2024年第四期外文图书推荐
2024-11-26
书名：Near extensions and alignment of data in R n.
出版社：Wiley
ISBN：9781394196777
价格：1189.14
内容简介：Near Extensions and Alignment of Data in RnComprehensive resource illustrating the mathematical richness of Whitney Extension Problems, enabling readers to develop new insights, tools, and mathematical techniquesNear Extensions and Alignment of Data in Rn demonstrates a range of hitherto unknown connections between current research problems in engineering, mathematics, and data science, exploring the mathematical richness of near Whitney Extension Problems, and presenting a new nexus of applied, pure and computational harmonic analysis, approximation theory, data science, and real algebraic geometry. For example, the book uncovers connections between near Whitney Extension Problems and the problem of alignment of data in Euclidean space, an area of considerable interest in computer vision.Written by a highly qualified author, Near Extensions and Alignment of Data in Rn includes information on:Areas of mathematics and statistics, such as harmonic analysis, functional analysis, and approximation theory, that have driven significant advances in the fieldDevelopment of algorithms to enable the processing and analysis of huge amounts of data and data setsWhy and how the mathematical underpinning of many current data science tools needs to be better developed to be usefulNew insights, potential tools, and mathematical techniques to solve problems in Whitney extensions, signal processing, shortest paths, clustering, computer vision, optimal transport, manifold learning, minimal energy, and equidistributionProviding comprehensive coverage of several subjects, Near Extensions and Alignment of Data in Rn is an essential resource for mathematicians, applied mathematicians, and engineers working on problems related to data science, signal processing, computer vision, manifold learning, and optimal transport. Read more
书名：An introduction to optimization : with applications to machine learning.
出版社：Wiley
ISBN：9781119877639
价格：1283.59
内容简介：An Introduction to OptimizationAccessible introductory textbook on optimization theory and methods, with an emphasis on engineering design, featuring MATLAB? exercises and worked examplesFully updated to reflect modern developments in the field, the Fifth Edition of An Introduction to Optimization fills the need for an accessible, yet rigorous, introduction to optimization theory and methods, featuring innovative coverage and a straightforward approach. The book begins with a review of basic definitions and notations while also providing the related fundamental background of linear algebra, geometry, and calculus. With this foundation, the authors explore the essential topics of unconstrained optimization problems, linear programming problems, and nonlinear constrained optimization. In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization, and applications of optimization in machine learning. Numerous diagrams and figures found throughout the book complement the written presentation of key concepts, and each chapter is followed by MATLAB? exercises and practice problems that reinforce the discussed theory and algorithms. The Fifth Edition features a new chapter on Lagrangian (nonlinear) duality, expanded coverage on matrix games, projected gradient algorithms, machine learning, and numerous new exercises at the end of each chapter. An Introduction to Optimization includes information on:The mathematical definitions, notations, and relations from linear algebra, geometry, and calculus used in optimizationOptimization algorithms, covering one-dimensional search, randomized search, and gradient, Newton, conjugate direction, and quasi-Newton methodsLinear programming methods, covering the simplex algorithm, interior point methods, and duality Nonlinear constrained optimization, covering theory and algorithms, convex optimization, and Lagrangian dualityApplications of optimization in machine learning, including neural network training, classification, stochastic gradient descent, linear regression, logistic regression, support vector machines, and clustering.An Introduction to Optimization is an ideal textbook for a one- or two-semester senior undergraduate or beginning graduate course in optimization theory and methods. The text is also of value for researchers and professionals in mathematics, operations research, electrical engineering, economics, statistics, and business. Read more
书名：Hydrogen energy : production, safety, storage and applications.
