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A Modern Approach to Teaching an Introduction to Optimization

BuchGebunden
130 Seiten
Englisch
Now Publishers Incerschienen am17.01.2024
Optimization should be the science of making the best possible decisions. Making decisions is a virtually universal human activity encountered by professionals (in any field) or people in their everyday lives. This book claims that the traditional style of teaching optimization is misguided and out of date.mehr

Produkt

KlappentextOptimization should be the science of making the best possible decisions. Making decisions is a virtually universal human activity encountered by professionals (in any field) or people in their everyday lives. This book claims that the traditional style of teaching optimization is misguided and out of date.
Details
ISBN/GTIN978-1-63828-320-1
ProduktartBuch
EinbandartGebunden
Erscheinungsjahr2024
Erscheinungsdatum17.01.2024
Seiten130 Seiten
SpracheEnglisch
MasseBreite 161 mm, Höhe 240 mm, Dicke 12 mm
Gewicht369 g
Artikel-Nr.61322630

Autor

Warren B. Powell is Professor Emeritus at Princeton University, where he taught for 39 years, and is currently Chief Analytics Officer at Optimal Dynamics. He is the founder and director of CASTLE Labs, which developed models and algorithms in stochastic optimization, with applications to energy systems, transportation, health, e-commerce, and the laboratory sciences (see www.castlelab.princeton.edu). He has pioneered the use of approximate dynamic programming for high-dimensional applications, and the knowledge gradient for active learning problems. His recent work has focused on developing a unified framework for sequential decision problems under uncertainty, spanning active learning to a wide range of dynamic resource allocation problems. He has authored books on Approximate Dynamic Programming and (with Ilya Ryzhov) Optimal Learning, and is the author of Reinforcement Learning and Stochastic Optimization: A unified framework for sequential decisions.