function [b, alphas] = smo_train(X, Y, C, tol, max_passes)

% Runs the SMO algorithm.  X is the matrix of training examples.  Each row is
% a training example, and the jth column holds the jth feature.  Y is a column
% matrix containing 1 for positive examples and -1 for negative examples.  C
% is the standard SVM regularization parameter.  tol is a tolerance value used
% for determining equality of floating point numbers. 


% YOUR CODE HERE