出版社：Wiley
ISBN：9781119900696
价格：1571.36
内容简介：HYDROGEN ENERGYComprehensive resource exploring integrated hydrogen technology with guidance for developing practical operating systemsHydrogen Energy presents all-inclusive knowledge on hydrogen production and storage to enable readers to design guidelines for its production, storage, and applications, addressing the recent renewed interest in hydrogen energy to manage the global energy crisis and discussing the electrochemical potential of hydrogen in transportation and fuel cells. Written by a highly qualified author, Hydrogen Energy explores sample topics such as:Essentials of hydrogen energy, such as its occurrence, physico-chemical properties, production, transmission, delivery, storage, and utilization Technology of hydrogen utilization in the land transport sector, such as automobiles, as well as other modes of transport, like marine and air Combustion characteristics and environmental pollution features, internal combustion engines, and fuel cells Guidelines to design prototype systems, covering their safety, hydrogen induced damages and life cycle analysisProviding in-depth coverage of the subject, Hydrogen Energy is an ideal resource for researchers and professionals working towards developing time-bound goal-oriented hydrogen-based programs in the chemical, automobile, power, and process engineering sectors. Read more
书名：Quantum mechanics
出版社：Wiley
ISBN：9781119829874
价格：797.19
内容简介：QUANTUM MECHANICSFrom classical analytical mechanics to quantum mechanics, simulation, foundations & engineeringQuantum mechanics is a fundamental and conceptually challenging area of physics. It is usually assumed that students are unfamiliar with Lagrangian and Hamiltonian formulations of classical mechanics and the role played by probability. As a result, quantum physics is typically introduced using heuristic arguments, obscuring synergies with classical mechanics. This book takes an alternative approach by leveraging classical analytical mechanics to facilitate a natural transition to quantum physics. By doing so, a solid foundation for understanding quantum phenomena is provided. Key features of this textbook include:Mathematics and Classical Analytical Mechanics:The necessary mathematical background and classical analytical mechanics are introduced gradually, allowing readers to focus on one conceptual challenge at a time.Deductive Approach:Quantum mechanics is presented on the firm foundation of classical analytical mechanics, ensuring a logical progression of concepts.Pedagogical Features:This book includes helpful notes, worked examples, problems, computational challenges, and problem-solving approaches to enhance understanding.Comprehensive Coverage:Including advanced topics such as open quantum systems, phase-space methods, and computational methods for quantum physics including good programming practice and code design. Much of the code needed to reproduce figures throughout this book is included.Consideration of Foundations:The measurement problem and correspondence principle are addressed, including an open and critical discussion of their interpretation and consequences.Introduction to Quantum Systems Engineering:This is the first book to introduce Quantum Systems Engineering approaches for applied quantum technologies development.This textbook is suitable for undergraduate students in physics and graduate students in mathematics, chemistry, engineering, and materials science. Read more
书名：Drug development for gene therapy
出版社：Wiley
作者： Yanmei Lu
ISBN：9781119852780
价格：1910.68
内容简介：Drug Development for Gene TherapyIndustry-centric perspective on translational and bioanalytical challenges and best practices for gene therapiesDrug Development for Gene Therapy focuses on the translational and bioanalytical challenges and best practices for gene therapy modalities, presenting a significant body of data, including information related to safety and efficacy, necessary to advance through the development pipeline into clinical use. The text covers bioanalytical methods and platforms including patient screening assays, different PCR tests, enzyme activity assays, ELISpot, NGS, LC/MS, and immunoassays, with FDA and EMA guidelines on gene therapy safety and efficacy, along with companion diagnostics regulations from US and EU perspectives. The chapters offer an in-depth discussion of the basics and best practices for translational biomarkers, bioanalysis, and developing companion diagnostics / lab tests for gene therapies in the pharma and biopharma industries. To aid in reader comprehension, the text includes clinical examples of relevant therapies in related chapters. Some of the core topics covered include study design, immunogenicity, various bioanalytical methods and their applications, and global regulatory issues. Written by two highly qualified authors with significant experience in the field, Drug Development for Gene Therapy includes information on:Bioanalytical methods to detect pre-existing antibodies against adeno-associated viruses (AAV) capsidsDetection of cellular immunity and humoral response to viral capsids and transgene proteins, and immunogenicity of gene therapy productsNonclinical and clinical study considerations and methods for biodistribution and sheddingQuantification of transgene protein expression and biochemical function, and substrate and distal pharmacodynamic biomarker measurements for gene therapyDetection and quantification of rAAV integration and off-target editingCurrent regulatory landscape for gene therapy product development and the role of biomarkers and general regulatory considerations for gene therapy companion diagnosticsWith comprehensive coverage of the subject, Drug Development for Gene Therapy is a must-have resource for researchers and developers in the areas of pharmaceuticals, biopharmaceuticals, and contract research organizations (CROs), along with professors, researchers, and advanced students in chemistry, biological, biomedical engineering, pharmaceuticals, and medical sciences. Read more
书名：Polymeric materials for electronic packaging.
