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dc.contributor.authorJorge, Ariosto Bretanha-
dc.contributor.authorAnflor, Carla Tatiana Mota-
dc.contributor.authorGomes, Guilherme Ferreira-
dc.contributor.authorCarneiro, Sérgio Henrique da Silva-
dc.date.accessioned2022-04-18T10:38:38Z-
dc.date.available2022-04-18T10:38:38Z-
dc.date.issued2022-
dc.identifier.citationJORGE, Ariosto Bretanha; ANFLOR, Carla Tatiana Mota; GOMES, Guilherme Ferreira; CARNEIRO, Sérgio Henrique da Silva (ed.). Model-based and Signal-Based Inverse Methods. Brasília: Universidade de Brasília, 2022. viii, 535 p. (Discrete Models, Inverse Methods, & Uncertainty Modeling in Structural Integrity, v. 1). ISBN 978-65-86503-71-5. DOI: https://doi.org/10.4322/978-65-86503-71-5. Disponível em: https://livros.unb.br/index.php/portal/catalog/book/196. Acesso em: 18 abr. 2022.pt_BR
dc.identifier.isbn978-65-86503-71-5-
dc.identifier.urihttps://repositorio.unb.br/handle/10482/43477-
dc.language.isoPortuguêspt_BR
dc.publisherUniversidade de Brasíliapt_BR
dc.rightsAcesso Abertopt_BR
dc.titleModel-based and Signal-Based Inverse Methodspt_BR
dc.typeLivropt_BR
dc.subject.keywordEngenharia de materiaispt_BR
dc.subject.keywordMétodospt_BR
dc.subject.keywordModelospt_BR
dc.rights.license(CC BY NC ND) [Creative commons license].pt_BR
dc.identifier.doihttps://doi.org/10.4322/978-65-86503-71-5pt_BR
dc.description.abstract1This book series is an initiative of the Post Graduate Program in Integrity of Engineering Materials from UnB, organized as a collaborative work involving researchers, engineers, scholars, from several institutions, universities, industry, recognized both nationally and internationally. The book chapters discuss several direct methods, inverse methods and uncertainty models available for model-based and signal based inverse problems, including discrete numerical methods for continuum mechanics (Finite Element Method, Boundary Element Method, Mesh-Free Method, Wavelet Method). The different topics covered include aspects related to multiscale modeling, multiphysics modeling, inverse methods (Optimization, Identification, Artificial Intelligence and Data Science), Uncertainty Modeling (Probabilistic Methods, Uncertainty Quantification, Risk & Reliability), Model Validation and Verification. Each book includes an initial chapter with a presentation of the book chapters included in the volume, and their connection and relationship with regard to the whole setting of methods and models.pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-8631-1381-
dc.identifier.orcidhttps://orcid.org/0000-0003-3941-8335-
dc.identifier.orcidhttps://orcid.org/0000-0003-0811-6334-
dc.identifier.orcidhttps://orcid.org/0000-0001-6669-2255-
dc.description.unidadeFaculdade UnB Gama (FGA)-
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