Balandin / Barkalov / Meyerov | Mathematical Modeling and Supercomputer Technologies | E-Book | sack.de
E-Book

E-Book, Englisch, 274 Seiten

Reihe: Communications in Computer and Information Science

Balandin / Barkalov / Meyerov Mathematical Modeling and Supercomputer Technologies

24th International Conference, MMST 2024, Nizhni Novgorod, Russia, November 18–21, 2024, Revised Selected Papers
Erscheinungsjahr 2025
ISBN: 978-3-031-80457-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

24th International Conference, MMST 2024, Nizhni Novgorod, Russia, November 18–21, 2024, Revised Selected Papers

E-Book, Englisch, 274 Seiten

Reihe: Communications in Computer and Information Science

ISBN: 978-3-031-80457-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark



This book constitutes the refereed proceedings of the 24th International Conference on Mathematical Modeling and Supercomputer Technologies , MMST 2024, held in Nizhni Novgorod, Russia, during November 18–21 2024.

The 17 full papers and 3 short papers included in this book were carefully reviewed and selected from 39 submissions. They were organized in topical sections as follows: artificial intelligence and supercomputer simulation; computing in optimization and optimal control; computational methods for mathematical models analysis.

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Zielgruppe


Research

Weitere Infos & Material


.- Artificial intelligence and supercomputer simulation.

.- Tools for Constructing Production Digital Twin Models Based on an Algebraic Approach and a Graphical State Language Extended by Functional and Operational Semantics.

.- The Comparison of Meta-Heuristic and Reinforcement Learning Approach to Implement a Given Qubit Logic

.- Modelling of a Quantum System Dynamics in an Instantaneous Basis.

.- Evaluating Perceived Complexity of Process Models from a Targeted Survey of Healthcare Domain Specialists.

.- Constructing Author Closeness Networks Using SCOPUS Bibliometric Data.

.- Optimizing Deep Learning Inference on RISC-V Platforms within the OpenVINO Toolkit.

.- Computing in optimization and optimal control.

.- Multicriteria Selection of Parameters of Multi-Pulse Strongly Nonlinear Dynamic Systems.

.- Assessing Diversity in Global Optimization Methods.

.- Data Reconciliation and Monitoring in Gasoline Blending Applications.

.- The COPRAS Method with Interval Weights.

.- Optimal Control of Quasi-Stationary Electromagnetic Fields.

.- Computational methods for mathematical models analysis.

.- Comparison of Different Models for Simulation of Ice Destroyed Zones During the Low-Speed Impact.

.- One-dimensional Boundary Value Problems of Nonlinear Diffusion Theory.

.- New simple Lie algebras found by computer and non-alternating Hamiltonian algebras.

.- Justification and Implementation of the Galerkin Method for Solving Non-Classical Mathematical Problems of the Atmospheric Electricity Theory.

.- Mathematical Modeling of the Dynamics of Elastic Elements of Mechanical Engineering Structures Carrying Moving Distributed Loads.

.- Numerical Modeling of Low-Velocity Impacts on Aircraft Composite Rods.

.- Dynamic Model of a Composite Sectional Design of a Tiltrotor with Two Tilting Propellers.

.- Acoustic Levitation Applied to Tissue Engineering.

.- Numerical Investigation of Initial Small Imperfection Influence on Post-buckling Shape of a Cylindrical Shell in Axial Compression.



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