出版社：Wiley
ISBN：9781394188796
价格：1273.64
内容简介：POLYMERIC MATERIALS FOR ELECTRONIC PACKAGINGCreate and deploy reliable polymeric materials for use in electronic products with this comprehensive guideModern electronic products are manufactured at a finer scale and with more precision than ever before. This places increasing demand on the proper use and management of high-performance polymers to create reliable, rapidly-operating semiconductor products. Understanding the physical properties and viscoelasticity analysis of resins is essential for engineers and researchers to perfect and deploy these polymers in electronics contexts. Polymeric Materials for Electronic Packaging is designed to meet this specific need with a thorough introduction to these materials and their production. It provides the tools engineers need to reduce processing times and increase durability in their semiconductor packages and products. Translated from the Japanese original and offering in-depth analysis from a global-leading expert, this promises to be an indispensable volume. Polymeric Materials for Electronic Packaging readers will also find:Detailed treatment of subjects including viscoelastic theory, design issues of LSI packages, and moreAnalysis uniquely suited to the dimensions of cutting-edge semiconductor technologyIncorporation of cutting-edge viscoelasticity analysis software, available separately from the authorPolymeric Materials for Electronic Packaging is critical for electrical and electronics engineers working with semiconductors, as well as advanced postgraduate students and researchers in this or numerous related areas. Read more
书名：Demystifying deep learning
出版社：Wiley
ISBN：9781394205608
价格：1103.76
内容简介：DEMYSTIFYING DEEP LEARNINGDiscover how to train Deep Learning models by learning how to build real Deep Learning software libraries and verification software! The study of Deep Learning and Artificial Neural Networks (ANN) is a significant subfield of artificial intelligence (AI) that can be found within numerous fields:medicine, law, financial services, and science, for example. Just as the robot revolution threatened blue-collar jobs in the 1970s, so now the AI revolution promises a new era of productivity for white collar jobs. Important tasks have begun being taken over by ANNs, from disease detection and prevention, to reading and supporting legal contracts, to understanding experimental data, model protein folding, and hurricane modeling. AI is everywhere―on the news, in think tanks, and occupies government policy makers all over the world ―and ANNs often provide the backbone for AI. Relying on an informal and succinct approach, Demystifying Deep Learning is a useful tool to learn the necessary steps to implement ANN algorithms by using both a software library applying neural network training and verification software. The volume offers explanations of how real ANNs work, and includes 6 practical examples that demonstrate in real code how to build ANNs and the datasets they need in their implementation, available in open-source to ensure practical usage. This approachable book follows ANN techniques that are used every day as they adapt to natural language processing, image recognition, problem solving, and generative applications. This volume is an important introduction to the field, equipping the reader for more advanced study. Demystifying Deep Learning readers will also find:A volume that emphasizes the importance of classificationDiscussion of why ANN libraries, such as Tensor Flow and Pytorch, are written in C++ rather than PythonEach chapter concludes with a “Projects” page to promote students experimenting with real code A supporting library of software to accompany the book at https://github.com/nom-de-guerre/RANTAn approachable explanation of how generative AI, such as generative adversarial networks (GAN), really work. An accessible motivation and elucidation of how transformers, the basis of large language models (LLM) such as ChatGPT, work. Demystifying Deep Learning is ideal for engineers and professionals that need to learn and understand ANNs in their work. It is also a helpful text for advanced undergraduates to get a solid grounding on the topic. Read more
书名：From distributed quantum computing to quantum internet computing.
