Please fix my code to output the following table:

clc; clear all; close all;

$\%$ Input $($square matrix$)$

P $=[-4140$; $-5130$; $-102]$;

$\%$ Initial condition

v$0=[1$; $1$; $1]$;

$\%$ Get the size of the matrix

n $=$ length$($P$)$;

$\%$ Tolerance for convergence

tol $=10^(-4)$;

$\%$ Maximum number of iterations

max$\_($i$)$ter $=100$;

$\%$ Initialize for Aitken's Method

mu$0=0$;

mu$1=0$;

$\%$ Step $1$: Initial iteration

v $=$ P $*$ v$0$; $\%$ v is the eigenvector

eVal $=$ norm$($v$,$ Inf$)$; $\%$ the eigenvalue

$\%$ Finding the dominant element and its index

$[$~$,$ p$]=$ max$($abs$($v$))$;

if eVal $==0$

fprintf$(\text{'}$P has the eigenvalue $0,$ select a new vector x and restart'$)$;

return;

end

$\%$ Store values for Aitken's method

mu $=$ zeros$($max$\_($i$)$ter$,1)$;

mu$(1)=$ mu$0$;

mu$(2)=$ mu$1$;

mu$\_($h$)$at $=$ zeros$($max$\_($i$)$ter$,1)$;

$\%$ Step $2$: Loop over iterations

for k $=2$:max$\_($i$)$ter

v $=$ P $*$ v; $\%$ New vector $($P $*$ v$)$

eVal $=$ norm$($v$,$ Inf$)$; $\%$ Normalize to get the eigenvalue

v $=$ v $()/()$ eVal; $\%$ Normalize the eigenvector

$\%$ Aitken's extrapolation

mu $=$ eVal;

mu$\_($h$)$at$($k$)=$ mu$($k$)-(($mu$($k$+1)-$ mu$($k$))^(2)()/()($mu $-2*$mu$($k$+1)+$ mu$($k$)))$;

$\%$ Check for convergence

if norm$($mu$\_($h$)$at$($k$)-$ mu$,$ Inf$)$ tol

fprintf$(\text{'}$Converged with Aitken'$\text{'}$s method after $\%$d iterations.$\text{'},$ k$)$;

fprintf$(\text{'}$Aitken$\text{'}\text{'}$s accelerated eigenvalue mu$\_($h$)$at $=\%2\mathrm{.}6$f$\text{'},$ mu$\_($h$)$at$($k$))$;

break;

end

$\%$ Update variables for the next iteration

mu$($k$)=$ mu$($k$+1)$;

mu$($k$+1)=$ mu;

end

if k $==$ max$\_($i$)$ter

disp$(\text{'}$The maximum number of iterations exceeded'$)$;

end

$\%$ Print a table of ten approximated values of lambda as iteration increases

disp$(\text{'}$Iterations Lambda'$)$;

for i $=1$:k

fprintf$(\text{'}\%4$d $\%7\mathrm{.}4$f $\%7\mathrm{.}4$f $\%7\mathrm{.}4$f$\text{'},$ i$,,$v$($i$),$ mu$($i$),$mu$\_($h$)$at$($i$))$;

end