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Advances in data science and optimization of complex systems = proceedings of the International Conference on Applied Mathematics and Computer Science -- ICAMCS 2024.. Volume 1 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in data science and optimization of complex systems/ edited by Hoai An Le Thi, Hoai Minh Le, Quang Thuan Nguyen.
Reminder of title:	proceedings of the International Conference on Applied Mathematics and Computer Science -- ICAMCS 2024.
remainder title:	ICAMCS 2024
other author:	Le Thi, Hoai An.
corporate name:	International Conference on Applied Mathematics and Computer Science
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xiii, 557 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	1 On Solving Difficult Combinatorial Optimization Problems Efficiently- A New Framework -- Variants of inertial algorithms for nonmonotone equilibrium problems -- Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix -- Computing sparse generalized inverses for least-squares -- Dynamic Regret for Online Proximal Newton's Method, etc.
Contained By:	Springer Nature eBook
Subject:	Computer science - Mathematics -
Online resource:	https://doi.org/10.1007/978-3-031-90606-0
ISBN:	9783031906060

Advances in data science and optimization of complex systems = proceedings of the International Conference on Applied Mathematics and Computer Science -- ICAMCS 2024.. Volume 1 /
Advances in data science and optimization of complex systemsproceedings of the International Conference on Applied Mathematics and Computer Science -- ICAMCS 2024.Volume 1 /[electronic resource] :ICAMCS 2024edited by Hoai An Le Thi, Hoai Minh Le, Quang Thuan Nguyen. - Cham :Springer Nature Switzerland :2025. - xiii, 557 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,13112367-3389 ;. - Lecture notes in networks and systems ;1311..

1 On Solving Difficult Combinatorial Optimization Problems Efficiently- A New Framework -- Variants of inertial algorithms for nonmonotone equilibrium problems -- Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix -- Computing sparse generalized inverses for least-squares -- Dynamic Regret for Online Proximal Newton's Method, etc.

This proceeding set contains 81 selected full papers presented at the International Conference on Applied Mathematics and Computer Science (ICAMCS 2024), which was held on December 20-21, 2024 in Hanoi, Vietnam, in honor of Professors Pham Dinh Tao and Le Thi Hoai An for the 40th birthday of DC (Difference of Convex functions) programming and DCA (DC Algorithm). The book covers theoretical and algorithmic as well as practical issues connected with several domains of Applied Mathematics and Computer Science, especially Optimization and Data Science. The present part I of the 2-volume set includes articles devoted to Mathematical programming and optimization, DC Programming & DCA, Operations research and decision making, Economics & Finance, Engineering Systems, Autonomous systems, Information theory and Information security. Researchers and practitioners in related areas will find a wealth of inspiring ideas and useful tools and techniques for their own work.

ISBN: 9783031906060

Standard No.: 10.1007/978-3-031-90606-0doiSubjects--Topical Terms:

678603
Computer science
--Mathematics

LC Class. No.: QA76.9.M35

Dewey Class. No.: 004.0151

Advances in data science and optimization of complex systems = proceedings of the International Conference on Applied Mathematics and Computer Science -- ICAMCS 2024.. Volume 1 /
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505 0 $a 1 On Solving Difficult Combinatorial Optimization Problems Efficiently- A New Framework -- Variants of inertial algorithms for nonmonotone equilibrium problems -- Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix -- Computing sparse generalized inverses for least-squares -- Dynamic Regret for Online Proximal Newton's Method, etc.
520 $a This proceeding set contains 81 selected full papers presented at the International Conference on Applied Mathematics and Computer Science (ICAMCS 2024), which was held on December 20-21, 2024 in Hanoi, Vietnam, in honor of Professors Pham Dinh Tao and Le Thi Hoai An for the 40th birthday of DC (Difference of Convex functions) programming and DCA (DC Algorithm). The book covers theoretical and algorithmic as well as practical issues connected with several domains of Applied Mathematics and Computer Science, especially Optimization and Data Science. The present part I of the 2-volume set includes articles devoted to Mathematical programming and optimization, DC Programming & DCA, Operations research and decision making, Economics & Finance, Engineering Systems, Autonomous systems, Information theory and Information security. Researchers and practitioners in related areas will find a wealth of inspiring ideas and useful tools and techniques for their own work.
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