Titlebook: Numerical Treatment of the Navier-Stokes Equations; Proceedings of the F Wolfgang Hackbusch,Rolf Rannacher Conference proceedings 1990 Spri

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A. Schüller of the sensors is optimized so that we get the largest possible amount of useful data from these sensors. Traditionally, most data comes from stationary sensors, i.e., sensors which we place at fixed locations. For such sensors, it is important to come up with the optimal placement, the placement w

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T. M. Shah,D. F. Mayers,J. S. Rollettges of system design, implementation, testing and monitoringThis book is intended for specialists in systems engineering interested in new, general techniques and for students and practitioners interested in using these techniques for solving specific practical problems. For many real-world, complex

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ion, which is, however, usually unrealistic. In our work, we deploy simultaneous localisation and mapping (SLAM)-based self-localisation for mapless navigation. SLAM performance is prone to the quality of perceived features of the surroundings. This work presents a Reinforcement Learning (RL)-based

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Parallelization of Robust Multi-Grid Methods: ILU Factorization and Frequency Decomposition Method,re described: the standard multi-grid algorithm with ILU smoothing, and the frequency decomposition method. The parallelization on a MIMD computer is presented, together with results for the speedup obtained. The methods are compared with a standard parallel multi-grid algorithm using a Gau?-Seidel

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The Influence of Reentrant Corners in the Numerical Approximation of Viscous Flow Problems,the corner singularities is localized to a relatively small neighborhood of the irregular points, depending on the geometry of the domain. However, for problems with strong convection one has to expect some downstream pollution. On the basis of an asymptotic expansion of the discretization error, th