Finding the closest value in an large array

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AeroEng
AeroEng 2020년 5월 9일
댓글: Ameer Hamza 2020년 5월 9일
I have an array of 1001x1001. I would like to pull out a single value that is closest to 0 out of my "F" array. I do not know how to do this. Everytime I do it, it returns an entire column but I only want a single value.
The same thing happens for when I try to do the max of my "lambda". Would you please help me find the max and value closest to zero of these two variables. Thank you very much!
H_max = 20000*0.3048 ; % Meters
SM = 2;
amax = 10;
ML = 1 ; % kg
rhos = 2700 ; % kg/Meter^3
rhop = 1772 ; % kg/Meter^3
sigma = 60*10^6 ; % Pascal
N = 3 ; % Number of Fins
R = 287 ; % J/kg
T = 298 ; % Kelvin
g = 9.81 ; % Meters/Second^2
gamma = 1.4 ; % ND
a = (gamma*R*T)^(1/2) ; % Meters/Second
Pa = 101.325*10^3 ; % Pascal
% Solving for R_max, W_eq, t_b with linear burn rate
Rmax = 1 + amax;
Weq = ((H_max*g)/((log(Rmax)/2)*(log(Rmax)-2)+((Rmax -1)/(Rmax))))^(1/2);
Meq = Weq/a;
tb=((Rmax -1)*Weq)/(g*Rmax);
P0_Pa = (1+Meq^2*((gamma-1)/2))^(gamma/(gamma-1)) ; % ND - Pressure Ratio
P0 = P0_Pa*Pa ; % Pa - Pressure
% Starting with an Initial Lambda Max
lambdamax = 0;
D = 0:0.001:1; % i
L = 0:0.001:1; % j
% Preallocating each variable
delta = zeros(size(D));
r = zeros(size(D));
Mfb = zeros(size(D));
Mn = zeros(size(D));
Mcone = zeros(size(D));
Mcyl = zeros(size(D));
Mfin = zeros(size(D));
Ms = zeros(size(D));
M0 = zeros(size(D));
Mp = zeros(size(D));
Lp = zeros(size(D));
Xcp = zeros(size(D));
Xcg = zeros(size(D));
xp = zeros(size(D));
lambda = zeros(size(D));
F = zeros(size(D));
for i = 1:length(D)
for j = 1:length(L)
delta(i) = D(i)*P0/(2*sigma);
r(i) = D(i)/2;
Mfb(i) = pi*D(i)*rhos*D(i)*delta(i) ;
Mn(i) = delta(i)*rhos*pi*(D(i)/2)*((D(i)/2)+(D(i)^2+ (D(i)^2)/4)^(1/2));
Mcone(i) = rhos*delta(i)*(pi*r(i)*(r(i)+r(i)^2)^(1/2));
Mcyl(i,j) = rhos*pi*D(i)*delta(i)*L(j);
Mfin(i) = rhos*D(i)^2*delta(i)*pi +(3/2)*rhos*delta(i)*D(i)^2;
Ms(i,j) = (Mcyl(i,j) + Mfin(i) + Mcone(i));
Mp(i,j) = (Rmax - 1)*(Ms(i,j)+ML);
Lp(i,j) = Mp(i,j)/(pi*D(i)^2*rhop/4);
Ckn = (4*N*(4/3))/(1+sqrt(6)) ; % ND
Xcp(i,j) = (1.33*D(i) + Ckn*(D(i)+L(j)+(D(i)/3)))/(2+Ckn) ; % Meters
xp(i,j) = 2*D(i)+L(j)-Lp(i,j)/2;
Xcg(i,j) = ((2/3)*D(i)*Mn(i) + (2/3)*D(i)*ML + (D(i)+L(j)/2)*Mcyl(i,j)...
+ Mp(i,j)*xp(i) +((3*D(i)+2*L(j))/2)*Mfin(i))/(Mfin(i) + Mp(i,j)...
+ ML+Mcyl(i,j)+Mn(i));
lambda(i,j) = ML/(Ms(i,j)+Mp(i,j));
F(i,j) = Xcp(i,j)-Xcg(i,j)-D(i)*SM;
end
end

채택된 답변

Ameer Hamza
Ameer Hamza 2020년 5월 9일
You need to specify 'all' to min() and max() to find the minimum over the entire matrix. For example, this returns the minimum value and its location
[min_val, index] = min(abs(F-0), [], 'all', 'linear');
[row, col] = ind2sub(size(F), index);
  댓글 수: 4
AeroEng
AeroEng 2020년 5월 9일
Oh shoot! I didnt know if that was specific to the minimum but I understand now! Thank you very much! I appreciate all your help!
Ameer Hamza
Ameer Hamza 2020년 5월 9일
I am glad to be of help.

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