Skip to main content

Books in Physical sciences and engineering

Advanced Nuclear Fuels and Materials
1st Edition
Rongzheng Liu + 2 more
English
Advanced Nuclear Fuels and Materials covers different fuel types such as oxide fuels,metal and alloy fuels, carbide fuels, nitride fuels, composite fuels, and transmutationtargets... Other fuels discussed include those used in advanced reactor systems, includinghigh temperature gas cooled reactor fuels, molten salt reactor fuels, sodium cooled fastreactor fuels, lead cooled fast reactor fuels, gas cooled fast reactor fuels, and supercriticalwater reactor fuels.Additional sections focus on materials used in nuclear reactors, including structuralalloys, control rod materials, and graphite. The numerical simulation of advancednuclear fuels, and the frontier of nuclear fuels, including new accident tolerant fuelsand nano materials used in advanced nuclear energy systems are also elaborated.The comprehensive coverage provided by the book makes it an ideal reference forsenior undergraduates and graduate students and professional researchers/engineer... in nuclear energy, nuclear fuel, or material science.
Approximation Theory and Applications
Piecewise Linear and Generalized Functions
1st Edition
Sergei Aliukov
English
Approximation Theory and Applications: Piecewise Linear and Generalized Functions presents the main provisions of approximation theory, and considers existing and new methods for approximating piecewise linear and generalized functions, widely used to solve problems related to mathematical modeling of systems, processes, and phenomena in fields ranging from engineering to economics. The widespread use of piecewise linear and generalized functions is explained by the simplicity of their structure. However, challenges often arise when constructing solutions over the entire domain of these functions, requiring the use special mathematical methods to put theory into practice. This book first offers a first full foundation in approximation theory as it relates to piecewise linear and generalized functions, followed by staged methods to resolve common problems in practice, with applications examined across structural mechanics, medicine, quantum theory, signal theory, semiconductor theory, mechanical engineering, heat engineering, and other fields. Later chapters consider numerical verification of approximation methods, and approximation theory as the basis for new macroeconomic theory with impulse and jump characteristics. Each chapter includes questions for review and sample problems, accompanied by a separate Solutions Manual hosted for instructor access.
Data Mining
Practical Machine Learning Tools and Techniques
5th Edition
Ian H. Witten + 4 more
English
**2026 Textbook and Academic Authors Association (TAA) Textbook Excellence "Texty" Award Winner**Data Mining: Practical Machine Learning Tools and Techniques, Fifth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated new edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including more recent deep learning content on topics such as generative AI (GANs, VAEs, diffusion models), large language models (transformers, BERT and GPT models), and adversarial examples, as well as a comprehensive treatment of ethical and responsible artificial intelligence topics. Authors Ian H. Witten, Eibe Frank, Mark A. Hall, and Christopher J. Pal, along with new author James R. Foulds, include today’s techniques coupled with the methods at the leading edge of contemporary research
Dimensionality Reduction in Machine Learning
1st Edition
Jamal Amani Rad + 2 more
English
Dimensionality Reduction in Machine Learning covers both the mathematical and programming sides of dimension reduction algorithms, comparing them in various aspects. Part One provides an introduction to Machine Learning and the Data Life Cycle, with chapters covering the basic concepts of Machine Learning, essential mathematics for Machine Learning, and the methods and concepts of Feature Selection. Part Two covers Linear Methods for Dimension Reduction, with chapters on Principal Component Analysis and Linear Discriminant Analysis. Part Three covers Non-Linear Methods for Dimension Reduction, with chapters on Linear Local Embedding, Multi-dimensional Scaling, and t-distributed Stochastic Neighbor Embedding.Finally, Part Four covers Deep Learning Methods for Dimension Reduction, with chapters on Feature Extraction and Deep Learning, Autoencoders, and Dimensionality reduction in deep learning through group actions. With this stepwise structure and the applied code examples, readers become able to apply dimension reduction algorithms to different types of data, including tabular, text, and image data.
Advances in Computational Methods and Modeling for Science and Engineering
1st Edition
Hari M Srivastava + 2 more
English
Advances in Computational Methods and Modelling in Science and Engineering explores the application of computational techniques and modeling approaches in science and engineering, providing practical knowledge and skills for tackling complex problems using numerical simulations and data analysis. This book addresses the need for a cohesive and up-to-date resource in the rapidly evolving field of computational methods. It consolidates diverse topics, serving as a one-stop guide for individuals seeking a comprehensive understanding of the subject matter. Sections focus on mathematical techniques that provide global solutions for models arising in engineering and scientific research applications by considering their long-term benefits.The mathematical treatment of these models is very helpful in understanding these models and their real-world applications. The methods and modeling techniques presented are useful for mathematicians, engineers, scientists, and researchers working on the mathematical treatment of models in a wide range of applications, including disciplines such as engineering, physics, chemistry, computer science, and applied mathematics.
Worked Examples in Engineering Field Theory
Applied Electricity and Electronics Division
1st Edition
A. J. Baden Fuller
P. Hammond
English
Worked Examples in Engineering Field Theory documents a lecture course given by the author to first-year students in the Department of Engineering in the University of Leicester. This book mainly focuses on the concepts of flux and potential. This text is divided in two parts; the first of which is devoted to explaining the concept of flux, whereas the second part encompasses the concept of potential. In discussing the concepts of flux and potential, this book explains the related theories, and then provides examples, related problems, and solutions to the problems. Some of the specific topics included are electric flux, flux function, electrical materials, electric potential, and conductive heat transfer. This publication will be invaluable to mathematics, engineering, and chemistry students and practitioners interested in studying the concepts of flux and potential.
Irreducible Tensorial Sets
1st Edition
U. Fano + 1 more
H. S. W. Massey + 1 more
English
Irreducible Tensorial Sets discusses mathematical methods originating from the theory of coupling and recoupling of angular momenta in atomic physics that constitute an extension of vector and tensor algebra. The book presents a unified treatment with a compact system of notations from different approaches, such as group theory, algebra, and quantum mechanical transformation theory. It discusses irreducible tensorial sets that cover different sets of quantities such as tensor components and states of atomic systems. It also explains quantum mechanical applications, coupling and recoupling of atomic and nuclear states, the Wigner-Eckart theorem, and the products of tensorial sets of operators. The text shows how to calculate the interaction energy between atomic systems couple with one another with a constant total angular momentum. The book also explains the correlations which are functions of the Euler angles between the frame of reference in which a radiation is observed and a frame of reference attached to the orienting radiation or field. It then cites sample problems related to the angular distribution of radiations. The book will prove useful for physicists, for mathematicians, or for readers with some knowledge in theoretical physics, particularly on theory of groups and quantum mechanics.
Organic Spot Test Analysis: The History of Analytical Chemistry
The History of Analytical Chemistry
1st Edition
Volume 10
G. Svehla
English
Emanation Thermal Analysis and Other Radiometric Emanation Methods
PART C
1st Edition
Volume 12C
V. Balek + 1 more
G. Svehla
English
Resilient Cooperative Control and Optimization of Multi-Agent Systems
1st Edition
Zhi Feng + 3 more
English
Resilient Cooperative Control and Optimization of Multi-Agent Systems addresses various resilient cooperative control and optimization problems of multi-agent systems that are vulnerable to physical failure and cyber attacks and consist of multiple decision-making agents that interact in a shared environment to achieve common or conflicting goals. Critical infrastructures, such as smart grids, wireless sensor network, multi-robot system, etc., are typical examples of multi-agent systems that consist of the large-scale physical processes which are monitored and controlled over a set of communication networks and computers.

Related subjects