On Global Linear Convergence in Stochastic Nonconvex Optimization for Semidefinite Programming
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DOI: 10.1109/tsp.2019.2925609
Abstract: Nonconvex reformulations via low-rank factorization for stochastic convex semidefinite optimization problem have attracted arising attention due to their empirical efficiency and scalability. Compared with the original convex formulations, the nonconvex ones typically involve much fewer… read more here.
Keywords: global linear; optimization; linear convergence; convergence stochastic ... See more keywords
Global Linear Parameter-Varying Modeling of Flapping-Wing Dynamics Using Flight Data
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DOI: 10.2514/1.g003505
Abstract: Taking full advantage of the favorable flight properties of biologically inspired flapping-wing micro aerial vehicles requires having insight into their dynamics and providing adequate control in a... read more here.
Keywords: varying modeling; flapping wing; linear parameter; global linear ... See more keywords