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Solving the interval eigenvalue problem via optimization and constraint interval theory

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Autor(es):
Mizukoshi, Marina Tuyako ; Neto, Luiz Leduino Salles ; Lodwick, Weldon Alexander
Número total de Autores: 3
Tipo de documento: Artigo Científico
Fonte: COMPUTATIONAL & APPLIED MATHEMATICS; v. 45, n. 4, p. 26-pg., 2025-12-18.
Resumo

This study develops the theory and numerical methods for solving the interval eigenvalue problem by optimizing the Constraint Interval Representation (CIR) of the problem that improves the computed results with respect to the accuracy compared to previous methods. The CIR is able to represent how the elements in the matrix are connected. Short example problems demonstrate the accuracy of the theory to find boundaries for interval eigenvalues and their associated matrices. While the real interval eigenvalue problem is a subset of the complex interval eigenvalue case, we develop each case separately. Indications of how to go from interval methods to the fuzzy eigenvalue problem are mentioned but not developed. Issues of complexity are discussed in terms of the complexity of the optimization methods that are used. (AU)

Processo FAPESP: 23/08706-1 - Métodos computacionais de otimização
Beneficiário:Ernesto Julián Goldberg Birgin
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 24/22444-2 - Inovação em Monitoramento Hídrico na Amazônia: Catalogação e integração de dados de campo a tecnologias emergentes para predição de parâmetros de qualidade de água no estuário da Baía do Marajó-PA
Beneficiário:Luiz Leduíno de Salles Neto
Modalidade de apoio: Auxílio à Pesquisa - Regular