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: slinearsolve.m
    path of file: ./repos/CanlabCore/CanlabCore/External/spider/Optimization
    
    the code of the file until where you have to start completion: function [x,y,flag,z,s,w] = slinearsolve(c,A,b,C), 
% Simple Linear Optimization for Franke and Wolfe's multiclass SVM method
% 
% USAGE  :   [x,y,flag,z,s,w] = slinearsolve(c,A,b,C)
%
% PARAMETERS:
%          c = (n,1) vector
%          A = (m,n) matrix 
%          b = (m,1) vector
% 
    
function
% pobjo      -> old primal objective function
% dobj       -> dual objective function
% dobjo      -> old dual objective function
% dlgap      -> dual gap
% oldgap     -> old dual gap
% objQ       -> 0.5*x'*x
% n          ->   number of variables in the initial pb (size of x)
% m          ->   number of constraints in A
% Q          ->   number of classes
% x,s  (real) (n,1) vector  ->   primal variables
% z,w  (real) (n,1) vector  ->   dual variables
% dinf       ->   smallest acceptable values for x,y,s etc...
% smallz     ->   smallest acceptable values for z in the inversion
%                 of theta
% smallt     ->   smallest acceptable values for t in the computation
%                 of the matrix theta
% clean_eps  ->   precision to clean x (at the end of the procedure)
% opttol     ->   acceptable tolerance for optimality conditions
% itref      ->   iteration counter
% maxiter    ->   maximum number of iterations
% cont       ->   boolean value to continue in the loop
% flag       ->   set to 1 => computation ok, set to 0 => pb in the computation
%                 set to -1 => solution unbounded.
%                 example: maxiter has been reached (flag=0).
% trdoff     ->   trade-off between the linear and the quadratic part of the objective
%                 function
% ind_tmp_Y  ->   indices corresponding to alpha_{c(p)p}
  
%## AE : scale the problem, has been tested and seems to work
%## better : more stable... 
  if C < Inf,
    u = ones(n,1);
    b = b/C;
  end