.7142250
0.532997,0.957271,1.0147940,0.7134020
0.536997,0.958284,1.0102850,0.7136840
0.540997,0.958640,1.0068300,0.7126690
0.544997,0.958913,1.0046760,0.7111060
0.548997,0.959151,1.0036720,0.7095180
0.552996,0.959298,1.0030490,0.7077870
0.556996,0.959686,1.0026440,0.7067020
0.560996,0.959891,1.0020380,0.7049720
0.564996,0.959915,1.0005940,0.7034370
0.568996,0.960166,0.9992880,0.7029220
0.572996,0.959892,0.9979520,0.7018340
0.576996,0.959378,0.9966240,0.7009300
0.580996,0.959413,0.9966790,0.6999500
0.584996,0.959481,0.9978890,0.6986240
0.588996,0.959487,0.9996190,0.6972370
0.592996,0.959741,1.0014420,0.6968250
0.596996,0.960201,1.0035490,0.6961380
0.600996,0.960415,1.0044810,0.6951850
0.604996,0.960615,1.0049180,0.6945070
0.608996,0.960646,1.0044720,0.6943500
0.612996,0.960491,1.0037110,0.6942030
0.616996,0.960708,1.0032410,0.6946340
0.620996,0.960664,1.0028290,0.6943080
0.624996,0.960868,1.0029920,0.6938680
0.628995,0.961157,1.0039630,0.6936120
0.632995,0.961313,1.0052360,0.6932120
0.636995,0.961451,1.0059310,0.6929320
0.640995,0.961409,1.0060270,0.6927390
0.644995,0.961431,1.0055550,0.6925720
0.648995,0.961632,1.0048770,0.6928710
0.652995,0.961191,1.0029070,0.6927280
0.656995,0.961475,1.0019130,0.6929140
0.660995,0.961483,1.0021690,0.6922710
0.664995,0.961323,1.0026110,0.6915770
0.668995,0.961391,1.0033750,0.6910670
0.672995,0.961580,1.0046300,0.6903820
0.676995,0.961660,1.0049590,0.6903840
0.680995,0.961836,1.0049470,0.6901380
0.684995,0.962091,1.0042910,0.6902580
0.688995,0.962281,1.0032500,0.6905990
0.692995,0.961960,1.0013710,0.6909740
0.696995,0.962136,1.0001280,0.6915950
0.700995,0.962053,0.9997750,0.6913260
0.704994,0.962184,1.0005360,0.6904890
0.708994,0.962141,1.0017350,0.6896160
0.712994,0.962316,1.0029900,0.6892030
0.716994,0.962328,1.0040640,0.6885290
0.720994,0.962310,1.0043080,0.6880850
0.724994,0.962315,1.0040820,0.6874990
0.728994,0.962538,1.0037960,0.6869990
0.732994,0.962345,1.0027370,0.6867860
0.736994,0.962709,1.0020490,0.6878660
0.740994,0.962940,1.0017680,0.6877680
0.744994,0.962856,1.0019150,0.6866800
0.748994,0.962974,1.0029460,0.6862240
0.752994,0.962877,1.0040380,0.6858930
0.756994,0.962768,1.0048480,0.6852510
0.760994,0.962557,1.0048260,0.6847980
0.764994,0.962837,1.0049820,0.6843470
0.768994,0.963001,1.0055150,0.6834430
0.772994,0.962857,1.0041880,0.6836120
0.776994,0.963087,1.0034140,0.6841510
0.780994,0.963086,1.0032930,0.6841440
0.784993,0.963206,1.0040930,0.6834790
0.788993,0.962957,1.0061740,0.6804540
0.792993,0.963166,1.0077290,0.6801130
0.796993,0.963301,1.0089670,0.6796910
0.800993,0.963262,1.0091660,0.6792830
0.804993,0.963426,1.0094470,0.6782770
0.808993,0.963631,1.0088220,0.6780390
0.812993,0.963539,1.0079800,0.6780320
0.816993,0.963524,1.0070850,0.6782120
0.820993,0.963745,1.0070770,0.6780250
0.824993,0.963302,1.0074030,0.6768580
0.828993,0.963314,1.0088240,0.6758430
0.832993,0.963439,1.0102560,0.6755810
0.836993,0.963597,1.0109850,0.6757930
0.840993,0.963696,1.0116370,0.6754000
0.844993,0.963997,1.0116850,0.6752880
0.848993,0.964288,1.0111610,0.6756960
0.852993,0.963816,1.0093770,0.6754970
0.856993,0.963805,1.0087060,0.6758370
0.860992,0.963692,1.0084200,0.6755500
0.864992,0.963669,1.0090660,0.6747930
0.868992,0.963645,1.0101270,0.6744150
0.872992,0.963969,1.0122100,0.6739650
0.876992,0.964129,1.0134550,0.6736820
0.880992,0.964290,1.0137890,0.6736610
0.884992,0.964578,1.0138670,0.6734670
0.888992,0.964622,1.0124840,0.6743580
0.892992,0.964622,1.0112460,0.6750360
0.896992,0.964601,1.0099760,0.6757450
0.900992,0.964614,1.0095190,0.6757860
0.904992,0.964520,1.0092260,0.6757110
0.908992,0.964404,1.0100330,0.6752580
0.912992,0.964290,1.0107930,0.6746170
0.916992,0.964208,1.0113280,0.6740730
0.920992,0.964372,1.0114970,0.6738450
0.924992,0.964434,1.0109320,0.6737050
0.928992,0.964508,1.0097480,0.6745140
0.932992,0.964256,1.0082630,0.6745990
0.936992,0.964150,1.0069670,0.6747430
0.940991,0.964094,1.0065060,0.6749400
0.944991,0.964312,1.0065650,0.6751180
0.948991,0.964496,1.0078980,0.6744460
0.952991,0.964525,1.0089010,0.6744340
0.956991,0.964871,1.0101860,0.6743210
0.960991,0.964939,1.0105600,0.6741330
0.964991,0.965377,1.0109380,0.6746700
0.968991,0.965590,1.0102820,0.6752380
0.972991,0.965692,1.0093950,0.6754040
0.976991,0.965673,1.0084710,0.6757800
0.980991,0.965751,1.0083970,0.6756330
0.984991,0.965680,1.0085250,0.6757720
0.988991,0.965596,1.0096800,0.6751970
0.992991,0.965284,1.0106360,0.6745490
0.996991,0.965221,1.0117640,0.6744030
1.000991,0.965501,1.0127540,0.6743630
1.004991,0.964772,1.0123340,0.6732330
1.008991,0.964003,1.0106030,0.6730300
1.012991,0.965021,1.0098010,0.6747820
1.016991,0.962466,1.0076600,0.6700830 求助完整格式：出错代码和出错提示
补充
运行后报错：??? Error: File: gyddj.m Line: 50 Column: 1Function definitions are not permitted at the prompt or in scripts.
程序中间要用龙阁库塔法解一个微分方程，方程的各个系数是上面遗传算法中计算出来的，而且要在整个遗传算法的执行过程中，每产生一代都要解一次这个微分方程，可是程序在执行过程中，在解微分方程处总是报错，请各位大虾帮帮忙忙看看究竟是哪的错误？ 方式之一若是函数请另存一档试试
[ 本帖最后由 ChaChing 于 2009-5-17 17:48 编辑 ]
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