Current Problems Of Applied Mathematics And Computer Systems
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Current Problems of Applied Mathematics and Computer Systems
This book is based on the best papers accepted for presentation during the International Conference on Current Problems of Applied Mathematics and Computer Systems (APAMCS-2023). The book includes research materials on mathematical problems and solutions in the field of scientific computing, artificial intelligence, data analysis and modular computing. The scope of numerical methods in scientific computing presents original research, including mathematical models and software implementations, related to the following topics: numerical methods in scientific computing; solving optimization problems; methods for approximating functions, etc. The studies in data analysis and modular computing include contributions in the field of deep learning, neural networks, mathematical statistics, machine learning methods, residue number system and artificial intelligence. In addition, some articles focus on mathematical modeling of nonlinear physical phenomena. Finally, the book gives insights into the fundamental problems in mathematics education. The book intends for readership specializing in the field of scientific computing, parallel computing, computer technology, machine learning, information security and mathematical education
Current Problems in Applied Mathematics and Computer Science and Systems
This book is based on the best papers accepted for presentation during the International Conference on Actual Problems of Applied Mathematics and Computer Systems (APAMCS-2022), Russia. The book includes research materials on modern mathematical problems, solutions in the field of scientific computing, data analysis and modular computing. The scope of numerical methods in scientific computing presents original research, including mathematical models and software implementations, related to the following topics: numerical methods in scientific computing; solving optimization problems; methods for approximating functions, etc. The studies in data analysis and modular computing include contributions in the field of deep learning, neural networks, mathematical statistics, machine learning methods, residue number system and artificial intelligence. Finally, the book gives insights into the fundamental problems in mathematics education. The book intends for readership specializing in the field of scientific computing, parallel computing, computer technology, machine learning, information security and mathematical education.
II International Scientific Conference "Recent Advances in Architecture and Construction" 2024
Author: Sergey Vasil'yevich Klyuev
language: en
Publisher: Springer Nature
Release Date: 2025-02-20
This book gathers the latest advances, innovations, and applications in the field of construction engineering and architecture, as presented by researchers at the II International Scientific Conference “Recent Advances in Architecture and Construction”, held in Kazan, Russia, on May 14–15, 2024. It covers highly diverse topics, including engineering structures, advanced concrete technologies, durable structures, smart structures and materials, smart cities, architectural and environmental design, modern trends in the development of architectural typology, sustainable urban planning, built environment, construction technologies, and construction management. The contributions, which were selected by means of a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaborations.