Fminineq: constrained minimization

Fminineq solves constrained minimization problems, with both equality and inequality constraints.

Authors: David Vallverdu and Marc Trullas.
With the supervision of professor Manel Soria.
This software was developed as a part of a Advanced Thermodynamics course given by Dr. Manel Soria in a Master's degree at ETSEIAT, Polytechnical University of Catalonia, Spain.
Fminineq finds the optimal of
minimize: F0(X)
subject to: Aeq·X = beq
Ain·X <= bin
where F0 is the handle of f:R^n -> R, a class C² derivable function.
Fminineq is restricted to square Ain. For more information, see the help documentation.
Fminineq is aimed at free Gibbs Energy minimization for gas chemical equilibrium problems.
Fminineq uses a primal-dual interior point algorithm based on Boyd & Vandenberghe, Convex Optimization (2004).
The user-end part of Fminineq is designed so that it is similar to the MATLAB method Fmincon.