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Titlebook: Current Problems in Applied Mathematics and Computer Science and Systems; Anatoly Alikhanov,Pavel Lyakhov,Irina Samoylenko Conference proc

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發(fā)表于 2025-3-21 19:00:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Current Problems in Applied Mathematics and Computer Science and Systems
編輯Anatoly Alikhanov,Pavel Lyakhov,Irina Samoylenko
視頻videohttp://file.papertrans.cn/242/241279/241279.mp4
概述Includes research materials on modern mathematical problems and solutions in the field of scientific computing.Results from the International Conference on Actual Problems of Applied Mathematics and C
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Current Problems in Applied Mathematics and Computer Science and Systems;  Anatoly Alikhanov,Pavel Lyakhov,Irina Samoylenko Conference proc
描述This book is based on the best papers accepted for presentation during the International Conference on Actual Problems of Applied Mathematics and Computer Systems (APAMCS-2022), Russia. The book includes research materials on modern mathematical problems, solutions in the field of scientific computing, data analysis and modular computing. The scope of numerical methods in scientific computing presents original research, including mathematical models and software implementations, related to the following topics: numerical methods in scientific computing; solving optimization problems; methods for approximating functions, etc. The studies in data analysis and modular computing include contributions in the field of deep learning, neural networks, mathematical statistics, machine learning methods, residue number system and artificial intelligence. Finally, the book gives insights into the fundamental problems in mathematics education. The book intends for readership specializing in the field of scientific computing, parallel computing, computer technology, machine learning, information security and mathematical education.
出版日期Conference proceedings 2023
關(guān)鍵詞Scientific Computing; Differential Equations; Modular Computing; Data Analysis; Deep Learning; Residue Nu
版次1
doihttps://doi.org/10.1007/978-3-031-34127-4
isbn_softcover978-3-031-34126-7
isbn_ebook978-3-031-34127-4Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Drucker einrichten und verwalten,the metal-organic interface make it possible to create materials with practically useful properties used in catalysis, energy storage, electronics, gas storage and separation, magnetism, nonlinear optics, etc. Knowing the course of the potential at the phase interface, it is possible to obtain inter
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Drucker einrichten und verwalten,al methods by interpreting approximate data in the problem of correctly restoring the studied functional dependencies. Such approach significantly extends the substantive basis of the apparatus for approximating functions in problems, where it is necessary to build a model of the functional dependen
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Daten sichern und wiederherstellen,ithmetic computations in the hardware accelerators targeting multiplications and additions only. However, a conversion from RNS to Binary Number System (BNS) is a well-known complex operation requiring larger hardware area and consuming more power than modular multipliers which significantly limits
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,Ressourcen und Ereignisse überwachen,edium has a fractal structure. The fractional order piezoconductivity equation based on anomalous Darcy‘s law, porosity and fluid density equations of state and continuity equation are proposed. The initial and boundary value problem for the system of equations consisting of the balance equation exp
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