New Regularization Method for Calibrated POD Reduced-Order Models

Autor: Badr Abou El Majd, Laurent Cordier

Publikováno v: Mathematical Modelling and Analysis, Vol 21, Iss 1 (2016)

Reduced-order models based on Proper orthogonal decomposition are known to suffer from a lack of accuracy due to the truncation effect introduced by keeping only the most energetic modes. In this paper, we propose a new regularized calibration method

Externí odkaz: https://doaj.org/article/c6d5ebade7b44234b4b0a934172d0283

New regularization method for calibrated POD Reduced-Order Models

Autor: Laurent Cordier, Badr Abou El Majd

Publikováno v: Mathematical Modelling and Analysis
Mathematical Modelling and Analysis, Taylor&Francis and VGTU, 2016, 21 (1), pp.47-62. ⟨10.3846/13926292.2016.1132486⟩
Mathematical Modelling and Analysis; Vol 21 No 1 (2016); 47-62
Mathematical Modelling and Analysis, Vol 21, Iss 1 (2016)

International audience; Reduced-order models based on Proper Orthogonal Decomposition are known to suffer from a lack of accuracy due to the truncation effect introduced by keeping only the most energetic modes. In this paper, we propose a new regula

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dea65326de974bf0ff48e0c31ec93d03
https://hal.archives-ouvertes.fr/hal-01262583v2/document

Parâmetro de regularização em problemas inversos: estudo numérico com a transformada de Radon

Autor: Pereira, Ivanildo Freire

Publikováno v: Repositório Institucional da UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior In general, an inverse problem corresponds to find a value of an element x in a suitable vector space, given a vector y measuring it, in some sense. When we discretize the problem, it us

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::ff511822e7096d2a8ee6d920c9913f7d
https://repositorio.ufrn.br/jspui/handle/123456789/18649