Interim 发表于 2025-3-23 11:29:50

The Application of Modeling for Irregular Objects in the Heavy Driving Simulation Systemablishing the models of irregular objects in the particle system. In order to cut down the computation time of the particle system, it reasonably sets up relevant parameters in the system, which improves the system’s real-time performance and field simulation effects of the system.

让你明白 发表于 2025-3-23 16:50:18

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食草 发表于 2025-3-23 20:14:41

Alexandre Ern,Jean-Luc Guermondpendence relationship in complex networks, high DDE indicates complex degree dependence relationship, low DDE indicates the opposite one, and the DDE can be seen as a quantitative statistical characteristic, which is meaningful for networked modeling and simulation.

infinite 发表于 2025-3-24 00:11:28

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gimmick 发表于 2025-3-24 03:34:49

Alexandre Ern,Jean-Luc Guermondd efficient to mine the casual relationships hidden in the data resources by using the hybrid algorithm DE-SQP and the construction of FCMs gets rid of the intervention of domain experts, which guarantees the objectivity and completeness of the FCMs.

Mutter 发表于 2025-3-24 07:26:15

Alexandre Ern,Jean-Luc Guermondllel method, the 3D EME simulation can be paralleled from the three levels: job parallel, task parallel, thread parallel, and it is used to accelerate the computation process dramatically in order to calculate faster.

配偶 发表于 2025-3-24 10:44:18

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theta-waves 发表于 2025-3-24 17:11:30

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尽责 发表于 2025-3-24 22:15:09

Towards a Course of Action Probability Ontology for Logistic Supply Destruction Operationain-specific classes that convey the equivalent of what a standard ontology is constructed beyond the COA ontology. This paper has proposed the preliminary design of a case of the logistic supply destruction operation (LSDO) for using probabilistic ontology to find effective courses of action.

addition 发表于 2025-3-25 01:37:01

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查看完整版本: Titlebook: AsiaSim 2012 - Part III; Asia Simulation Conf Tianyuan Xiao,Lin Zhang,Minrui Fei Conference proceedings 2012 Springer-Verlag Berlin Heidelb