Computing Technologies and Applied Mathematics CTAM 2024, Komsomolsk-na-Amure, Russia, October 07-11, 2024

This proceedings volume convenes revised, selected works presented at the 3rd International Seminar on Computing Technologies and Applied Mathematics (CTAM2024), held at Komsomolsk-na-Amure State University, Russia, from October 7 to 11, 2024. The seminar brought together a diverse group of international experts and young scientists from Germany, China, South Korea, Uzbekistan, and Russia to exchange the latest results and original ideas on the use of computing technologies and applied mathematics tools in both fundamental and applied research.
Topics covered in this volume include the development of theoretical foundations, methods, and algorithms for implementing mathematical and computational models. The subjects ranged from health to logistics, with many devoted to algorithm optimization. Industrial applications are also covered, with studies of digital twins and quantum and evolutionary algorithms.
By bridging academia and industry, this volume can benefit graduate students, experienced researchers, and industry practitioners alike, fostering both practical implementations in real-world scenarios and innovative avenues of applied research.
 

Dettagli sul prodotto

• Con la collaborazione di: Arthur Gibadullin (Editore), Gordin (Editore), Sergey Gordin (Editore)
• Editore: Springer, Berlin
• Contenuto: Libro
• Forma del prodotto: Copertina rigida
• Data pubblicazione: 30.06.2025
• Categoria: Scienze naturali, medicina, informatica, tecnica > Matematica > Teoria delle probabilità, stocastica, statistica m
• EAN: 9783031905452
• ISBN: 978-3-0-3190545-2
• Numero di pagine: 212
• Illustrazioni: X, 212 p. 62 illus., 50 illus. in color.
• Dimensioni (della confezione): 15.5 x 1.6 x 23.5 cm
• Peso (della confezione): 450 g
• Serie: Springer Proceedings in Mathematics & Statistics > 500
• Categorie: Optimierung, Algorithmen und Datenstrukturen, Algorithms, Digital Twin, Computational Mathematics and Numerical Analysis, Mathematical Modeling, Discrete Optimization, quantum algorithms, Computer Simulations, Numerical Algorithms, inverse problems, Evolutionary Optimization, High Performance Computing, Finite Element Modeling, convolutional neural network, Computational Algorithms, high performance applications, energy flows, optimization modeling, global optimization algorithms, Kolmogorov-Smirnov Test, statistical simulation