function X=gseid(A,B,P,delta, max1)

% Input  - A is an N x N nonsingular matrix
%        - B is an N x 1 matrix
%        - P is an N x 1 matrix; the initial guess
%	 - delta is the tolerance for P
%	 - max1 is the maximum number of iterations
% Output - X is an N x 1 matrix: the gauss-seidel approximation to
%	   the solution of AX = B

% NUMERICAL METHODS: MATLAB Programs
%(c) 1999 by John H. Mathews and Kurtis D. Fink
%To accompany the textbook:
%NUMERICAL METHODS Using MATLAB,
%by John H. Mathews and Kurtis D. Fink
%ISBN 0-13-270042-5, (c) 1999
%PRENTICE HALL, INC.
%Upper Saddle River, NJ 07458

N = length(B);

for k=1:max1
  fprintf('k=%d\n', k);
  for j=1:N
    fprintf('j=%d\n', j);
    if j==1
        X(1)=(B(1)-A(1,2:N)*P(2:N))/A(1,1);
      elseif j==N
	X(N)=(B(N)-A(N,1:N-1)*(X(1:N-1))')/A(N,N);
      else
	%X contains the kth approximations and P the (k-1)st
	% fixed bug from matlab's version:
        X(j)=(B(j)-A(j,1:j-1)*X(1:j-1)'-A(j,j+1:N)*P(j+1:N))/A(j,j);
      end
   end
   err=abs(norm(X'-P));
   relerr=err/(norm(X)+eps);
   P=X';
      if (err<delta)|(relerr<delta)
     break
   end
end

X=X';

