Books in Physical sciences and engineering

Extended Hypergeometric Functions and Orthogonal Polynomials

1st Edition
February 1, 2026
Praveen Agarwal + 1 more
English

Extended Hypergeometric Functions and Orthogonal Polynomials presents a comprehensive and accessible resource for researchers and graduate students interested in exploring the rich connections between extended hypergeometric functions, orthogonal polynomials, and multivariable polynomials. Integrating all three fields and their applications in Maple, Mathematica, and MATLAB, this book fosters interdisciplinary understanding and inspires new avenues of research in mathematics, engineering, physics, and computer science. It also provides a glimpse into future research directions in these areas, including potential applications in emerging fields of applied mathematics and interdisciplinary collaborations. Each chapter begins with an introduction, includes sections on theory, followed by sections on applications, and ends with exercises, problems, references and suggested readings.

Quantum Theory, Decision Making and Social Dynamics

1st Edition
February 1, 2026
Tofigh Allahviranloo + 3 more
English

Quantum Theory, Decision Making and Social Dynamics is an innovative exploration of the intersection of quantum theory, decision-making, and social networks. As quantum theory continues to permeate various fields, there is a growing need for accessible resources that elucidate its principles and applications. This book aims to fill that gap by illuminating the complex interplay between quantum theory and social dynamics, particularly in the context of decision-making. It addresses the challenges of understanding and applying quantum theory in social dynamics and equips readers with the knowledge to harness its potential in decision-making processes. The book is organized into nine chapters, each delving into a specific aspect of quantum theory and its applications. Chapter 1 provides an overview of quantum theory, tracing its historical development and key principles. Chapter 2 explores the integration of quantum theory with fuzzy systems, highlighting real-world applications and emerging trends. In Chapter 3, the focus shifts to the application of quantum theory in social networks, including quantum social network models and case studies. Chapter 4 examines decision-making processes within social networks, while Chapter 5 introduces and analyzes quantum decision-making models. Chapter 6 delves into quantum graph theory, discussing quantum graphs, walks, and algorithms. The subsequent chapters address the challenges and limitations of quantum decision-making (Chapter 7), future directions for the field (Chapter 8), and conclude with a summary of key points and final thoughts (Chapter 9). Quantum Theory, Decision Making and Social Dynamics is an invaluable resource for graduate students, researchers, and professionals in the fields of applied mathematics, computer science, physics, and social sciences interested in applying quantum approaches to the study of decision-making. These readers often face challenges in understanding complex quantum concepts, applying quantum theory to social networks, and utilizing quantum decision-making models. This book provides a solid foundation in quantum theory, introduces its applications in diverse areas, and prepares readers to navigate the quantum age with confidence. By offering a comprehensive overview and practical insights, this book empowers its audience to appreciate the profound impact of quantum theory on social network dynamics and decision-making.

Renewable-to-Vehicle Smart Charging

1st Edition
February 1, 2026
Saleh Aghajan-Eshkevari + 4 more
English

Renewable-to-Vehicle Smart Charging: Planning, Modeling, and Load Forecasting for Grid Integration offering a multidisciplinary approach to integrating electric vehicle charging needs into renewable-powered grids.This book begins with an overview of fundamental technical challenges, tariff mechanisms, and successful implementation examples for renewable-to-vehicle smart charging. Subsequent chapters detail cutting-edge machine learning and Internet-of-Things techniques for load-forecasting and charging resilience, before guiding readers through planning considerations including energy trading methods, fuel-cell vehicles, charging points size and location, and uncertainty modeling.Combining a step-by-step grounding in key challenges and opportunities with practical case studies in the latest ML and AI technologies, Renewable-to-Vehicle Smart Charging: Planning, Modeling, and Load Forecasting for Grid Integration will support students, researchers, and engineers in integrating electric vehicle charging to the renewable-based grids of the future.

Elementary Real Analysis

1st Edition
February 1, 2026
Thomas Bieske
English

Elementary Real Analysis: A Practical Introduction provides a robust foundation for success in real analysis, presenting traditional material in an accessible, engaging manner with the support of clearly outlined learning objectives and exercises.Organized into three well-designed sections, the book begins with a comprehensive review of prerequisite knowledge. Section I includes chapters such as "Sets," "Mathematical Statements," and "Proof Methods", which establish the essential language and techniques of advanced mathematics. Section II explores the properties of real numbers, integers, and functions, each accompanied by a wealth of exercises that encourage exploration and practice. The final section delves into advanced topics such as sequences, continuity, and differentiation, culminating in a synthesis of concepts that prepares students for rigorous mathematical analysis.Whether used in a classroom or for self-directed learning, Elementary Real Analysis: A Practical Introduction is a vital companion for students seeking an introduction to real analysis, bridging the gap between basic principles and advanced mathematical concepts with clarity and precision.

Agricultural Applications of Earth Observation

1st Edition
February 1, 2026
Peng Fu
English

Agricultural Applications of Earth Observation details the revolutionary impact of satellite and remote sensing technologies in enhancing agricultural practices. It bridges the knowledge gap by making advanced satellite and sensor data understandable and applicable, enabling readers to select the best tools for specific agricultural needs. Real-world case studies and practical examples demonstrate the successful implementation of Earth Observation technologies in agriculture, inspiring readers with tangible results and encouraging innovative thinking. Agricultural Applications of Earth Observation enables readers to apply Earth Observation technologies to enhance agronomical sustainability and contribute to more environmentally friendly practices. With detailed methodologies and a range of additional supplementary elements, the book equips readers with the knowledge and tools to drive the future of agriculture into a more sustainable era.

