Mathematical Modeling and Supercomputer Technologies: 24th International Conference, MMST 2024, Nizhni Novgorod, Russia, November 1821, 2024, Revised [Paperback]

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 1821 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.

.- 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 mathl31