國立虎尾科技大學 |

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

Record Type:	Language materials, printed : 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:	Workshop on the Preservation of Stability under Discretization
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xii, 653 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Computer science - Congresses. - 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 ;v.1..

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:

528619
Computer science
--Mathematics--Congresses.

LC Class. No.: QA76.9.M35

Dewey Class. No.: 004.0151

Current problems of applied mathematics and computer systems = CPAMCS 2023 /
LDR:02378nam a22003495a 4500 001 1135048
003 DE-He213
005 20240902130230.0
006 m d
007 cr nn 008maaau
008 241213s2024 sz s 0 eng d
020 $a 9783031640100 $q (electronic bk.)
020 $a 9783031640094 $q (paper)
024 7 $a 10.1007/978-3-031-64010-0 $2 doi
035 $a 978-3-031-64010-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.M35
072 7 $a TBJ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a TBJ $2 thema
082 0 4 $a 004.0151 $2 23
090 $a QA76.9.M35 $b I61 2023
111 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
245 1 0 $a Current problems of applied mathematics and computer systems $h [electronic resource] : $b CPAMCS 2023 / $c edited by Anatoly Alikhanov ...[et al.].
246 3 $a CPAMCS 2023
260 $a Cham : $c 2024. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a xii, 653 p. : $b ill. (some col.), digital ; $c 24 cm.
347 $a text file $b PDF $2 rda
490 1 $a Lecture notes in networks and systems, $x 2367-3389 ; $v 1044
520 $a 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.
650 0 $a Computer science $x Mathematics $v Congresses. $3 528619
650 0 $a Computer systems $x Mathematics $v Congresses. $3 1456632
650 1 4 $a Mathematical and Computational Engineering Applications. $3 1387767
650 2 4 $a Data Engineering. $3 1226308
700 1 $a Alikhanov, Anatoly. $e editor. $3 1401232
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in networks and systems ; $v v.1. $3 1107910
856 4 0 $u https://doi.org/10.1007/978-3-031-64010-0
950 $a Engineering (SpringerNature-11647)