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Convex analysis
Convex analysis is the branch of mathematics devoted to the study of properties of convex functions and convex sets, often with applications in…
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Related topics
Related topics
36 relations
Bipolar theorem
Characteristic function (convex analysis)
Complex convexity
Convex conjugate
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Broader (1)
Mathematical optimization
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
A bivariate potential-density view of Kohn-Sham iteration
P. Lammert
2018
Corpus ID: 54627729
A bivariate perspective on density functional theory is proposed, privileging neither potential nor density {\it a priori}. For a…
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2015
2015
Erratum to: An Additive Subfamily of Enlargements of a Maximally Monotone Operator
R. Burachik
,
J. Martínez-Legaz
,
M. Rezaie
,
M. Théra
2015
Corpus ID: 12506623
In the proof of Theorem 2.2 of [1], the authors would like to replace the text: “Bauschke andWang [2, Theorem 5.7] proved that…
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2015
2015
Adaptive Interpolation Strategies in Derivative-Free Optimization: a case study
W. Hare
,
M. Jaberipour
2015
Corpus ID: 119718753
Derivative-Free optimization (DFO) focuses on designing methods to solve optimization problems without the analytical knowledge…
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2014
2014
Cooperative Set Aggregation for Multiple Lagrangian Systems
Ziyang Meng
,
Tao Yang
,
Guodong Shi
,
Dimos V. Dimarogonas
,
Yiguang Hong
,
K. Johansson
arXiv.org
2014
Corpus ID: 14821984
In this paper, we study the cooperative set tracking problem for a group of Lagrangian systems. Each system observes a convex set…
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2014
2014
Lipschitz Regularization of Images supported on Surfaces using Riemannian Morphological Operators
J. Angulo
2014
Corpus ID: 59508472
Dierent imaging modalities produce nowadays images on smooth surfaces, represented by images painted on meshes or point clouds…
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2012
2012
S-GOODNESS FOR LOW-RANK MATRIX RECOVERY, TRANSLATED FROM SPARSE SIGNAL RECOVERY
L. Tunçel
,
N. Xiu
2012
Corpus ID: 18464323
Low-rank matrix recovery (LMR) is a rank minimization problem subject to linear equality constraints, and it arises in many…
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2010
2010
State smoothing by sum-of-norms regularization
Henrik Ohlsson
,
F. Gustafsson
,
L. Ljung
,
Stephen P. Boyd
IEEE Conference on Decision and Control
2010
Corpus ID: 18002322
The presence of abrupt changes, such as impulsive disturbances and load disturbances, make state estimation considerably more…
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2001
2001
Modeling and control of thin film morphology using unsteady processing parameters: Problem formulation and initial results
M. Gallivan
,
D. Goodwin
,
R. Murray
Proceedings of the 40th IEEE Conference on…
2001
Corpus ID: 13615375
Thin film deposition is an industrially-important process to which control theory has not historically been applied. The need for…
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1990
1990
Nonsmooth analysis and parametric optimization
R. Rockafellar
1990
Corpus ID: 14834702
In an optimization problem that depends on parameters, an important issue is the effect that perturbations of the parameters can…
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1990
1990
Convex analysis and approximation theory
R. Gamkrelidze
1990
Corpus ID: 118203600
Intended for a wide range of readers, this book covers the main ideas of convex analysis and approximation theory. The author…
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