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Comments on “Surrogate Gradient Algorithm for Lagrangian Relaxation”
Journal of Optimization Theory and Applications, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Lagrangian Relax-and-Cut Algorithms
2008Attempts to allow exponentially many inequalities to be candidates to Lagrangian dualization date from the early 1980s. In the literature, the term Relax-and-Cut is being used to denote the whole class of Lagrangian Relaxation algorithms where Lagrangian bounds are attempted to be improved by dynamically strengthening relaxations with the introduction ...
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Lagrangian relaxation for optimal corpus design.
2007This article is interested in the problem of the linguistic content of a speech corpus. Depending on the target task (speech recognition, speech synthesis, etc) we try to control the phonological and linguistic content of the corpus by collecting an optimal set of sentences which make it possible to cover a preset description of phonological attributes
Chevelu, Jonathan +3 more
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Theoretical Foundations of CP-Based Lagrangian Relaxation
2004CP-based Lagrangian Relaxation allows us to reason on local substructures while maintaining a global view on an entire optimization problem. While the idea of cost-based filtering with respect to systematically changing objective functions has been around for more than three years now, so far some important observations have not been explained. In this
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Asynchronous circuit placement by Lagrangian relaxation
2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2014Gang Wu 0002 +4 more
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Lagrangian relaxation for natural language decoding.
2014The major success story of natural language processing over the last decade has been the development of high-accuracy statistical methods for a wide-range of language applications. The availability of large textual data sets has made it possible to employ increasingly sophisticated statistical models to improve performance on language tasks.
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Machine learning for Lagrangian relaxation
Apprentissage automatique pour la relaxation Lagrangienne Cette thèse explore l'application de l'apprentissage automatique à la relaxation lagrangienne, où certaines contraintes sont dualisées et intégrées dans la fonction objectif sous forme de pénalités.openaire +1 more source