The intent of the software contained on this CD is to provide support for the material covered in the textbook. All programs have been developed and tested using MATLAB Version 5.2. Although the authors believe that all routines should be compatible with earlier versions of MATLAB, this may not be the case. The software is maintained and regularly updated through our Web-site at www.wpi.edu/ece/EM_RF_lab/book. It is assumed that the user has a basic knowledge of MATLAB. Support of MATLAB is maintained through the MATHWORKS, Inc. Web-site at www.MATHWORKS.com.
The intent of the software contained on this CD is to provide support for the material covered in the textbook. All programs have been developed and tested using MATLAB Version 5.2. Although the authors believe that all routines should be compatible with earlier versions of MATLAB, this may not be the case. The software is maintained and regularly updated through our Web-site at www.wpi.edu/ece/EM_RF_lab/book. It is assumed that the user has a basic knowledge of MATLAB. Support of MATLAB is maintained through the MATHWORKS, Inc. Web-site at www.MATHWORKS.com.
％BIQPBOX Bisection reflective line search for sqpbox
％ [nx,nsig,alpha] = BIQPBOX(s,c,strg,x,y,sigma,l,u,...
％ oval,po,normg,DS,mtxmpy,data,H)
％ returns the new feasible point nx, the corresponding sign vector nsig,
％ and the step size of the unreflected step, alpha.
％ Copyright (c) 1990-98 by The MATHWORKS, Inc.
％ $Revision: 1.2 $ $Date:
％DEFINEV Scaling vector and derivative
％
％ [v,dv]= DEFINEV(g,x,l,u) returns v, distances to the
％ bounds corresponding to the sign of the gradient g, where
％ l is the vector of lower bounds, u is the vector of upper
％ bounds. Vector dv is 0-1 sign vector (See ?? for more detail.)
％
％ Copyright (c) 1990-98 by The MATHWORKS, Inc.
％ $Revision: 1.2 $ $Date: 1998/03/21 16:29:10 $
As all of you know, MATLAB is a powerful engineering language. Because of some limitation, some tasks take very long time to proceed. Also MATLAB is an interpreter not a compiler. For this reason, executing a MATLAB program (m file) is time consuming. For solving this problem, MATHWORKS provides us C Math Library or in common language, MATLAB API. A developer can employ these APIs to solve engineering problems very fast and easy. This article is about how can use these APIs.
The MDP toolbox proposes functions related to the resolution of discrete-time Markov Decision Process : finite horizon, value iteration, policy iteration, linear programming algorithms with some variants.
The functions (m-functions) were developped with MATLAB v6.0 (one of the functions requires the MATHWORKS Optimization Toolbox) by the decision team of the Biometry and Artificial Intelligence Unit of INRA Toulouse (France).
The version 2.0 (February 2005) handles sparse matrices and contains an example
