Current Problems of Applied Mathematics and Computer Systems: CPAMCS 2023 (2024) (Lecture Notes in Networks and Systems #1044)

By: Anatoly Alikhanov and Andrei Tchernykh and Mikhail Babenko and Irina Samoylenko

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Synopsis: This book is based on the best papers accepted for presentation during the International Conference on Current Problems of Applied Mathematics and Computer Systems (APAMCS-2023). The book includes research materials on mathematical problems and solutions in the field of scientific computing, artificial intelligence, 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. In addition, some articles focus on mathematical modeling of nonlinear physical phenomena. 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

Book Quality:: Publisher Quality
ISBN-13:: 9783031640100
Related ISBNs:: 9783031640094
Publisher:: Springer Nature Switzerland
Date of Addition:: 10/03/24
Copyrighted By:: The Editor
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Technology, Mathematics and Statistics
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Anatoly Alikhanov
Edited by:: Andrei Tchernykh
Edited by:: Mikhail Babenko
Edited by:: Irina Samoylenko