Understanding Molecular Processes using Electrochemical Methods

1st Edition
February 1, 2026
Ashis Kumar Satpati + 1 more
English

Understanding molecular processes using electrochemical methods offers a detailed compendium of techniques for molecular analysis. The book considers step and sweep techniques, scanning electrochemical microscopy, spectroelectrochemic... techniques, electrochemiluminesc... and scanning probe techniques. It also explores COSMOL Multiphysics simulation, electroanalysis in biomedical and clinical applications, and future prospects for electrochemical techniques. Chapters focus on evaluating redox reactions, biological interactions, kinetics, quorum sensing, biofilm formation, surface modification and more molecular aspects. This volume offers a deep-dive into the fundamental principles behind the latest electrochemical techniques, equipping researchers with practical guidance for their own experiments. This acts as an ideal reference for researchers working across a range of disciplines including molecular biology, bioanalytical chemistry, biomedical science and translational medicine.

Natural Organic Matter (NOM) in Engineered Aquatic Systems

1st Edition
February 1, 2026
Thabo T.I. Nkambule + 4 more
English

Natural Organic Matter (NOM) in Engineered Aquatic Systems: Advanced Data-Driven Approaches and Climate Change Impact on NOM Characterization and Treatment provides an in-depth exploration of Natural Organic Matter (NOM) in drinking water, addressing its sources, occurrence, and environmental impacts, particularly in the context of climate change. It delves into the challenges NOM poses for drinking water treatment, including the formation of disinfection by-products and operational issues like coagulation and membrane treatment. The authors, all experts in the field, review a range of NOM removal technologies, such as coagulation, oxidation, and biofiltration. Special attention is given to high NOM concentrations in the Northern Cape and their implications for water treatment. The treatability of NOM in South African water supplies under changing climatic conditions is examined, highlighting drivers such as temperature, drought, and storm events. Finally, the book explores the potential of using Artificial Intelligence and Machine Learning techniques to optimize NOM treatment processes, offering insights into various models and their applications in managing NOM in drinking water systems.

Learning-Driven Game Theory for AI

1st Edition
February 1, 2026
Mehdi Salimi + 1 more
English

Learning-Driven Game Theory for AI: Concepts, Models, and Applications offers in-depth coverage of recent methodological and conceptual advancements in various disciplines of Dynamic Games, namely differential and discrete-time dynamic games, evolutionary games, repeated and stochastic games, and their applications in a variety of fields, such as computer science, biology, economics, and management science. In this book, the authors bridge the gap between traditional game theory and its modern applications in artificial intelligence (AI) and related technological fields. The dynamic nature of contemporary problems in robotics, cybersecurity, machine learning, and multi-agent systems requires game-theoretic solutions that go beyond classical methods. The book delves into the rapidly growing intersection of pursuit differential games and AI, focusing on how these advanced game-theoretic models can be applied to modern AI systems, making it an indispensable resource for both academics and professionals. The book also provides a variety of applications demonstrating the practical integration of AI and game theory across various disciplines, such as autonomous systems, federated learning, and distributed decision-making frameworks. The book also explores the use of game theory in reinforcement learning, swarm intelligence, multi-agent coordination, and cybersecurity. These are critical areas where AI and dynamic games converge. Each chapter covers a different facet of dynamic games, offering readers a comprehensive yet focused exploration of topics such as differential and discrete-time games, evolutionary dynamics, and repeated and stochastic games. The absence of static games ensures a concentrated focus on the dynamic, evolving problems that are most relevant today.

Programming Massively Parallel Processors

5th Edition
February 1, 2026
Wen-mei W. Hwu + 2 more
English

Programming Massively Parallel Processors: A Hands-on Approach shows both students and professionals alike the basic concepts of parallel programming and GPU architecture. Concise, intuitive, and practical, it is based on years of road-testing in the authors' own parallel computing courses. Various techniques for constructing and optimizing parallel programs are explored in detail, while case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This new edition has been updated for the latest trends, incorporating the latest techniques and technologies to ensure that readers are learning the most current and relevant practices in GPU programming.

Green Hydrogen Generation from Biomass

1st Edition
February 1, 2026
Yasser Vasseghian + 2 more
English

Green Hydrogen Generation from Biomass: Biohydrogen as a Renewable Energy Source is a comprehensive guide that addresses the critical need for cleaner and more sustainable energy sources through hydrogen. This book delves into the promising field of green hydrogen, focusing on the utilization of biomass for hydrogen production. It offers a thorough examination of the theoretical foundations, practical applications, and future prospects of biohydrogen as a renewable energy source. The book commences with an introduction to green hydrogen and its production methods, and gradually unfolds into a comprehensive guide on biomass utilization for sustainable biohydrogen generation. It delves into microscopic details, exploring microbial pathways, and discussing advanced techniques such as dark fermentation and photofermentation. The book further sheds light on recent advancements in microbial engineering for enhanced biohydrogen yield and presents a critical evaluation of the environmental impacts alongside a life cycle assessment of biohydrogen. Chapters on biohydrogen storage and distribution, its applications in transportation, and a comparative analysis with commercial hydrogen generation technologies offer a well-rounded perspective. The book concludes with a detailed cost analysis, a techno-economic assessment, policies, legislation, and the innovative application of artificial intelligence in biohydrogen generation from biomass. Green Hydrogen Generation from Biomass: Biohydrogen as a Renewable Energy Source is an invaluable resource for researchers, practitioners, policymakers, and students in the field of renewable energy and sustainability, equipping readers with a holistic understanding of biohydrogen production processes, solutions for technical, economic, and environmental challenges, and discussing integration strategies with existing renewable energy infrastructure.

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