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Computing Technologies and Applied Mathematics : CTAM 2024, Komsomolsk-na-Amure, Russia, October 07-11, 2024 / edited by Arthur Gibadullin, Sergey Gordin.

Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2025 English International Available online

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Format:
Book
Author/Creator:
Gibadullin, Arthur.
Contributor:
Gordin, Sergey.
Series:
Springer Proceedings in Mathematics & Statistics, 2194-1017 ; 500
Language:
English
Subjects (All):
Mathematics--Data processing.
Mathematics.
Algorithms.
Mathematical optimization.
Computational Mathematics and Numerical Analysis.
Discrete Optimization.
Local Subjects:
Computational Mathematics and Numerical Analysis.
Algorithms.
Discrete Optimization.
Physical Description:
1 online resource (251 pages)
Edition:
1st ed. 2025.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Summary:
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. .
Contents:
Preface
Information-Mathematical Support of Digital Twin of Stand-Alone Hybrid Energy System
Quadratic Programming in a Model of Resource Distribution in Agriculture Based on Quantum Approximate Optimization Algorithm
The Detection of a Jump-like Gaussian Random Disturbance When Appearance Time and Dispersion is Unknown
Mathematical Analysis of Disturbing Forces in the Air Gap of an Asynchronous Motor Using Finite Element Modeling
Information-Analytical System for Fractal and Neural Network Diagnostics of Computed Tomography Images of the Lungs
Optimizing Resources in Information and Telecommunication Systems on the Base of Mathematical Simulation
Application of Quantum Swarm Algorithm in Global Optimization
Genetic Algorithm for Sequential Optimization of Data Sampling for Construction Surrogate Models
Beltrami-Mitchell Equations for the Case of Incompatible Deformations
Optimization of Cargo Delivery Route to Nearby Cities
Refinement of Variable Order Fractional Derivative of Gerasimov-Caputo Type by Multidimensional Levenberg-Marquardt Optimization Method
Computational Approach to Modeling Nutrient-Dependent Growth of Bacterial Patterns with Time Delay Effect
A Combined Approach to the Classification and Se-Mantic Segmentation of Production Tools Through the use of the One-Shot Learning Method
The Kolmogorov-Smirnov Mathematical Test for Vectors of the Digital Twin of an Enterprise.
ISBN:
3-031-90546-6
OCLC:
1528187571

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