This book demonstrates the significance, applicability, and widespread nature of fixed point theorems in contexts outside of mathematics, including engineering, computer science, economics, and biological sciences. In the real world, fixed point theory is used to solve problems where stability, balance, or repeated processes are involved, such as predicting economic equilibrium, optimizing traffic flow, ensuring robots move precisely, or stabilizing medical devices like pacemakers. It is also used in artificial intelligence, engineering systems, and biological modeling where stable solutions in complex systems are needed. The authors not only highlight modern hurdles, but also explore how the field has accommodated and grown in response to them. The book provides comprehensive coverage of both the classical underpinnings and the cutting-edge advancements in fixed point theory. Each concept is illustrated with well-crafted, original examples that are carefully chosen to demonstrate both theoretical depth and practical significance. The chapters conclude with open problems and future research directions, encouraging further exploration. This book is designed to serve as both a guide for those entering the field as well as a resource for seasoned researchers looking to deepen their understanding of its modern applications.

In addition, this book: Includes real-world applications in neural networks, control theory, medical imaging process, and stability analysis Incorporates computational methods and software-assisted analysis using MATLAB (R) and Python (TM) where appropriate Presents a research-oriented perspective as well as open problems, research directions, and extensive references.