Results 31 to 40 of about 3,171,504 (308)
Optimization and Optimizers for Adversarial Robustness
Empirical robustness evaluation (RE) of deep learning models against adversarial perturbations entails solving nontrivial constrained optimization problems. Existing numerical algorithms that are commonly used to solve them in practice predominantly rely on projected gradient, and mostly handle perturbations modeled by the $\ell_1$, $\ell_2$ and $\ell_\
Hengyue Liang +5 more
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Constrained ear decompositions in graphs and digraphs [PDF]
Ear decompositions of graphs are a standard concept related to several major problems in graph theory like the Traveling Salesman Problem. For example, the Hamiltonian Cycle Problem, which is notoriously N P-complete, is equivalent to deciding whether a ...
Frédéric Havet, Nicolas Nisse
doaj +1 more source
Optimization Library for Interactive Multi-Criteria Optimization Tasks [PDF]
The commercial library Optimization 2.1 for interactive multi-criteria optimization tasks has been released along with Dymola 2013. The library offers several numerical optimization algorithms for solving different kinds of optimization tasks.
Pfeiffer, Andreas, Andreas Pfeiffer
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Despite tyrosine sulfation being a relatively common post-translational modification (PTM) on the secreted proteins of higher eukaryotic organisms, there have been surprisingly few reports of this modification occurring in recombinant monoclonal ...
Christopher B. Lietz +8 more
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Optimizing microservices with hyperparameter optimization
In the last few years, the cloudification of applications requires new concepts and techniques to fully reap the benefits of the new computing paradigm. Among them, the microservices architectural style, which is inspired by service-oriented architectures, has gained attention from both industry and academia.
Hai Dinh-Tuan +2 more
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Empipe™ User’s Manual Version 4.0 -- PC
Empipe is a powerful and friendly software system for automated electromagnetic (EM) design optimization, driving the EM simulator em. Empipe allows you to designate geometrical and material parameters as candidate variables for optimization in an ...
Bandler, John W. +3 more
core +2 more sources
Empipe™ User’s Manual Version 4.0 -- UNIX
Empipe is a powerful and friendly software system for automated electromagnetic (EM) design optimization, driving the EM simulator em. Empipe allows you to designate geometrical and material parameters as candidate variables for optimization in an ...
Bandler, John W. +3 more
core +2 more sources
Re-design of microwave passive components for the assumed operating frequencies or substrate parameters is an important yet a tedious process. It requires simultaneous tuning of relevant circuit variables, often over broad ranges thereof, to ensure ...
Slawomir Koziel +1 more
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Development of spatially variant photonic crystals to control light in the near-infrared spectrum
Spatially Variant Photonic Crystals (SVPCs) have shown the ability to control the propagation and direction of light in the near-infrared spectrum. Using a novel approach for simplified modeling and fabrication techniques, we designed unique, spatially ...
Andrew Volk +5 more
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9 pages, 4 figures. Accompanying paper of arXiv:2111.12130.
Kamil Korzekwa, Matteo Lostaglio
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