Relationship between least squares Monte Carlo and approximate linear programming
Year of publication: |
September 2017
|
---|---|
Authors: | Nadarajah, Selvaprabu ; Secomandi, Nicola |
Published in: |
Operations research letters. - Amsterdam [u.a.] : Elsevier, ISSN 0167-6377, ZDB-ID 720735-9. - Vol. 45.2017, 5, p. 409-414
|
Subject: | Markov decision processes | Approximate dynamic programming | Least squares Monte Carlo | Approximate linear programming | Financial and real options | Energy storage | Monte-Carlo-Simulation | Monte Carlo simulation | Mathematische Optimierung | Mathematical programming | Schätztheorie | Estimation theory | Markov-Kette | Markov chain | Dynamische Optimierung | Dynamic programming | Realoptionsansatz | Real options analysis |
-
Merchant energy trading in a network
Nadarajah, Selvaprabu, (2018)
-
Efficient algorithms of pathwise dynamic programming for decision optimization in mining operations
Hinz, Juri, (2020)
-
Least squares Monte Carlo and pathwise optimization for merchant energy production
Yang, Bo, (2024)
- More ...
-
Nadarajah, Selvaprabu, (2018)
-
Pathwise Optimization for Merchant Energy Production
Yang, Bo, (2020)
-
Relaxations of approximate linear programs for the real option management of commodity storage
Nadarajah, Selvaprabu, (2015)
- More ...