出版社：Wiley
ISBN：9781394185511
价格：1103.76
内容简介：From Distributed Quantum Computing to Quantum Internet ComputingUnderstand the future of the internet with this accessible guideQuantum computing, which draws upon the principles of quantum mechanics to perform computing functions unrestricted by the binary language of ordinary computing, has developed with extraordinary speed in recent years. Progress in quantum computing and its related technological subfields, including quantum internet, has been rapid enough to suggest that we are living in a “new Quantum Age.” To understand the future of the internet, it’s now essential to understand the present and future of quantum computing and quantum internet computing. This book provides a groundbreaking overview of this field of technology and its latest developments. It provides readers with a working knowledge of the key topics required to connect quantum computing to the future of distributed computing and the internet, including important issues like quantum protocols, distributed quantum computations, fundamental computations in the quantum internet architecture, and more. The result is an accessible and essential reference for any reader looking to better understand quantum technologies. From Distributed Quantum Computing to Quantum Internet Computing readers will also find:Detailed discussion of topics including qubit states, entanglement, quantum gates, and more.Mathematical background for underlying key concepts.Worked out examples that aim to initiate readers into the emerging area of quantum internet computing.This book is ideal for researchers and graduate students in quantum computing, quantum internet, quantum communications, and related fields, as well as Computer Scientists and Information Technology students and researchers who want an introductory overview to quantum internet computing. Read more
书名：Applied geotechnics for construction projects.
出版社：Wiley-Iste
ISBN：9781786307774
价格：1401.05
内容简介：Geotechnical engineering is now a fundamental component of construction projects. The third volume of this book is its backbone, dedicated to foundations for civil and industrial construction projects.
Applied Geotechnics for Construction Projects 3 first presents the basic theoretical principles and rules governing the designing and validation of foundations; shallow, semi-deep and deep, then presents real foundation projects with a detailed comparison of the approaches and methods of calculating foundations in relation to the reference systems and rules in force, closely compared to and validated by the Eurocodes. The third chapter presents examples of foundation projects, covering high-side building rafts, strip footings, piles and embankments, enriched by an unprecedented level of experience in the field of foundations for civil and industrial construction projects. It ends with examples of damage to foundations and practical appendices.
Each chapter of this third volume is illustrated with photographs and measurements of construction sites and is built on both theory and experience in the field of foundations as a whole. The result is a combination of geotechnical expertise and lessons learned from experience, both of which are highly valuable in the field of applied geotechnics for construction projects.
书名：Mathematics and computer science.
出版社：Wiley-Scrivener
作者： Niranjanamurthy,M.;Ghosh,Sharmistha;Deya
ISBN：9781119896326
价格：1910.68
内容简介：MATHEMATICS AND COMPUTER SCIENCEThis second volume in a new multi-volume set builds on the basic concepts and fundamentals laid out in the previous volume, presenting the reader with more advanced and cutting-edge topics being developed in this exciting field.This second volume in a new series from Wiley-Scrivener is the first of its kind to present scientific and technological innovations by leading academicians, eminent researchers, and experts around the world in the areas of mathematical sciences and computing. Building on what was presented in volume one, the chapters focus on more advanced topics in computer science, mathematics, and where the two intersect to create value for end users through practical applications. The chapters herein cover scientific advancements across a diversified spectrum that includes differential as well as integral equations with applications, computational fluid dynamics, nanofluids, network theory and optimization, control theory, machine learning and artificial intelligence, big data analytics, Internet of Things, cryptography, fuzzy automata, statistics, and many more. Readers of this book will get access to diverse ideas and innovations in the field of computing together with its growing interactions in various fields of mathematics. Whether for the engineer, scientist, student, academic, or other industry professional, this is a must-have for any library. Read more
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