Decision Analytics
Mathematical Models and Algorithms for Sequential Decision-Making
$246.05
- Hardcover
240 pages
- Release Date
19 October 2026
Summary
Mathematical Models and Algorithms for Sequential Decisions Under Uncertainty
Sequential decisions under uncertainty arise in many fields including energy, healthcare, finance, transportation, and logistics, yet accessible treatments linking foundational theory to computational practice remain scarce. Decision Analytics: Mathematical Models and Algorithms for Sequential Decision-Making, written by Brian T. Denton, a past President of INFORMS, presents a structured progressi…
Book Details
| ISBN-13: | 9781394345786 |
|---|---|
| ISBN-10: | 139434578X |
| Author: | Brian T. Denton |
| Publisher: | John Wiley & Sons Inc |
| Imprint: | Wiley-IEEE Press |
| Format: | Hardcover |
| Number of Pages: | 240 |
| Release Date: | 19 October 2026 |
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Brian T. Denton
Brian T. Denton, PhD
Brian T. Denton, PhD, is the Stephen M. Pollock Collegiate Professor of Industrial and Operations Engineering at the University of Michigan. A past President of INFORMS, his research focuses on data-driven sequential decision making and optimization under uncertainty. His work has earned the National Science Foundation Career Award, INFORMS Daniel H. Wagner Prize, and the George E. Kimball medal. He is a Fellow of INFORMS and the Institute of Industrial and Systems Engineers.
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