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Titlebook: Neuroinformatics; Chiquito Joaqium Crasto,Stephen H. Koslow Book 2007 Humana Press 2007 Alzheimer.imaging techniques.neural network.neurob

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51#
發(fā)表于 2025-3-30 09:30:24 | 只看該作者
52#
發(fā)表于 2025-3-30 16:25:11 | 只看該作者
rids, the hierarchical basis formulation of the direct sparse grid approach conveniently provides a reasonable criterion for spatially adaptive refinement practically for free. This can serve as a starting point to develop suitable modifications. We show several problems stemming from different fiel
53#
發(fā)表于 2025-3-30 18:16:56 | 只看該作者
54#
發(fā)表于 2025-3-31 00:00:13 | 只看該作者
55#
發(fā)表于 2025-3-31 04:45:03 | 只看該作者
Douglas A. Baxter,John H. Byrneension-adaptive interpolants proved superior in terms of accuracy and required computational cost. The second test case is a fluid-structure interaction problem with five stochastic inputs, in which we quantify the uncertainty at two instances in the time domain. The dimensionality is reduced from f
56#
發(fā)表于 2025-3-31 06:17:01 | 只看該作者
57#
發(fā)表于 2025-3-31 12:23:18 | 只看該作者
Astrid A. Prinznteed as a result of the wavelet basis having the Riesz property. This property provides an additional lower bound estimate for the wavelet coefficients that are used to guide the adaptive grid refinement, resulting in the sg-AWSCM requiring a significantly reduced number of deterministic simulation
58#
發(fā)表于 2025-3-31 15:55:10 | 只看該作者
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