You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: binomial.m
    path of file: ./repos/Antenna_Theory_Analysis_and_Design_C.A.Balanis---MATLAB/Chapter 09/quarter-wavelength
    
    the code of the file until where you have to start completion: function [dat1,dat2,dat3]=binomial(choice,p,N,Z0,Rl);

% QUARTER WAVELENGTH TRANSFORMER WITH THE USE OF BINOMIAL METHOD
%
% INPUT PARAMETERS ARE EITHER THE MAXIMUM FRACTIONAL BANDWIDTH OR THE 
%
% MAXIMUM TOLERABLE REFLECTION COEFFICIENT, THE NUMBER OF USED
%
% SUBSECTIONS (N), THE CHARACTERISRIC INPUT IMPEDANCE (Z0) AND

    
function [dat1,dat2,dat3]=binomial(choice,p,N,Z0,Rl);

% QUARTER WAVELENGTH TRANSFORMER WITH THE USE OF BINOMIAL METHOD
%
% INPUT PARAMETERS ARE EITHER THE MAXIMUM FRACTIONAL BANDWIDTH OR THE 
%
% MAXIMUM TOLERABLE REFLECTION COEFFICIENT, THE NUMBER OF USED
%
% SUBSECTIONS (N), THE CHARACTERISRIC INPUT IMPEDANCE (Z0) AND
%
% THE LOAD INPUT RESISTANCE (Rl)

Gamma_comp=tschebcomp(choice,p,N,Z0,Rl);

mult1=(Rl-Z0)/(Rl+Z0);

n=0 : N;

C_n=(fact(N))./(fact(N-n).*fact(n));

ro_n=2.^(-N)*((Rl-Z0)/(Rl+Z0)).*C_n; %estimation of the reflections coefficients

Z=zeros(1,N+2);

Z(1)=Z0;

Z(N+2)=Rl;

for i=2 : N+2,
   
   Z(i)=((1+ro_n(i-1))./(1-ro_n(i-1)))*Z(i-1); %estimation of the characteristic impedance of each subsection
   
end