pfqn_gflinearizer.m

%{
%{
 % @file pfqn_gflinearizer.m
 % @brief Generalized fixed-point Linearizer with uniform scaling exponent.
%}
%}
 
%{
%{
 % @brief Generalized fixed-point Linearizer with uniform scaling exponent.
 % @fn pfqn_gflinearizer(L, N, Z, type, tol, maxiter, alpha)
 % @param L Service demand matrix.
 % @param N Population vector.
 % @param Z Think time vector.
 % @param type Scheduling strategy type per station.
 % @param tol Convergence tolerance.
 % @param maxiter Maximum number of iterations.
 % @param alpha Uniform scaling exponent for all classes.
 % @return Q Mean queue lengths.
 % @return U Utilization.
 % @return W Waiting times.
 % @return C Cycle times.
 % @return X System throughput.
 % @return totiter Total iterations performed.
%}
%}
function [Q,U,W,C,X,totiter] = pfqn_gflinearizer(L,N,Z,type,tol,maxiter,alpha)
R = size(L,2);
[Q,U,W,C,X,totiter] = pfqn_egflinearizer(L,N,Z,type,tol,maxiter,alpha*ones(1,R));
end