My code continuously giving this error( Error using ./ Matrix dimensions must agree. Error in Untitled14 (line 16) k = zeta*(w./wd); )

zeta = g * q;
j= 1-power(zeta,2);
wd = w*power(j,1/2);
r=w./wd;
k = zeta*r;
l=k*sin(wd*t);
m=cos(wdt) + l;
n= - zeta*w*t;
p = 1 - exp(n)*(m);
plot (p)

댓글 수: 4

That line, k = zeta*(w./wd); does not appear in your posted code.
It is difficult for us to debug this without knowing the size() of each of the variables.
basically this is the full code and the problem in variable "r" r=w./wd; and cant we assume the maximum size of the variable?
filename = 'datacollect2.xlsx';
num = xlsread(filename,'B1:B60');
w = num/60;
N = length(num);
t = 1/w;
s = xlsread(filename,'B3:B3');
xt= s;
g = 1/N;
i = xt + num;
h = xt/ i ;
ln=@log;
q=ln(h);
zeta = g * q;
j= 1-power(zeta,2);
wd = w*power(j,1/2);
r=w./wd;
k = zeta*r;
l=k*sin(wd*t);
m=cos(wdt) + l;
n= - zeta*w*t;
p = 1 - exp(n)*(m);
plot (p)
filename = 'datacollect2.xlsx';
num = xlsread(filename,'B1:B60');
w = num/60;
N = length(num);
t = 1/w;
s = xlsread(filename,'B3:B3');
xt= s;
g = 1/N;
i = xt + num;
h = xt/ i ;
ln=@log;
q=ln(h);
zeta = g * q;
j= 1-power(zeta,2);
wd = w*power(j,1/2);
r=w./wd;
k = zeta*r;
l=k*sin(wd*t);
m=cos(wdt) + l;
n= - zeta*w*t;
p = 1 - exp(n)*(m);
plot (p)
Error using ./ Matrix dimensions must agree.
Error in Untitled14 (line 16) r=w./wd;
size of w is 60x1 double size of wd is 60x60 double

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 채택된 답변

You are using the / operator in several places. In MATLAB, A/B is more or less the same as A * pinv(B) . 1/w where w is 60 x 1, gives you a 1 x 60 result. Likewise, h = xt/ i where i is 60 x 1, gives you a 1 x 60 result. You then end up working with this mix of 60 x 1 and 1 x 60 and you end up with trying to combine arrays in the wrong way.
>> 1/[2;4;3]
ans =
0 0.25 0
Notice the output is a row vector for a column vector divisor.
If you would need the answer [0.5; 0.25; 0.3333] (column vector, individual divisions) instead for this calculation, then you need to use the ./ operator

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도움말 센터File Exchange에서 Creating and Concatenating Matrices에 대해 자세히 알아보기

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