Del 500 i serien Springer Proceedings in Mathematics & Statistics

Computing Technologies and Applied Mathematics

CTAM 2024, Komsomolsk-na-Amure, Russia, October 07-11, 2024

Inbunden, Engelska, 2025

2 749 kr

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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.

Produktinformation

Utgivningsdatum2025-07-10
Mått155 x 235 x 18 mm
Vikt504 g
FormatInbunden
SpråkEngelska
SerieSpringer Proceedings in Mathematics & Statistics
Antal sidor212
FörlagSpringer International Publishing AG
ISBN9783031905452

Tillhör följande kategorier

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.