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Leading Developments from INFORMS Communities / VOLUME EDITORS: Rajan Batta and Jiming Peng.
- Format:
- Book
- Series:
- TutORials in Operations Research ; 2017.
- Language:
- English
- Subjects (All):
- Deep learning (Machine learning).
- Physical Description:
- 1 online resource
- Place of Publication:
- Hanover, Md : INFORMS, 2017.
- Summary:
- We are delighted to bring forth this volume of TutORials highlighting selective recent exciting developments from many Informs communities to address critical challenges from various applications. We believe this compilation of contributions by experts from these topics will be a good representation of the current and emerging trends in OR/MS. We provide brief summaries of the chapters under sub-themes of the compilation.
- Contents:
- Foreword
- Preface
- Acknowledgments
- An Introduction to Two-Stage Stochastic Mixed-Integer Programming
- Simge Küçükyavuz, Suvrajeet Sen
- Easy Affine Markov Decision Processes: Properties and Applications
- Jie Ning
- Introduction to Disaggregate Demand Models
- Michel Bierlaire, Virginie Lurkin
- Markov Decision Processes, AlphaGo, and Monte Carlo Tree Search: Back to the Future
- Michael C. Fu
- Optimization Methods for Supervised Machine Learning: From Linear Models to Deep Learning
- Frank E. Curtis, Katya Scheinberg
- Metabolic Networks and Modern Research Problems in Operations Research
- J. Paul Brooks, Allen Holder
- Operations Research Approaches for Building Demand Response in a Smart Grid
- Miguel F. Anjos, Juan A. Gómez
- Quantitative Imaging System for Cancer Diagnosis and Treatment Planning: An Interdisciplinary Approach
- Teresa Wu, Nathan Gaw, Yanzhe Xu, Jing Li, Lujia Wang, Yinlin Fu, Alvin Silva, Christine Zwart, Mitesh Borad, Thomas DeLeon, Bhavika Patel
- Competition in Multi-Echelon Systems
- Awi Federgruen, Ming Hu
- Dynamic Ridesharing
- Fernando Ordóñez, Maged M. Dessouky
- Location Models for Emergency Service Applications
- Vladimir Marianov
- Humanitarian Logistics
- Bahar Yetis Kara, Sinem Savaşer
- Contributing Authors.
- Notes:
- Presented at the INFORMS Annual Meeting, October 22–25, 2017
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 978-0-9906153-0-9
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