Novel Mathematics Inspired by Industrial Challenges

This contributed volume showcases innovative mathematical methods with applications in real-world, industrial problems, organized into two parts: Computational Sciences and Engineering, and Data Analysis and Finance. Each chapter explains why the work fits into the volume, discusses the industrial challenges that inspired it, and outlines the methods developed. It is beneficial for practitioners, professionals, and graduate students in applied mathematics, engineering, and related fields.

Format: Hardback
Length: 337 pages
Publication date: 31 March 2022
Publisher: Springer Nature Switzerland AG

This comprehensive volume brings together a diverse range of insightful works that delve into cutting-edge mathematical methodologies with real-world applications in various industries. The studies included in this book are driven by pressing industrial challenges, showcasing the immense potential of mathematics for industry. These investigations lead to the development of novel mathematical approaches, sometimes even opening up entirely new fields within mathematics. The book is structured into two main sections: Computational Sciences and Engineering and Data Analysis and Finance. Each chapter provides a concise overview of why the work fits into this volume, highlights the industrial challenges that served as inspiration, and outlines the methods that were developed as a result. This cohesive structure enhances the overall readability of the text, benefiting practitioners and professionals seeking innovative techniques as well as graduate students in applied mathematics, engineering, and related fields.

Introduction:
Mathematics has long played a crucial role in solving complex problems across various fields, including industry. With the rapid advancements in technology and the increasing demand for innovative solutions, the need for mathematical methods that can address real-world industrial challenges has become more pressing than ever. This contributed volume aims to showcase the latest developments in mathematical methods with applications in real-world, industrial problems.
Computational Sciences and Engineering:
The first section of the book focuses on computational sciences and engineering. Here, readers will find a wide range of works that explore the use of mathematical models, algorithms, and computational techniques to solve industrial problems. These studies cover a diverse array of topics, including optimization, simulation, machine learning, and data analysis. By applying mathematical principles to real-world scenarios, researchers in this field aim to improve efficiency, productivity, and sustainability in various industries.
Data Analysis and Finance:
The second section of the book explores data analysis and finance. Here, readers will find a collection of works that utilize mathematical methods to analyze and interpret large datasets, extract valuable insights, and make informed decisions. These studies cover a range of applications, such as financial modeling, risk analysis, and market analysis. By leveraging mathematical techniques, researchers in this field aim to improve the performance of financial institutions, predict market trends, and mitigate risks.
Conclusion:
In conclusion, this contributed volume presents a rich selection of works that highlight the transformative power of mathematics for industry. The studies included in this book demonstrate the potential of mathematics to address complex industrial challenges, drive innovation, and improve the overall efficiency and productivity of various industries. By exploring the intersection of mathematics and industry, this volume provides valuable insights for practitioners, professionals, and graduate students alike.

Weight: 705g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030961725
Edition number: 1st ed. 2022