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Titlebook: Applied Nonlinear Analysis and Soft Computing; Proceedings of ANASC Hemen Dutta,Nazibuddin Ahmed,Ravi P. Agarwal Conference proceedings 202

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發(fā)表于 2025-3-21 18:44:03 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Applied Nonlinear Analysis and Soft Computing
期刊簡(jiǎn)稱Proceedings of ANASC
影響因子2023Hemen Dutta,Nazibuddin Ahmed,Ravi P. Agarwal
視頻videohttp://file.papertrans.cn/160/159997/159997.mp4
發(fā)行地址Includes research works in the field of applied nonlinear analysis and soft computing.Includes original works presented at ANASC 2020 held in Gauhati University, India.Serves as a reference for resear
學(xué)科分類Advances in Intelligent Systems and Computing
圖書封面Titlebook: Applied Nonlinear Analysis and Soft Computing; Proceedings of ANASC Hemen Dutta,Nazibuddin Ahmed,Ravi P. Agarwal Conference proceedings 202
影響因子.The volume contains original research papers as the Proceedings of the International Conference on Applied Nonlinear Analysis and Soft Computing (ANASC 2020), held at Gauhati University, Guwahati, India, on 22-23 December, 2020. It focuses on current research topics in applied analysis including nonlinearity, soft computing and related areas. It primarily includes topics related to pattern recognition, reaction-diffusion problem, decision making problems, inventory model, predator-prey model, logistic models, wave problems, problems in Magnetohydrodynamics, cosmological model, harmonic functions, graphs, shapes, etc. ?...Researchers, educators, scientist and professionals interested in recent developments in applied analysis including nonlinearity aspects and soft computing should be benefited from this volume..
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,A Probabilistic Fitting Technique to?Calibrate a?Logistic Model to?Study the?Growth of?Breast Tumorto data and their uncertainty using the Principle of Maximum Entropy. A computational technique where, repeatedly, data samples are generated from data’s PDF and used to calibrate the model allows us to provide a stack of sets of model parameter values, whose output is around the data, and their unc
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https://doi.org/10.1007/978-3-322-83969-5s also studied separately considering the dust ion collision effect. To check the behaviors of IAW in a collisional plasma, the damped Korteweg-de Vries-Burgers (DKdVB) equation is already derived in an earlier literature in which using conservation law, only the solitary wave solution is derived fo
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https://doi.org/10.1007/978-3-662-25845-3to data and their uncertainty using the Principle of Maximum Entropy. A computational technique where, repeatedly, data samples are generated from data’s PDF and used to calibrate the model allows us to provide a stack of sets of model parameter values, whose output is around the data, and their unc
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Begriffliche und konzeptionelle Grundlagen,position of the magnetic field. Further, fluid temperature rises under the effect of magnetic field. The thermal diffusion effect causes the fluid concentration to rise steadily. An increase in Schmidt number results in a steady fall in fluid concentration. That is fluid concentration rises for incr
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