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Thin-layer detection using spectral inversion and a genetic algorithm
(UNIVERSIDAD NACIONAL DE COLOMBIA, 2011)
Spectral inversion using a genetic algorithm (GA) as an optimisation approach was used for increasing the seismic resolution of a particular dataset; by contrast with the conjugate gradient method, a GA does not require a ...
Schwarz preconditioners for the spectral element discretization of the steady Stokes and Navier-Stokes equations
(Springer-verlagNew YorkEUA, 2001)
Area-Wide Prediction of Vertebrate and Invertebrate Hole Density and Depth across a Climate Gradient in Chile Based on UAV and Machine Learning
(MDPI, 2021)
Burrowing animals are important ecosystem engineers affecting soil properties, as their burrowing activity leads to the redistribution of nutrients and soil carbon sequestration. The magnitude of these effects depends on ...
Inexact restoration method for minimization problems arising in electronic structure calculations
(SpringerNew YorkEUA, 2011)
Algorithmic advances for the adjacency spectral embedding
(IEEE, 2022)
The Random Dot Product Graph (RDPG) is a popular generative graph model for relational data. RDPGs postulate there exist latent positions for each node, and specifies the edge formation probabilities via the inner product ...
Quantitative Spectroscopy of 24 A Supergiants in the Sculptor Galaxy NGC 300: Flux-weighted Gravity-Luminosity Relationship, Metallicity, and Metallicity Gradient
(2008)
A quantitative spectral analysis of 24 A supergiants in the Sculptor Group spiral galaxy NGC 300 at a distance of 1.9 Mpc is presented. A new method is introduced to analyze low resolution (~5 AE) spectra, which yields ...