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Topics for Fall semester 2019
- Deterministic and stochastic gradient methods for optimization under uncertainty; application to fluid flow control
- Robust optimization methods based on Gaussian Process Regression and expected improvement
- Approximation of parametric time harmonic equations by adaptive rational model order reduction; application to frequency response function approximation of acoustic or electromagnetic problems