Advances in Data Science and Optimization of Complex Systems : Proceedings of the International Conference on Applied Mathematics and Computer Science - ICAMCS 2024, Volume 2

Hoai An Le Thi

ISBN 10: 3032002664 / ISBN 13: 9783032002662

Editore: Springer, Springer, 2025

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Druck auf Anfrage Neuware - Printed after ordering - 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 II of the 2-volume set includes articles devoted to Machine Learning: Algorithms and Applications. Researchers and practitioners in related areas will find a wealth of inspiring ideas and useful tools and techniques for their own work.

Codice articolo 9783032002662

Dati bibliografici

• Titolo: Advances in Data Science and Optimization of Complex Systems : Proceedings of the International Conference on Applied Mathematics and Computer Science - ICAMCS 2024, Volume 2
• Editore: Springer, Springer
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 3032002664
• ISBN 13: 9783032002662
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 24 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 24 millimetri di profondità
• Peso: 651 grammi

Descrizione articolo

Riassunto

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 II of the 2-volume set includes articles devoted to Machine Learning: Algorithms and Applications. Researchers and practitioners in related areas will find a wealth of inspiring ideas and useful tools and techniques for their own work.