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: Hybrid2_AdvecRes1d_Algorithm2.m
    path of file: ./repos/ApproximateRiemannSolvers/MUSCL_THINC_BVD
    
    the code of the file until where you have to start completion: function res = Hybrid2_AdvecRes1d_Algorithm2(qi,flux,dflux,S,dx,limiter)
%
% MUSCL-THINC-BVD implementation for scalar advection Equations 
%   -- Algorithm 2 
%
%% 1. MUSCL reconstruction 

% Initial Arrays      
% qi = q;  % : q_{ j }^{n},
qim1 = circshift(qi,+1); % : q_{j-1}^{n},
qip1 = circshift(qi,-1); % : q_{j+1}^{n}.
 
dqR = qip1 - qi;

    
function res = Hybrid2_AdvecRes1d_Algorithm2(qi,flux,dflux,S,dx,limiter)
%
% MUSCL-THINC-BVD implementation for scalar advection Equations 
%   -- Algorithm 2 
%
%% 1. MUSCL reconstruction 

% Initial Arrays      
% qi = q;  % : q_{ j }^{n},
qim1 = circshift(qi,+1); % : q_{j-1}^{n},
qip1 = circshift(qi,-1); % : q_{j+1}^{n}.
 
dqR = qip1 - qi;
dqL = qi - qim1;
dqC = (qip1-qim1)/2;
dq=zeros(size(qi));

% Compute and limit slopes
for j = 1:size(qi,2) % for all internal faces
    switch limiter
        case 'MC' % MC limiter
            % Find dq_j = minmod{fwd diff, bwd diff, cntrl diff}
            dq(j) = minmod([2*dqR(j),2*dqL(j),dqC(j)]);
        case 'MM' % Minmod limiter
            % Find dq_j = minmod{fwd diff, bwd diff}
            dq(j) = minmod([dqR(j),dqL(j)]);
        case 'VA' % Van Albada limiter
            dq(j) = vanalbada(dqR(j),dqL(j),dx);
        otherwise
            error('limiter not listed!')
    end