Bøker utgitt av Elsevier Science & Technology

RISC-V Microprocessor System-On-Chip Design is written to be accessible to an advanced undergraduate audience with limited background. It explains concepts from operating systems, VLSI, and memory systems as necessary, and High school mathematics is sufficient preparation for most of the book, although the floating point and division chapters will be primarily of interest to those with a curiosity about computer arithmetic. Like Harris and Harris’s Digital Design and Computer Architecture textbooks, this book will appeal to students with easy-to-read and complete explanations, sidebars, and occasional humor and cartoons.It comes with an open-source implementation and will include end-of-chapter problems to extend the RISC-V processor in various ways. Ancillary materials include a GitHub repository with complete open-source SystemVerilog code, validation code in C and assembly language, and code for benchmarking and booting Linux.

This completely updated third edition of Biological Oceanography offers students a firm grounding in the fundamentals of biological oceanography, continuing the work of the first and second edition author team, Carol Lalli and Timothy Parsons. Additionally, it provides an enhanced learning experience with numerous illustrations, thorough chapter summaries, and questions with answers and comments at the back of the book. The updated material now focuses on communicating the importance of the ocean for Earth's habitability and as such, new chapters that present humanity's dependence on the ocean are included. This comprehensive textbook is an invaluable resource for second year and higher undergraduate students studying oceanography and marine science.

Recent Developments in Theory and Applications of Fractional Order Systems presents a rigorous and thorough analysis of various aspects of Fractional Calculus. The book provides readers with a thorough understanding of fundamental concepts and methods of applied mathematics utilized in a variety of scientific and engineering disciplines. The authors present each computational modeling concept with a definition, methods, theorems, and observations followed by typical application problems and step-by-step solutions. Each topic is covered in detail, followed typically by several meticulously worked out examples and a problem set containing many additional related problems. In addition, the book discusses recent developments and the latest research on Fractional Calculus and its applications, demonstrating important applications in Engineering, Computer Science, Management, Social Science, and the Humanities.

Ideal and Real Atmospheric Boundary Layers is based on the notion that classical books of Boundary Layer Meteorology largely focus on ideal surface conditions, while the actual real circumstances often address situations that are more complex, like over heterogeneous land and in urban and mountain areas.Ideal and Real Atmospheric Boundary Layers starts by covering the basic physical principles used in atmospheric boundary layer meteorology, including atmospheric turbulence, observing and modeling atmospheric boundary layers, and neutral, convective, and stable boundary layers over different types of land surfaces. The second part of the book describes the applications and extension of these principles for real-world circumstances. The book will be of interest to researchers and students in atmospheric science, climate science, and meteorology.

Agent-Based Models with MATLAB introduces Agent-Based Modeling (ABM), one of the most important methodologies for complex systems modeling. The book explores computational implementations and accompanying MATLAB software code as a means of inspiring readers to apply agent-based models to solve a diverse range of problems. It comes with a large amount of software code that accompanies the main text, and the modeling systems described in the book are implemented using MATLAB as the programming language. Despite the heavy mathematical components of Agent-Based Models and complex systems, it is possible to utilize these models without in-depth understanding of their mathematical fundamentals. This book enables computer scientists, mathematicians, researchers, and engineers to apply ABM in a wide range of research and engineering applications. It gradually advances from basic to more advanced methods while reinforcing complex systems through practical, hands-on applications of various computational models.

Volumes 5 and 6 of the Handbook of Labor Economics will systematically review the research topics, empirical findings, and methods that constitute frontier research in the field. The focus will be on the most important research advances that have taken place since the publication of the previous Handbook Volume 4 almost 15 years ago.

Mathematical Methods in Medical and Biological Sciences presents mathematical methods for computational models arising in medical and biological sciences. The book presents several real-life medical and biological models, such as infectious and non-infectious diseases, that can be modeled mathematically to accomplish profound research in virtual environments when the cost of laboratory expenses is relatively high. The book focuses on mathematical techniques that provide global solutions for models arising in medical and biological sciences by considering their long-term benefits. In addition, the book provides leading-edge developments and insights for a range of applications, including epidemiological modeling of pandemic dynamics, viral infection developments, cancer developments, blood oxygen dynamics, HIV infection spread, reaction-diffusion models, polio infection spread, and chaos modeling with fractional order derivatives.

Advances in Neural Engineering: Brain-Computer Interfaces, Volume Two covers the broad spectrum of neural engineering subfields and applications. The set provides a comprehensive review of dominant feature extraction methods and classification algorithms in the brain-computer interfaces for motor imagery tasks. The book's authors discuss existing challenges in the domain of motor imagery brain-computer interface and suggest possible research directions. The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including sensory and motor information, stimulation of the neuromuscular system to control muscle activation and movement, analysis and visualization of complex neural systems, and more.