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Titlebook: Wave Propagation in Infinite Domains; With Applications to Lutz Lehmann Book 2007 Springer-Verlag Berlin Heidelberg 2007 Turbine.algorithm.

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21#
發(fā)表于 2025-3-25 04:17:49 | 只看該作者
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發(fā)表于 2025-3-25 08:02:00 | 只看該作者
https://doi.org/10.1007/3-540-71109-0Turbine; algorithm; algorithms; model; simulation; wave equation
23#
發(fā)表于 2025-3-25 13:50:46 | 只看該作者
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發(fā)表于 2025-3-25 17:41:11 | 只看該作者
1613-7736 inite domains.Introduces a near-field part mapped via the FEWave propagation in infinite or unbounded domains is often encountered in scientific and engineering applications. Theoretical fundamentals and applications of a new numerical model which has the ability to simulate such wave propagation ar
25#
發(fā)表于 2025-3-25 20:47:46 | 只看該作者
udes a practical case study that highlights the utilization of Python and related libraries for running a pre-trained deep learning model...In recent years, deep learning-based modeling approaches have been used in a wide variety of engineering domains, such as autonomous cars, intelligent robotics,
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發(fā)表于 2025-3-26 01:24:06 | 只看該作者
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發(fā)表于 2025-3-26 04:56:15 | 只看該作者
y their nature, often involve unpredictable human actions and machine failures. The process of resource sharing (which provides an important motivation for studying DES) is inherently characterized by such unpredictability: changing user demand, computer breakdowns, inconsistencies in human decision
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發(fā)表于 2025-3-26 11:04:00 | 只看該作者
29#
發(fā)表于 2025-3-26 14:12:09 | 只看該作者
3. Self-stabilization characterizes the ability of a distributed algorithm to converge within finite time to a configuration from which its behavior is correct (i.e., satisfies a given specification), regardless the arbitrary initial configuration of the system. This arbitrary initial configuration
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發(fā)表于 2025-3-26 20:00:12 | 只看該作者
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