Urgency 发表于 2025-3-25 05:54:51

K. G. Srinivasa,Siddesh G. M.,Srinidhi H.iables. It accounts for the question which knowledge states have to be expected when specified analysis-based learning mechanisms are applied to given instructional information. The Sepia model shows which and how qualitative physics knowledge facilitates quantitative physics problem solving. Sepia

PANG 发表于 2025-3-25 10:17:50

lerance for free dimensions and mating dimensions. Finally, it explains the classification of materials, material mechanical properties, definitions of mechanical failures, typical failure modes, and typical failure theories for ductile and brittle materials. Therefore, this chapter is a concise sum

licence 发表于 2025-3-25 15:35:50

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Meager 发表于 2025-3-25 18:10:42

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蚀刻术 发表于 2025-3-25 21:51:30

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卷发 发表于 2025-3-26 03:19:37

K. G. Srinivasa,Siddesh G. M.,Srinidhi H.nteraction by the acquisition of usage patterns. Thus, the three Sects. ., ., and . will present the state-of-the-art which is related to Chap. .. Section . will describe existing approaches for describing interactions between human users and interactive dialogue systems. Existing approaches for the

澄清 发表于 2025-3-26 05:45:26

K. G. Srinivasa,Siddesh G. M.,Srinidhi H.e of low-fidelity modeling, including the low-fidelity model setup and finding a proper balance between the model speed and accuracy. More detailed exposition of various response correction methods and their applications for solving computationally expensive design problems in various engineering fi

Adulate 发表于 2025-3-26 10:48:30

K. G. Srinivasa,Siddesh G. M.,Srinidhi H.on using response correction techniques can be enhanced with adjoint sensitivities. In particular, we start by discussing how to incorporate derivative data into the surrogate modeling and optimization process. Then, we provide the formulations for adjoint-enhanced versions of space mapping (Chap. .

猛击 发表于 2025-3-26 13:35:25

ty. This chapter provides a firefly algorithm-driven simulation-optimization approach for MGA that can efficiently create multiple solution alternatives to problems containing significant stochastic uncertainties that satisfy required system performance criteria and yet are maximally different in th

insecticide 发表于 2025-3-26 19:21:08

Introduction to Data Analyticse analytical architecture is first discussed. It is later followed by the different phases that are involved in the lifecycle of the data analytics project and the interconnection of Big data and Hadoop ecosystem.
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查看完整版本: Titlebook: Network Data Analytics; A Hands-On Approach K. G. Srinivasa,Siddesh G. M.,Srinidhi H. Book 2018 Springer International Publishing AG 2018