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Estimation of hydraulic conductivity functions in karst regions by particle swarm optimization with application to Lake Vrana, Croatia [PDF]
Hydrology and Earth System Sciences, 2023 To examine the effectiveness of various technical solutions for minimizing the adverse effects of saltwater intrusion in Lake Vrana, Croatia, a reliable mathematical model for describing the exchange of fresh- and saltwater between the lake and its ...
V. Travaš +3 more
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A Self-Parametrization Framework for Meta-Heuristics
Mathematics, 2022 Even while the scientific community has shown great interest in the analysis of meta-heuristics, the analysis of their parameterization has received little attention.
André S. Santos +2 more
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Natural-gradient learning for spiking neurons
eLife, 2022 In many normative theories of synaptic plasticity, weight updates implicitly depend on the chosen parametrization of the weights. This problem relates, for example, to neuronal morphology: synapses which are functionally equivalent in terms of their ...
Elena Kreutzer +2 more
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Enhancing Airfoil Performance through Artificial Neural Networks and Genetic Algorithm Optimization [PDF]
INCAS Bulletin, 2023 As airfoil design plays a crucial role in achieving superior aerodynamic performances, optimization has become an essential part in various engineering applications, including aeronautics and wind energy production.
Mara-Florina NEGOITA +3 more
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Parametric search made practical [PDF]
Proceedings of the eighteenth annual symposium on Computational geometry, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
van Oostrum, R.W., Veltkamp, R.C.
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Weak decays of triply heavy baryons in light front approach
Physics Letters B, 2022 We analyze weak decays of triply heavy baryon Ωccc++ and calculate the form factors for Ωccc++→Ξcc++/Ωcc+ transitions in a light front quark model. The momentum distributions in form factors are accessed via the pole-model parametrization.
Wei Wang, Zhi-Peng Xing
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Machine learning universal bosonic functionals
Physical Review Research, 2021 The one-body reduced density matrix γ plays a fundamental role in describing and predicting quantum features of bosonic systems, such as Bose-Einstein condensation.
Jonathan Schmidt +2 more
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Ray Shooting and Parametric Search [PDF]
SIAM Journal on Computing, 1992 Summary: Efficient algorithms for the ray shooting problem are presented: Given a collection \(\Gamma\) of objects in \(\mathbb{R}^ d\), build a data structure so that, for a query ray, the first object of \(\Gamma\) hit by the ray can be quickly determined. Using the parametric search technique, this problem is reduced to the segment emptiness problem.
Agarwal, Pankaj K., Matoušek, Jiří
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Parametric Models of Local Search Progression [PDF]
SSRN Electronic Journal, 2008 AbstractAlgorithms that search for good solutions to optimization problems present a trace of current best objective values over time. We describe an empirical study of parametric models of this progression that are both interesting as ways to characterize the search progression compactly and useful as means of predicting search behavior.
Johan Oppen, David L. Woodruff
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CKM substructure from the weak to the Planck scale
Journal of High Energy Physics, 2022 We look for relations among CKM matrix elements that are not consequences of the Wolfenstein parametrization. In particular, we search for products of CKM elements raised to integer powers that approximately equal 1.
Yuval Grossman +3 more
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