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: run_tc.m
    path of file: ./repos/mctc4bmi/algs_tc/LRTC
    
    the code of the file until where you have to start completion: function T_hat = run_tc(params)
  T = params.T;
  Idx = params.Idx;
  
  T(T == 0) = 1e-3;
  %T = tensor(T);
  T = T.*Idx;
  %T = sptensor(T);
  Omega = logical(Idx);
  
  alpha = [1, 1, 1e-3];
  alpha = alpha / sum(alpha);
  maxIter = 100;
  epsilon = 1e-5;

  %% Fast LRTC (solve the relaxed formulation, FaLRTC algorithm in the paper)
  mu = 5 * alpha ./ sqrt(size(T));
  C =  0.6;
  L0 = 1e-5;
  [X_F, errList_F] = FaLRTC(...
     T,...                    % a tensor whose elements in Omega are used for estimating missing value
     Omega,...          % the index set indicating the obeserved elements

    
function T_hat = run_tc(params)
  T = params.T;
  Idx = params.Idx;
  
  T(T == 0) = 1e-3;
  %T = tensor(T);
  T = T.*Idx;
  %T = sptensor(T);
  Omega = logical(Idx);
  
  alpha = [1, 1, 1e-3];
  alpha = alpha / sum(alpha);
  maxIter = 100;
  epsilon = 1e-5;

  %% Fast LRTC (solve the relaxed formulation, FaLRTC algorithm in the paper)
  mu = 5 * alpha ./ sqrt(size(T));
  C =  0.6;
  L0 = 1e-5;
  [X_F, errList_F] = FaLRTC(...
     T,...                    % a tensor whose elements in Omega are used for estimating missing value
     Omega,...          % the index set indicating the obeserved elements
     alpha,...             % the coefficient of the objective function,  i.e., \|X\|_* := \alpha_i \|X_{i(i)}\|_* 
     mu,...                 % the relaxation parameters, mu >= 0. See the function for definitions
     L0,...                   % the initial step size parameter, i.e., stepsize = 1 / L;
     C,...                     % the shrinkage ratio in the range (0.5, 1). When "L" does not pass the descent enough test, we update L = L / C; 
     maxIter,...        % the maximum iterations
     epsilon...          % the tolerance of the relative difference of outputs of two neighbor iterations 
     );

   T_hat = X_F;
end