1999
DOI: 10.1002/(sici)1097-0363(19990915)31:1<53::aid-fld955>3.0.co;2-z
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Sensitivities, adjoints and flow optimization

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Cited by 67 publications
(23 citation statements)
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“…The adjoint was constructed directly from the source code of the original discrete nonlinear model, circumventing di culties that would appear if one were to ÿrst obtain the continuous adjoint model and then discretize the adjoint equations (for more about the di erences between the di erentiate-then-discretize approach and the discretize-then-di erentiate approach see Gunzburger [46]). …”
Section: Introductionmentioning
confidence: 99%
“…The adjoint was constructed directly from the source code of the original discrete nonlinear model, circumventing di culties that would appear if one were to ÿrst obtain the continuous adjoint model and then discretize the adjoint equations (for more about the di erences between the di erentiate-then-discretize approach and the discretize-then-di erentiate approach see Gunzburger [46]). …”
Section: Introductionmentioning
confidence: 99%
“…Similarly, ∇ u w λ and ∇ T w λ de¦ne the sensitivity of the eigenvalue to a wall velocity and temperature. The analytical expression of these gradients is derived using a Lagrangian method relying on the de¦nition of adjoint variables, an approach similar to that widely used in the context of optimization problems [6]:…”
Section: Progress In Flight Physicsmentioning
confidence: 99%
“…Such an approach is classically used in flow control and optimization problems. 46,47 It is worthwhile noting that although the definition of the gradients depends on the choice of the inner product through the computation of the adjoint quantities, the eigenvalue variation computed from Eq. ͑16͒ does not.…”
Section: -5mentioning
confidence: 99%