Shape optimization of Maxwell eigenvalues via adjoint sensitivities on a reference domain, solved with a damped inverse BFGS method and mixed finite elements.
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A POD-RBF reduced-order model predicts 3D unsteady flow around cylinders with periodic inlet velocity changes, cutting CPU time by over 99% while keeping accuracy loss below 5.2%.
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Numerical Eigenvalue Optimization by Shape-Variations for Maxwell's Eigenvalue Problem
Shape optimization of Maxwell eigenvalues via adjoint sensitivities on a reference domain, solved with a damped inverse BFGS method and mixed finite elements.
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Reduced-order modelling of parametrized unsteady Navier-Stokes equations and application to flow around cylinders with periodic changing boundary conditions
A POD-RBF reduced-order model predicts 3D unsteady flow around cylinders with periodic inlet velocity changes, cutting CPU time by over 99% while keeping accuracy loss below 5.2%.