Trabajo Fin de Máster
Método POD y aplicaciones : caso discreto y continuo
Autor/es | Bernardino del Pino, Manuel |
Director | Gómez Mármol, María Macarena
Rubino, Samuele |
Departamento | Universidad de Sevilla. Departamento de Ecuaciones Diferenciales y Análisis Numérico |
Fecha de publicación | 2021-03 |
Fecha de depósito | 2022-06-17 |
Titulación | Universidad de Sevilla. Grado en Matemáticas |
Resumen | The proper orthogonal decomposition (POD) is a technique that aims at obtaining a
compact representation of the data reducing the computational cost. The key idea of
the POD is to reduce a large number of interdependent ... The proper orthogonal decomposition (POD) is a technique that aims at obtaining a compact representation of the data reducing the computational cost. The key idea of the POD is to reduce a large number of interdependent variables to a much smaller number of uncorrelated variables while retaining as much as possible of the variation in the original variables. This method has been gaining popularity over the years and it is being used to detect the number of signals in a multichannel time-series, for forecasting in meteorology or for the design of gurney flaps, among others. In this work, a theoretical study is carried out on this method in both the continuous and the discrete cases, the effective calculation is exposed and two numerical simulations are made; one for each of the two cases mentioned above. |
Cita | Bernardino del Pino, M. (2021). Método POD y aplicaciones : caso discreto y continuo. (Trabajo Fin de Máster Inédito). Universidad de Sevilla, Sevilla. |
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