TY  - GEN 
AU  - Constanzo, S.
AU  - Sayadi, T.
AU  - Fosas de Pando, Miguel Ángel
AU  - Schmid, P. J.
AU  - Frey, P.
A4  - Ingeniería Mecánica y Diseño Industrial
PY  - 2022
SN  - 0021-9991
UR  - http://hdl.handle.net/10498/32234
AB  - Gradient-based optimization algorithms, where gradient information is extracted using adjoint equations, are efficient but can quickly slow down when applied to unsteady and nonlinear flow problems. This is mainly due to the sequential nature of the...
LA  - eng
PB  - Elsevier
KW  - Adjoint-based methods
KW  - Flow control
KW  - Parallel-in-time algorithm
TI  - Parallel-in-time adjoint-based optimization – application to unsteady incompressible flows
DO  - https://doi.org/10.1016/j.jcp.2022.111664
ER  -