{"title":"Iciam2023 Springer Series","description":null,"products":[{"product_id":"advances-in-nonlinear-hyperbolic-partial-differential-equations-book-toms-morales-de-luna-9789819690862","title":"Advances in Nonlinear Hyperbolic Partial Differential Equations","description":"This book presents a curated collection of recent research contributions in the field of nonlinear partial differential equations (PDEs), with an emphasis on hyperbolic problems. These equations are essential for modeling  complex physical phenomena such as wave propagation, fluid dynamics, blood flow, and sediment transport. In many real-world applications, the governing equations are not purely hyperbolic but involve intricate interactions with elliptic or parabolic components.   As the field advances through theoretical insights and practical needs, this volume captures innovative developments shaping current research. The contributions included here were originally presented at the 10th International Congress on Industrial and Applied Mathematics (ICIAM), held in Tokyo in 2023. They were selected from minisymposia on hyperbolic PDEs and related topics, each organized by leading experts in the field.   The chapters in this book reflect a rich diversity of perspectives and approaches, ranging from rigorous mathematical analysis to computational techniques and real-world applications. By bringing together these works, the volume offers a comprehensive snapshot of the state of the art in hyperbolic PDE research, highlighting both foundational insights and emerging trends.   Edited by the organizers of the relevant ICIAM 2023 minisymposia, this book serves as a valuable resource for researchers, practitioners, and graduate students interested in the theoretical and applied aspects of nonlinear PDEs. Whether you are exploring the mathematical underpinnings of wave phenomena or developing models for complex systems in science and engineering, this volume provides both inspiration and practical tools to advance your work.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":53113566101777,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":53113566429457,"sku":"NLS9789819690862","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9789819690862.jpg?v=1770681815"},{"product_id":"novel-deep-learning-methodologies-in-industrial-and-applied-mathematics-book-sebasti-xamb-descamps-9789819503506","title":"Novel Deep Learning Methodologies in Industrial and Applied Mathematics","description":"This book presents a collection of research papers exploring innovative applications of Artificial Intelligence (AI) in Industrial and Applied Mathematics (IAM). It begins with an introduction to the knowlEdge Platform, a software solution for managing the AI lifecycle in Industry 5.0, integrating AI, IoT, and edge computing to support human-AI collaboration across cloud-to-edge systems. The next chapter offers an accessible overview of geometric deep learning, focusing on geometric algebra transformers and their applications. Another contribution discusses eXplainable AI (XAI), highlighting how Clifford geometric algebra can enhance AI interpretability. Further, an improved Quaternion Monogenic Convolutional Neural Network Layer (QMCL) is presented, demonstrating resilience to brightness changes and adversarial attacks. The book also addresses the challenge of balancing computational efficiency, privacy, and accuracy in distributed AI, proposing model partitioning and early exit strategies. A data-driven method for fault prognosis in wind turbine main bearings is introduced, using industrial-scale turbine data. Finally, recent publications—particularly those following the International Congress of Industrial and Applied Mathematics 2023—are reviewed, offering insights into emerging research directions in AI and IAM.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ GARDNERS","offer_id":53265086873873,"sku":"NGR9789819503506","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9789819503506.jpg?v=1776334274"},{"product_id":"recent-advances-on-two-phase-flows-fluid-structure-interactions-interface-proble-book-zhilin-li-9789819561063","title":"Recent Advances on Two-Phase Flows, Fluid-Structure Interactions, Interface Problems, and Applications","description":"This book is a dedicated collection of invited papers associated with ICIAM 2023. 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This volume aims to serve as a valuable resource for researchers and practitioners working across disciplines where mathematics plays a central role in understanding and solving complex problems.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ GARDNERS","offer_id":53339135869201,"sku":"NGR9789819561063","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9789819561063.jpg?v=1774432493"},{"product_id":"physics-based-and-data-driven-modeling-for-digital-twins-book-karim-cherifi-9789819691074","title":"Physics-Based and Data-Driven Modeling for Digital Twins","description":"This book presents a compelling and up-to-date exploration of modeling techniques for digital twins, a transformative concept revolutionizing how physical assets are designed, operated, optimized, and managed throughout their lifecycle. Digital twins are precise virtual counterparts of physical systems, capable of integrating real-time data to offer dynamic, predictive insights into system behavior. As this paradigm gains momentum across industries, it enhances decision-making and operational efficiency but also introduces new mathematical and engineering challenges in model development.   At the core of this volume is a thorough investigation into the modeling frameworks essential for building effective digital twins. These systems must fulfill multifunctional roles, requiring models that are both robust and flexible enough to simulate complex physical processes with high fidelity. The book spans a wide spectrum of approaches from physics-based models grounded in the laws of nature to data-driven techniques that harness large-scale datasets. It also highlights the growing importance of hybrid methods that combine the interpretability of physical models with the adaptability of machine learning. Throughout the book, real-world case studies illustrate how these modeling advancements are applied to solve pressing challenges in sectors such as manufacturing, energy and transportation.   This volume brings together contributions from leading researchers who are shaping the future of digital twins. The chapters are designed to be accessible to a broad audience. Whether you just started or want to deepen your expertise, this volume offers the insights and tools needed to engage with one of the most exciting developments in modern applied mathematics and engineering. Chapter 1  is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ GARDNERS","offer_id":53605846483217,"sku":"NGR9789819691074","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9789819691074.jpg?v=1780652674"},{"product_id":"numerical-software-libraries-and-their-impact-on-scientific-applications-book-carol-woodward-9789819206223","title":"Numerical Software Libraries and their Impact on Scientific Applications","description":"This open access book highlights the critical role of numerical software libraries in advancing applied mathematics and enabling faster, more accurate simulations in science and engineering. 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