http://repositorio.ufc.br/handle/riufc/48297 Thu, 11 Jun 2026 21:06:31 GMT 2026-06-11T21:06:31Z http://repositorio.ufc.br/handle/riufc/48390 Título: A one-dimensional least-square-consistent displacement-based meshless local Petrov-Galerkin method Autor(es): Sousa, Laise Lima de Carvalho; Oliveira, Suzana Matos França de; Vidal, Creto Augusto; Cavalcante Neto, Joaquim Bento Abstract: In recent years, the Meshless Local Petrov-Galerkin (MLPG) Method has attracted the attention of many researchers in solving several types of boundary value problems. This method is based on a local weak form, evaluated in local subdomains and does not require any mesh, either in the construction of the test and shape functions or in the integration process. However, the shape functions used in MLPG have complicated forms, which makes their computation and their derivative’s computation costly. In this work, using the Moving Least Square (MLS) Method, we dissociate the point where the approximating polynomial’s coefficients are optimized, from the points where its derivatives are computed. We argue that this approach not only is consistent with the underlying approximation hypothesis, but also makes computation of derivatives simpler. We apply our approach to a two-point boundary value problem, and perform several tests to support our claim. The results show that the proposed model is efficient, achieves good precision, and is attractive to be applied to other higher-dimension problems. Tipo: Relatório Tue, 01 Jan 2019 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/48390 2019-01-01T00:00:00Z