Solving unconstrained binary polynomial programs with limited reach : Application to low autocorrelation binary sequences
Year of publication: |
2024
|
---|---|
Authors: | Crama, Yves ; Lusby, Richard ; Rodríguez-Heck, Elisabeth ; Ropke, Stefan |
Published in: |
Computers & operations research : an international journal. - Amsterdam [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 1499736-8. - Vol. 165.2024, Art.-No. 106586, p. 1-13
|
Subject: | Dynamic programming | Low autocorrelated binary sequences | Unconstrained binary polynomial program | Mathematische Optimierung | Mathematical programming | Autokorrelation | Autocorrelation | Dynamische Optimierung | Schätztheorie | Estimation theory |
-
Moving forward : a simulation-based approach for solving dynamic resource management problems
Springborn, Michael R., (2019)
-
Spatio-temporal hydro forecasting of multireservoir inflows for hydro-thermal scheduling
Lohmann, Timo, (2016)
-
Model selection for regression with heteroskedastic and autocorrelated errors
Mao, Guangyu, (2013)
- More ...
-
Solving Unconstrained Binary Polynomial Programs with Limited Reach
Crama, Yves, (2023)
-
Berge-acyclic multilinear 0–1 optimization problems
Buchheim, Christoph, (2019)
-
Models for the discrete berth allocation problem : a computational comparison
Buhrkal, Katja, (2011)
- More ...