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Current problems of applied mathemat...

International Conference on Current Problems of Applied Mathematics and Computer Systems ((2023 :)

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Current problems of applied mathematics and computer systems = CPAMCS 2023 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Current problems of applied mathematics and computer systems/ edited by Anatoly Alikhanov ...[et al.].
Reminder of title:	CPAMCS 2023 /
remainder title:	CPAMCS 2023
other author:	Alikhanov, Anatoly.
corporate name:	International Conference on Current Problems of Applied Mathematics and Computer Systems
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xii, 653 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Computer science - Mathematics -
Online resource:	https://doi.org/10.1007/978-3-031-64010-0
ISBN:	9783031640100

Current problems of applied mathematics and computer systems = CPAMCS 2023 /
Current problems of applied mathematics and computer systemsCPAMCS 2023 /[electronic resource] :CPAMCS 2023edited by Anatoly Alikhanov ...[et al.]. - Cham :Springer Nature Switzerland :2024. - xii, 653 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,10442367-3389 ;. - Lecture notes in networks and systems ;1044..

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.

ISBN: 9783031640100

Standard No.: 10.1007/978-3-031-64010-0doiSubjects--Topical Terms:

678603
Computer science
--Mathematics

LC Class. No.: QA76.9.M35

Dewey Class. No.: 004.0151

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