SiMPL uses Bregman divergences from mirror descent to enforce point-wise polytopal material constraints in topology optimization, with global constraints solved via a dual problem.
International Journal for Numerical Methods in Engineering , volume =
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A tractable ensemble distributionally robust Bayesian optimization method achieves improved sublinear regret bounds under context uncertainty.
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The SiMPL Method for Multi-Material Topology Optimization
SiMPL uses Bregman divergences from mirror descent to enforce point-wise polytopal material constraints in topology optimization, with global constraints solved via a dual problem.
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Ensemble Distributionally Robust Bayesian Optimisation
A tractable ensemble distributionally robust Bayesian optimization method achieves improved sublinear regret bounds under context uncertainty.