How do you make multiple for loops into one for loop?
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Hello,
I have a rough code that I want to fix/optimize. I have 5 for loops: all of them utilize the same given data but each loop builds off each other i.e. one loop creates a 10x1 matrix and the following loop uses those values to create a new set and so on. Each loop has a new equation which creates the values that uses the previous loop's value all to end in a final loop that uses all the found values to create a 10x10 matrix. I am struggling to get the final loop to work as well as optimizing the code to reduce the number of loops for the equations. Thank you!
clc; clear vars; clear all;
G=1367;%solar constant
phi=43.07;%lattitude of madison, wi
n=32;
delta = 23.45*sind(360*((284+n)/365));
w1=-75; w2=75; %hour angles from 7AM-5PM
w=15.* [-5 -4 -3 -2 -1 1 2 3 4 5]; %hour angles
t=[8 9 10 11 12 1 2 3 4 5]; %time 7AM-5PM
kT=[0.5 0.5 0.5 0.6 0.6 0.7 0.7 0.7 0.8 0.8]; %given values
A = ((12*3600*G)/pi); %simplified for eq
B = (1+(0.033*cosd((360*n)/365)));%simplified for eq
C = ((cosd(phi)*cosd(delta)*(sind(w2)-sind(w1))...%simplified for eq
+((pi*(w2-w1)/180)*sind(phi)*sind(delta))));%simplified for eq
Io = A*B*C; %hourly radiation on horizontal surface MJ/m^2
N=length(kT);
O=length(w);
IT=zeros(N, length(w));%populated matrix that fills, used for graphing
for j=1:O %1st loop uses changing w values
Rb(j,:)=(cosd(phi)*cosd(delta).*cosd(w(j)))+(sind(phi)*sind(delta));
%this equation is needed for final IT equation
end
for i=1:N %2nd loop needed to find I for final IT equation w/changing kT vals
I(i,:)=Io.*kT(i); %needed for following loops
end
for i=1:N %3rd loop needed to find Id for final IT equation w/changing kT vals
Id(i,:)=(.9511-(.1604*kT(i))+(4.388*kT(i)^2)-(16.638*kT(i)^3)+(12.336*kT(i)^4)).*I(i);
end
for i=1:N %4th loop needed to find Ib for final IT equation w/changing kT vals
Ib(i,:)=(1-(Id(i)/I(i)))*I(i);
end
for i=1:N %final loop uses all values created by previous loops to create a 10x10 matrix
%not exactly sure how to do the final loop, this is a rough guess
for k=1:length(w)
IT(i,k)=(Ib(i)*Rb(k))+(Id(i)*((1-cosd(beta))/2))+(I(i)*rho*((1-cosd(beta))/2));
%not sure if this is possible
end
end
2 个评论
Manikanta Aditya
2024-3-31
Hey,
Looks like you are trying to calculate the values of 'Rb', 'I','Id','Ib' and 'IT' in seperate loops. You can actually calculate all these values in a single loop.
clc; clear vars; clear all;
G=1367; %solar constant
phi=43.07; %latitude of Madison, WI
n=32;
delta = 23.45*sind(360*((284+n)/365));
w1=-75; w2=75; %hour angles from 7AM-5PM
w=15.* [-5 -4 -3 -2 -1 1 2 3 4 5]; %hour angles
kT=[0.5 0.5 0.5 0.6 0.6 0.7 0.7 0.7 0.8 0.8]; %given values
A = ((12*3600*G)/pi); %simplified for eq
B = (1+(0.033*cosd((360*n)/365))); %simplified for eq
C = ((cosd(phi)*cosd(delta)*(sind(w2)-sind(w1))... %simplified for eq
+((pi*(w2-w1)/180)*sind(phi)*sind(delta))); %simplified for eq
Io = A*B*C; %hourly radiation on horizontal surface MJ/m^2
N=length(kT);
O=length(w);
IT=zeros(N, length(w)); %populated matrix that fills, used for graphing
for i=1:N
for j=1:O
Rb=(cosd(phi)*cosd(delta).*cosd(w(j)))+(sind(phi)*sind(delta));
I=Io.*kT(i);
Id=(.9511-(.1604*kT(i))+(4.388*kT(i)^2)-(16.638*kT(i)^3)+(12.336*kT(i)^4)).*I;
Ib=(1-(Id/I))*I;
IT(i,j)=(Ib*Rb)+(Id*((1-cosd(beta))/2))+(I*rho*((1-cosd(beta))/2));
end
end
Thanks.
采纳的回答
Voss
2024-3-31
编辑:Voss
2024-3-31
No loops required:
Rb = cosd(phi)*cosd(delta).*cosd(w)+(sind(phi)*sind(delta)); % row vector the same size as w
I = Io.*kT; % row vector the same size as kT
Id = (0.9511-0.1604*kT+4.388*kT.^2-16.638*kT.^3+12.336*kT.^4).*I; % row vector the same size as kT and I
Ib = (1-(Id./I)).*I; % row vector the same size as kT, I, and Id
IT = Ib.'.*Rb+Id.'.*(1-cosd(beta))/2+I.'*rho*((1-cosd(beta))/2); % matrix of size numel(kT)-by-numel(w)
% because I, Id, and Ib are transposed
% in this line and Rb is not
(Assuming beta and rho are scalars - they are not defined in the question.)
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