Book contents
- Insight-Driven Problem Solving
- Insight-Driven Problem Solving
- Copyright page
- Dedication
- Contents
- Preface
- Introduction
- 1 The Big Picture of Analytics Science
- 2 Artificial Intelligence and Machine Learning
- 3 Queueing Theory and Resource Allocation
- 4 Game Theory and Mechanism Design
- 5 Linear and Nonlinear Mathematical Programming
- 6 Dynamic Programming and Sequential Decision-Making
- 7 Data Analysis
- 8 Graph Theory, Combinatorial Optimization, and Supply Chains
- Acknowledgments
- Notes
- References
- Index
6 - Dynamic Programming and Sequential Decision-Making
Published online by Cambridge University Press: 21 October 2025
Book contents
- Insight-Driven Problem Solving
- Insight-Driven Problem Solving
- Copyright page
- Dedication
- Contents
- Preface
- Introduction
- 1 The Big Picture of Analytics Science
- 2 Artificial Intelligence and Machine Learning
- 3 Queueing Theory and Resource Allocation
- 4 Game Theory and Mechanism Design
- 5 Linear and Nonlinear Mathematical Programming
- 6 Dynamic Programming and Sequential Decision-Making
- 7 Data Analysis
- 8 Graph Theory, Combinatorial Optimization, and Supply Chains
- Acknowledgments
- Notes
- References
- Index
Summary
In this chapter, the reader learns about the main ideas developed by analytics scientists in problem solving that requires decision-making over time. The reader realizes that various decision-making problems, including those made in everyday life such as which parking spot to take or which job offer to accept, can be addressed using these main ideas. The chapter also illustrates how the same ideas have been used to improve the world around us by citing various examples, including assisting policymakers to gain insights into the impact of different social mobility policies or to find better lockdown policies during a pandemic such as COVID-19.
Keywords
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- Type
- Chapter
- Information
- Insight-Driven Problem SolvingAnalytics Science to Improve the World, pp. 188 - 206Publisher: Cambridge University PressPrint publication year: 2025
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