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The minimalist program and second language acquisition

The minimalist program and second language acquisition
The minimalist program and second language acquisition
We introduce a unified framework for the study of multilevel mixed integer linear optimization problems and multistage stochastic mixed integer linear optimization problems with recourse. The framework highlights the common mathematical structure of the two problems and allows for the development of a common algorithmic framework. Focusing on the two-stage case, we investigate, in particular, the nature of the value function of the second-stage problem, highlighting its connection to dual functions and the theory of duality for mixed integer linear optimization problems, and summarize different reformulations. We then present two main solution techniques, one based on a Benders-like decomposition to approximate either the risk function or the value function, and the other one based on cutting plane generation.
Cambridge University Press
Slabakova, Roumyana
1bda11ce-ce3d-4146-8ae3-4a486b6f5bde
Grohmann, Kleanthes
Leivada, Evelina
Slabakova, Roumyana
1bda11ce-ce3d-4146-8ae3-4a486b6f5bde
Grohmann, Kleanthes
Leivada, Evelina

Slabakova, Roumyana (2021) The minimalist program and second language acquisition. In, Grohmann, Kleanthes and Leivada, Evelina (eds.) Cambridge Handbook of Minimalism. (Cambridge Handbooks in Language and Linguistics) Cambridge University Press. (In Press)

Record type: Book Section

Abstract

We introduce a unified framework for the study of multilevel mixed integer linear optimization problems and multistage stochastic mixed integer linear optimization problems with recourse. The framework highlights the common mathematical structure of the two problems and allows for the development of a common algorithmic framework. Focusing on the two-stage case, we investigate, in particular, the nature of the value function of the second-stage problem, highlighting its connection to dual functions and the theory of duality for mixed integer linear optimization problems, and summarize different reformulations. We then present two main solution techniques, one based on a Benders-like decomposition to approximate either the risk function or the value function, and the other one based on cutting plane generation.

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Slabakova C Handbook of Minimalism revised - Accepted Manuscript
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Accepted/In Press date: 1 March 2021

Identifiers

Local EPrints ID: 448746
URI: http://eprints.soton.ac.uk/id/eprint/448746
PURE UUID: d697b651-dee6-4a13-a990-82680703ef86
ORCID for Roumyana Slabakova: ORCID iD orcid.org/0000-0002-5839-460X

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Date deposited: 04 May 2021 16:50
Last modified: 17 Mar 2024 03:33

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Contributors

Editor: Kleanthes Grohmann
Editor: Evelina Leivada

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