Results 11 to 20 of about 619,780 (278)
Optimal Solvers for PDE-Constrained Optimization [PDF]
SIAM Journal on Scientific Computing, 2010 Optimization problems with constraints which require the solution of a partial differential equation arise widely in many areas of the sciences and engineering, in particular in problems of design. The solution of such PDE-constrained optimization problems is usually a major computational task.
Tyrone Rees +2 more
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Omnipredictors for Constrained Optimization
CoRR, 2022 The notion of omnipredictors (Gopalan, Kalai, Reingold, Sharan and Wieder ITCS 2021), suggested a new paradigm for loss minimization. Rather than learning a predictor based on a known loss function, omnipredictors can easily be post-processed to minimize any one of a rich family of loss functions compared with the loss of hypotheses in a class ...
Lunjia Hu +3 more
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Constrained Optimal Transport [PDF]
Archive for Rational Mechanics and Analysis, 2017 The classical duality theory of Kantorovich and Kellerer for the classical optimal transport is generalized to an abstract framework and a characterization of the dual elements is provided. This abstract generalization is set in a Banach lattice $\cal{X}$ with a order unit.
Ibrahim Ekren, H. Mete Soner
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Transliteration as constrained optimization [PDF]
Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08, 2008 This paper introduces a new method for identifying named-entity (NE) transliterations in bilingual corpora. Recent works have shown the advantage of discriminative approaches to transliteration: given two strings (ws, wt) in the source and target language, a classifier is trained to determine if wt is the transliteration of ws.
Dan Goldwasser, Dan Roth 0001
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Distributed Interval Optimization Over Time-Varying Networks: A Numerical Programming Perspective
IEEE Access, 2023 In this study, we investigate a distributed interval optimization problem involving agents linked by a time-varying network, optimizing interval objective functions under global convex constraints.
Yinghui Wang +3 more
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Quantum-Inspired Hierarchy for Rank-Constrained Optimization
PRX Quantum, 2022 Many problems in information theory can be reduced to optimizations over matrices, where the rank of the matrices is constrained. We establish a link between rank-constrained optimization and the theory of quantum entanglement.
Xiao-Dong Yu +3 more
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QGOpt: Riemannian optimization for quantum technologies
SciPost Physics, 2021 Many theoretical problems in quantum technology can be formulated and addressed as constrained optimization problems. The most common quantum mechanical constraints such as, e.g., orthogonality of isometric and unitary matrices, CPTP property of ...
Ilia A. Luchnikov, Alexander Ryzhov, Sergey N. Filippov, Henni Ouerdane
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Constrained Optimization in Simulation: A Novel Approach [PDF]
SSRN Electronic Journal, 2008 This paper presents a novel heuristic for constrained optimization of random computer simulation models, in which one of the simulation outputs is selected as the objective to be minimized while the other outputs need to satisfy prespeci¯ed target values.
Van Nieuwenhuyse, Inneke +2 more
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Evolutionary approach for dynamic constrained optimization problems
Alexandria Engineering Journal, 2023 The number of research works on dynamic constrained optimization problems has been increasing rapidly over the past two decades. In this domain, many real-life decision problems need to be solved repeatedly with changing data and parameters.
Noha Hamza +3 more
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Certificates of infeasibility via nonsmooth optimization [PDF]
, 2015 An important aspect in the solution process of constraint satisfaction problems is to identify exclusion boxes which are boxes that do not contain feasible points.
Fendl, Hannes +2 more
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