Engineering Mathematics and Computing

This book summarizes the papers presented at the 3rd International Conference on Engineering Mathematics and Computing (ICEMC 2020), highlighting new developments in neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, and more. It is useful for researchers, scholars, engineers, and graduate students.

Format: Hardback
Length: 295 pages
Publication date: 04 October 2022
Publisher: Springer Verlag, Singapore

This comprehensive book presents a collection of distinguished papers presented at the 3rd International Conference on Engineering Mathematics and Computing (ICEMC 2020), which took place
place at the Haldia Institute of Technology, Purba Midnapur, West Bengal, India, from February 5 to 7, 2020. The book delves into the latest advancements and breakthroughs in diverse areas such as neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, hybrid intelligent systems, and more. Spanning 19 chapters, this invaluable resource is of immense value to researchers, scholars, practicing engineers, and graduate students pursuing engineering and applied sciences.

The conference, organized by the Haldia Institute of Technology, aimed to bring together experts and scholars from around the world to explore the frontiers of engineering mathematics and computing. The participants presented their research findings, innovative ideas, and practical applications, fostering a vibrant exchange of knowledge and ideas.

The book's chapters are authored by renowned researchers and practitioners from various institutions and industries, ensuring a diverse and authoritative perspective on the latest developments in the field. Each chapter provides a thorough review of the current state-of-the-art research, highlighting key findings, methodologies, and potential applications.

The topics covered in the book are wide-ranging and encompass various aspects of engineering mathematics and computing. From neural networks and machine learning to optimization and simulation, the book offers a comprehensive coverage of the most relevant and cutting-edge research areas. It also explores the intersection of these fields with other disciplines such as computer science, mathematics, and physics, fostering interdisciplinary collaboration and promoting the development of new methodologies and technologies.

The book is designed to be accessible to a broad audience, including researchers, scholars, practicing engineers, and graduate students. It provides a solid foundation for those seeking to advance their knowledge and understanding of engineering mathematics and computing, as well as those looking to explore new research directions and applications.

In conclusion, this book serves as a valuable resource for anyone interested in engineering mathematics and computing. It provides a comprehensive overview of the latest developments and advances in the field, authored by leading experts and practitioners. The book's chapters are well-structured, informative, and accessible, making it an essential tool for researchers, scholars, and practitioners alike.

Weight: 635g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811922992
Edition number: 1st ed. 2023