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
Welcome to Beginning Algorithms, a step-by-step introduction to computing algorithms for the real world.
Developers use algorithms and data structures every day of their working lives. Having a good understanding
of these algorithms and knowledge of when to apply them is essential to producing software
that not only works correctly, but also performs efficiently.
This book aims to explain those algorithms and data structures most commonly encountered in day-today
software development, while remaining at all times practical, concise, and to the point, with little or
no verbiage to distract from the core concepts and examples.
