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Titlebook: Regularity and Stochasticity of Nonlinear Dynamical Systems; Dimitri Volchenkov,Xavier Leoncini Book 2018 Springer International Publishin

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樓主: CHARY
31#
發(fā)表于 2025-3-26 22:02:24 | 只看該作者
32#
發(fā)表于 2025-3-27 01:23:35 | 只看該作者
Regularity and Stochasticity of Nonlinear Dynamical Systems978-3-319-58062-3Series ISSN 2195-9994 Series E-ISSN 2196-0003
33#
發(fā)表于 2025-3-27 06:31:33 | 只看該作者
Solvability of Some Integro-Differential Equations with Anomalous Diffusion,The paper deals with the existence of solutions of an integro-differential equation in the case of the anomalous diffusion with the Laplace operator in a fractional power. The proof of existence of solutions relies on a fixed point technique. Solvability conditions for elliptic operators without Fredholm property in unbounded domains are used.
34#
發(fā)表于 2025-3-27 10:09:51 | 只看該作者
35#
發(fā)表于 2025-3-27 14:11:43 | 只看該作者
Nonlinear Systems and Complexityhttp://image.papertrans.cn/r/image/825561.jpg
36#
發(fā)表于 2025-3-27 20:37:06 | 只看該作者
37#
發(fā)表于 2025-3-28 00:28:11 | 只看該作者
Collective Resonant Phenomena On Small Bodies In The Solar System, asteroids both mean motion resonances and secular resonances not only structure the phase space of regular orbits but are mainly at the origin for the inherent chaos of planet crosser objects..For comets and their chaotic routes temporary trapping into orbital resonances is a well known phenomenon.
38#
發(fā)表于 2025-3-28 05:24:20 | 只看該作者
39#
發(fā)表于 2025-3-28 09:13:18 | 只看該作者
über die Ideologieanf?lligkeit psychiatrischer Theorien oder warum es zwischen Emil Kraepelin und der Psychoanalyse keinen Dialog gabchtige Figur werfen, andererseits aber diese historische Perspektive auf die Gegenwart beziehen und so die Praxisrelevanz vermeintlich ?nur? theoretischer überlegungen aufzeigen. Im Vordergrund werden die Person und vor allem das Werk Emil Kraepelins stehen. Dabei wird in exemplarischer Weise auch s
40#
發(fā)表于 2025-3-28 13:54:20 | 只看該作者
Data Poisoning Attacks on Crowdsourcing Learning trained from crowdsourced labeled data. Existing studies on data poisoning attacks only focus on exploring the vulnerability of crowdsourced label collection. In fact, instead of the quality of labels themselves, the performance of the trained classifier is a main concern in crowdsourcing learning.
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