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Titlebook: Sparse Grids and Applications; Jochen Garcke,Michael Griebel Conference proceedings 2013 Springer-Verlag Berlin Heidelberg 2013 adaptivity

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楼主: injurious
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ry functions (e.g., metabolite-binding RNAs, transcription regulation, chromosome replication). Thus, rather than only serving as mediators between the hereditary material and the cell’s workhorses (proteins), RNAs have essential regulatory roles. This finding has stimulated a search for small funct
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Intraday Foreign Exchange Rate Forecasting Using Sparse Grids,conventional grids. The sparse grid solution is then obtained by linear combination of the solutions on these grids. We give the results of this approach to . forecasting using real historical exchange data of the Euro, the US dollar, the Japanese Yen, the Swiss Franc and the British Pound from 2001 to 2005.
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Dimension- and Time-Adaptive Multilevel Monte Carlo Methods,d especially for non-Lipschitz payoff functions whose weak and strong order of convergence is reduced when the Euler-Maruyama method is used to discretize the underlying SDE. The numerical results show that for barrier and double barrier options the convergence order for smooth payoffs can be recovered in these cases.
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The Use of Sparse Grid Approximation for the ,-Term Tensor Representation,rank requires an approximation of the tensors (functions). In particular, function approximations like polynomial interpolation may lead to such representations. Here, we exploit the sparse grid approximation. We show that the involved rank is not the sparse grid complexity . but .
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