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Beschreibung
The book explores the field of model predictive control (MPC). It reports on the latest developments in MPC, current applications, and presents various subfields of MPC. The book features topics such as uncertain and stochastic MPC variants, learning and neural network approaches, easy-to-use numerical implementations as well as multi-agent systems and scheduling and coordination tasks. While MPC is rooted in engineering science, this book illustrates the potential of using MPC theory and methods in non-engineering sciences and applications such as economics, finance, and environmental sciences.
Engineering Methods for Economists
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 08. Juni 2025 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 522 Gramm |
| Format | Hardcover |
| ISBN-13 | 9783031852558 |
| Seiten | 224 |
Schlagwörter
Angewandte Mathematik, Control and Systems Theory, Management: Entscheidungstheorie, Mathematics in Business - Economics and Finance, Operations Research and Decision Theory, Quantitative Economics, Regelungstechnik, Stochastic Systems and Control, Stochastik, Unternehmensforschung, Wahrscheinlichkeitsrechnung und Statistik, Wirtschaftstheorie und -philosophie, Wirtschaftswissenschaft - Finanzen - Betriebswirtschaft und Management
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