Work

Multipenalty and composed merit functions in Tikhonov-type regularization applied to atmospheric source identification problems

Year: 2024

Type: article

Abstract: We propose a technique to simplify the minimization of the objective function arising in Tikhonov-type regularization when there are multiple observations, like multiphysics identification problems, and multiple penalty terms. It breaks the original problem into two or more minimizations that are performed sequentially and recursively. In this preliminary work, we consider the case of two minimization steps. We apply the estimation technique to the identification of pollutant emission sources in the atmosphere, considering the data from the Copenhagen experiment.

Source: Ciência e Natura

DOI: 10.5902/2179460x86857

Authors: Roseane Alves de Souza Albani, Vinícius Viana Luiz Albani, Antônio José da Silva Neto

Institutions: Universidade do Estado do Rio de Janeiro, Universidade Federal de Santa Catarina

Language: English

Topic: Numerical methods in inverse problems

Subfield: Mathematical Physics

Field: Mathematics

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4404141386

FWCI:

Cites: 14

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Related to: 10