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SIAM journal on optimization, ISSN 1095-7189, 2016, Volume 26, Issue 1, pp. 337 - 364
The alternating direction method of multipliers (ADMM) is widely used to solve large-scale linearly constrained optimization problems, convex or nonconvex, in... 
Nonconvex optimization | Sharing | ADMM | Consensus | consensus | MATHEMATICS, APPLIED | nonconvex optimization | ALGORITHMS | sharing
Journal Article
SIAM Journal on Scientific Computing, ISSN 1064-8275, 2015, Volume 37, Issue 1, pp. A536 - A563
Journal Article
Neurocomputing (Amsterdam), ISSN 0925-2312, 02/2017, Volume 224, pp. 71 - 81
Journal Article
IEEE transactions on image processing, ISSN 1057-7149, 2012, Volume 21, Issue 12, pp. 4709 - 4721
Nonsmooth nonconvex regularization has remarkable advantages for the restoration of piecewise constant images. Constrained optimization can improve the image... 
nonsmooth and nonconvex | non-Lipschitz | image restoration | Box constraints | regularization
Journal Article
Journal of machine learning research, ISSN 1532-4435, 2018, Volume 18, pp. 1 - 52
The use of convex regularizers allows for easy optimization, though they often produce biased estimation and inferior prediction performance. Recently,... 
Nonconvex optimization | Frank-Wolfe algorithm | Nonconvex regularization | Proximal algorithm | Matrix completion | SPARSITY | RELAXATION | ALGORITHMS | VARIABLE SELECTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | CONVERGENCE | NONSMOOTH | AUTOMATION & CONTROL SYSTEMS
Journal Article
European journal of operational research, ISSN 0377-2217, 07/2018, Volume 268, Issue 1, pp. 268 - 280
•Metatechnologies are used when firms operate in different group technologies.•Using methodologies typically requires solving mixed integer linear programs.•We... 
Metafrontier | Returns to scale | Nonconvex metatechnology | Data envelopment analysis | INDUSTRY | PERFORMANCE | RETURNS | NONPARAMETRIC PRODUCTION ANALYSIS | WEAK DISPOSABILITY | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | MODELS | FRONTIERS | TECHNOLOGY GAPS | SCALE
Journal Article
Journal of mathematical analysis and applications, ISSN 0022-247X, 2007, Volume 325, Issue 1, pp. 1 - 18
The aim of this work is to obtain scalar representations of set-valued optimization problems without any convexity assumption. Using a criterion of solution... 
Nonconvex scalarization | Optimality conditions | Set-valued optimization | Set optimization | Gerstewitz's nonconvex separation functional | optimality conditions | MATHEMATICS | MATHEMATICS, APPLIED | set-valued optimization | VECTOR OPTIMIZATION | DUALITY | set optimization | nonconvex scalarization
Journal Article
Mathematical programming, ISSN 0025-5610, 11/2017, Volume 166, Issue 1-2, pp. 131 - 158
Journal Article
Proceedings of the National Academy of Sciences - PNAS, ISSN 1091-6490, 2018, Volume 115, Issue 7, pp. 1457 - 1462
Quantum annealers aim at solving nonconvex optimization problems by exploiting cooperative tunneling effects to escape local minima. The underlying idea... 
Quantum annealing | Nonconvex optimization | Neural networks | Statistical physics | Machine learning | statistical physics | MULTIDISCIPLINARY SCIENCES | neural networks | NETWORKS | nonconvex optimization | machine learning | quantum annealing | Physical Sciences
Journal Article
Computers & chemical engineering, ISSN 0098-1354, 08/2018, Volume 116, pp. 122 - 134
Journal Article
IEEE transactions on information theory, ISSN 1557-9654, 2018, Volume 64, Issue 4, pp. 2675 - 2689
Journal Article
Journal of scientific computing, ISSN 1573-7691, 2018, Volume 78, Issue 1, pp. 29 - 63
Journal Article