Frontmatter
Contents
Foreword
1 Introduction
2 An Overview
3 Mathematical Preliminaries
4 Dynamic Programming under Certainty
5 Applications of Dynamic Programming under Certainty
6 Deterministic Dynamics
7 Measure Theory and Integration
8 Markov Processes
9 Stochastic Dynamic Programming
10 Applications of Stochastic Dynamic Programming
11 Strong Convergence of Markov Processes
12 Weak Convergence of Markov Processes
13 Applications of Convergence Results for Markov Processes
14 Laws of Large Numbers
15 Pareto Optima and Competitive Equilibria
16 Applications of Equilibrium Theory
17 Fixed-Point Arguments
18 Equilibria in Systems with Distortions