Results 11 to 20 of about 141,498 (264)
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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Constrained Optimization in the Presence of Noise
SIAM Journal on Optimization, 2023 The problem of interest is the minimization of a nonlinear function subject to nonlinear equality constraints using a sequential quadratic programming (SQP) method. The minimization must be performed while observing only noisy evaluations of the objective and constraint functions.
Figen Öztoprak +2 more
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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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Constrained Optimization by the α Constrained Particle Swarm Optimizer
Journal of Advanced Computational Intelligence and Intelligent Informatics, 2005 In this study, α constrained particle swarm optimizer αPSO, which is the combination of the α constrained method and particle swarm optimization, is proposed to solve constrained optimization problems. The α constrained methods can convert algorithms for unconstrained problems to algorithms for constrained problems using the α level comparison, which ...
Tetsuyuki Takahama, Setsuko Sakai
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Improved Whale Optimization Algorithm for Solving Constrained Optimization Problems
Discrete Dynamics in Nature and Society, 2021 In view of the shortcomings of the whale optimization algorithm (WOA), such as slow convergence speed, low accuracy, and easy to fall into local optimum, an improved whale optimization algorithm (IWOA) is proposed.
Gui-Ying Ning, Dun-Qian Cao
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Approximate Inference and Constrained Optimization [PDF]
CoRR, 2003 Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003)
Heskes, T., Albers, C.A., Kappen, H.J.
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Design of High-Performance Magnetorquer with Air Core for CubeSat [PDF]
Xibei Gongye Daxue Xuebao, 2018 To solve the problem that how to design a big magnetic moment, small size, light weight, low power consumption magnetorquer with air core under the constraint of limited volume and power in CubSate, multiobjective optimization design method is used ...
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