A Mathematical Approach to Research Problems of Science and Technology
Theoretical Basis and Developments in Mathematical Modeling
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Beschreibung
This book deals with one of the most novel advances in mathematical modeling for applied scientific technology, including computer graphics, public-key encryption, data visualization, statistical data analysis, symbolic calculation, encryption, error correcting codes, and risk management. It also shows that mathematics can be used to solve problems from nature, e.g., slime mold algorithms.
One of the unique features of this book is that it shows readers how to use pure and applied mathematics, especially those mathematical theory/techniques developed in the twentieth century, and developing now, to solve applied problems in several fields of industry. Each chapter includes clues on how to use "mathematics" to solve concrete problems faced in industry as well as practical applications.
The target audience is not limited to researchers working in applied mathematics and includes those in engineering, material sciences, economics, and life sciences.This book deals with one of the most novel advances in mathematical modeling for applied scientific technology, including computer graphics, public-key encryption, data visualization, statistical data analysis, symbolic calculation, encryption, error correcting codes, and risk management. It also shows that mathematics can be used to solve problems from nature, e.g., slime mold algorithms.
One of the unique features of this book is that it shows readers how to use pure and applied mathematics, especially those mathematical theory/techniques developed in the twentieth century, and developing now, to solve applied problems in several fields of industry. Each chapter includes clues on how to use "mathematics" to solve concrete problems faced in industry as well as practical applications.
The target audience is not limited to researchers working in applied mathematics and includes those in engineering, material sciences, economics, and life sciences.
Serves as the foundation for creating future technologies based on mathematical and numerical modeling Analyzes big data by applying, for the first time, differential topology and classification theory of singularities Is written by leading international researchers in the field Includes supplementary material: sn.pub/extras
Autor*in
Ryuei Nishii
Themen in »A Mathematical Approach to Research Problems of Science and Technology«
Applications for Industry Big Data Visualization Mathematical Modelling Public-key Encryption Symbolic Calculation