$($b$)[10$ pts$.]$ Write a Matlab$/$python code to solve the linear least squares problem. Use $\backslash (\backslash$mathrm$\{$fib$1\}\backslash$mathrm$\{$~m$\}/\backslash )$ fib$1.$py to generate the true resistances $\backslash ($ R$\_\{$i$\}\backslash )$ and $\backslash ($ R$\_\{$m$\}\backslash ),$ the voltage inputs $\backslash ($ f $\backslash ),$ and the corresponding potentials. Add random noise to the computed potentials to generate the potential measurements using

$```$

noiselevel $=0\mathrm{.}05$;

error $=$ randn$($n$,1)$; error$=$error$/$norm$($error$)$;

xexp $=$ x$.*(1+$noiselevel$*$error$)$;

$```$

Then set up the linear least squares problem and solve it using the Matlab backslash $(\text{'}\backslash (\backslash$backslash $\text{'})\backslash )$ command to solve the least squares problem.

Print the 'true' resistances that were used to generate the measurements as well as the recovered resistances obtained by solving the linear least squares problem.

Your code should be written for an $\backslash ($ N $\backslash )$ compartment model with arbitrary number of compartments, however, when generating an output please choose a value for $\backslash ($ N $\backslash ).$ All output must be organized into a labeled table $($this can be Matlab generated or handwritten$).$ For example, if you choose $\backslash ($ N$=4\backslash ),$ then your output should look like the following. $($Note the X$\text{'}$s are where your output would be$)$

$```$

input the number of compartments, N: $4$

noise level $=5\mathrm{.}0000$e$-02$

true axial resistance $=$ XXXXX

true membrane resistance $=$ XXXXXX

recovered axial resistance $=$ XXXXXXX

recovered membrane resistance $=$ XXXXXX

$```$