Dynamic Programming

This website presents a set of lectures on dynamic programming and its applications in economics, finance, and adjacent fields like operations research, designed and written by Thomas J. Sargent and John Stachurski. The languages of instruction are Julia and Python.

Julia Codebooks

• Chapter 1: Introductions
• Chapter 2: Operators and Fixed Points
• Chapter 3: Markov Dynamics
• Chapter 4: Optimal Stopping
• Chapter 5: Markov Decision Processes
• Chapter 6: Stochastic Discounting
• Chapter 7: Nonlinear Valuation
• Chapter 8: Recursive Decision Processes

Python Codebooks

• Chapter 1: Introductions
• Chapter 2: Operators and Fixed Points
• Chapter 3: Markov Dynamics
• Chapter 4: Optimal Stopping
• Chapter 5: Markov Decision Processes
• Chapter 6: Stochastic Discounting
• Chapter 7: Nonlinear Valuation
• Chapter 8: Recursive Decision Processes