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This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing tech ...
In this paper, a novel hierarchical multirate control scheme for nonlinear discrete-time systems is presented, consisting of a robust nonlinear model predictive controller (NMPC) and a multirate sliding mode disturbance compensator (MSMDC). The proposed MS ...
At presynaptic active zones, neurotransmitter release is initiated by the opening of voltage-gated Ca²+ channels close to docked vesicles. The mechanisms that enrich Ca²+ channels at active zones are, however, largely unknown, possibly because of the limit ...
The catalytic gas phase hydrogenation of m-dinitrobenzene (1 atm, 423 K) over laboratory synthesised (1 mol%) Au supported on Al2O3, TiO2, Fe2O3 and CeO2 and a reference Au/TiO2 (World Gold Council) has been investigated. The catalysts were prepared by dep ...
Three different hybrid Vlasov-fluid systems are derived by applying reduction by symmetry to Hamilton's variational principle. In particular, the discussion focuses on the Euler-Poincare formulation of three major hybrid MHD models, which are compared in t ...
Most communication traffic in today’s System on Chips (SoC) is DRAM centric. The NoC should be designed to efficiently handle the many-to-one communication pattern, funneling to and from the DRAM controller. In this paper, we motivate the use of a separate ...
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We consider the problem of computing additively approximate Nash equilibria in noncooperative two-player games. We provide a new polynomial time algorithm that achieves an approximation guarantee of 0.36392. We first provide a simpler algorithm, that achie ...
In this paper we present a compact review on the mostly used techniques for computational reduction in numerical approximation of partial differential equations. We highlight the common features of these techniques and provide a detailed presentation of th ...
In this paper we propose a novel recursive algorithm that models the neighborhood mechanism, which is commonly used in self-organizing neural networks (NNs). The neighborhood can be viewed as a map of connections between particular neurons in the NN. Its r ...
We introduce a family of reductions for removing proper and homogeneous pairs of cliques from a graph G. This family generalizes some routines presented in the literature, mostly in the context of claw-free graphs. These reductions can be embedded in a sim ...
