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Indefinite least-squares problems and pseudo-regularity
(Academic Press Inc Elsevier Science, 2015-10-15)
The indefinite least-squares problem has been thoroughly studied before under the assumption that the range of C is a uniformly J-positive subspace of K. Along this article the range of C is only supposed to be a J-nonnegative ...
A geometrical approach to indefinite least squares problems
(Springer, 2010-06)
Given Hilbert spaces H and K, a (bounded) closed range operator C : H → K and a vector y ∈ K, consider the following indefinite least squares problem: find u ∈ H such that h B(Cu − y), Cu − y i = minx∈H h B(Cx − y), Cx − ...
Equações de predição para estimar os valores energéticos de alimentos concentrados de origem vegetal para aves utilizando a metanálisePrediction equations to estimate the energy values of plant origin concentrate feeds for poultry utilizing the meta-analysis
(Sociedade Brasileira de Ictiologia, 2017)
Bifurcation And Multiplicity Results For Critical Nonlocal Fractional Laplacian Problems
(Elsevier Masson SAS, 2016)
Extension Of Gkb-fp Algorithm To Large-scale General-form Tikhonov Regularization
(John Wiley and Sons Ltd, 2014)
Pattern representations for classifying (non-)metric (non-)vectorial data with applications in Structural Health Monitoring and geotechnical/natural-hazard engineering
(Universidad Nacional de ColombiaManizales - Ingeniería y Arquitectura - Doctorado en Ingeniería - AutomáticaDepartamento de Ingeniería Eléctrica y ElectrónicaFacultad de Ingeniería y ArquitecturaManizales, ColombiaUniversidad Nacional de Colombia - Sede Manizales, 2022)
Nowadays, data-driven modelling in structural and geo-engineering problems using Statistical Pattern Recognition and Machine Learning provides powerful and more versatile tools within a predictive framework. In contrast ...
Development of algorithms to improve the technical efficiency of capturing, processing, and identification of EEG signals in the word imagery task
(Bogotá - Ingeniería - Doctorado en Ingeniería - Ingeniería EléctricaUniversidad Nacional de Colombia - Sede Bogotá, 2020-02-07)
A Brain-Computer Interface (BCI) system is a powerful tool that decodes signals from the brain and translates it into codes which are understood by software to perform a specific task. Through a BCI, a disabled person can ...