How to pick only one non-zero value from each row of a matrix (iterative output)

Hi everyone,

My question has two parts:

Part_1: Iterative calculation

I required to repeat my iterative calculation for diffrent initial guesses. For exmaple, in the below script where i use n0=1000 as initial guess. May someone help me to mopdify this script for different initail guesses (0, 10, 100, 1000) and save the out put in a single csv file.

My script is as follow for iterative calculation:

A = readmatrix('R_mean_value_0.01.csv');
for i=1:length(A);
f = @(n)((n+1)*log(n+1)-n)/n^2 - A(i);
n0 = 10000; % Initial guess
n(i) = fzero(f,n0 );
disp(n );
end
nn=n';
csvwrite('N_mean_10000.csv',nn);

Part_2: the output matrix is consist of either non-zero values or NaN, but non-zero values are same in each row. So i wnat to pick only one non-zero values and save in another matrix. The output is liek this:

Answer 1

[KSSV]

A = readmatrix('R_mean_value_0.01.csv');
m = length(A) ; 
IG = [0, 10, 100, 1000] ;    % initial guess 
n = length(IG) ;
nn = zeros(m,n) ; 
for i = 1:n
    n0 = IG(i) ; 
    for j=1:m
        f = @(n)((n+1)*log(n+1)-n)/n^2 - A(j);    
        nn(i,j) = fzero(f,n0 );
        disp(nn(i,j) );
    end
end
csvwrite('N_mean_10000.csv',nn);

[Andi]

I still got an error may be due to NaN values,

Error using fzero

Initial function value must be finite and real.

Error in script (line 238)

nn(i,j) = fzero(f,n0 );

[KSSV]

You can fill the NaN's using fillmissing, if you feel filling NaN's is correct.

[Andi]

NaN is only in the output while running the iterations, there is no NaN value in the input file

[KSSV]

Need to check your A data...

[Andi]

I double check the A (a column matrix with all positive non-zero enteries)