Finding the closest value in an large array

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

 Accepted Answer

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);

4 Comments

Sweet! That worked for the minimum! That helps so much! Thank you very very much!!!
Any clue on the maximum of lambda?
You can use max() in a similar way for lambda
[max_val, index] = max(lambda, [], 'all', 'linear');
[row, col] = ind2sub(size(F), index);
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!
I am glad to be of help.

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