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Relational Calculus for Actionable Knowledge (Information Fusion and Data Science)
by Éloi Bossé Michel BarèsThis book focuses on one of the major challenges of the newly created scientific domain known as data science: turning data into actionable knowledge in order to exploit increasing data volumes and deal with their inherent complexity. Actionable knowledge has been qualitatively and intensively studied in management, business, and the social sciences but in computer science and engineering, its connection has only recently been established to data mining and its evolution, ‘Knowledge Discovery and Data Mining’ (KDD). Data mining seeks to extract interesting patterns from data, but, until now, the patterns discovered from data have not always been ‘actionable’ for decision-makers in Socio-Technical Organizations (STO). With the evolution of the Internet and connectivity, STOs have evolved into Cyber-Physical and Social Systems (CPSS) that are known to describe our world today. In such complex and dynamic environments, the conventional KDD process is insufficient, and additional processes are required to transform complex data into actionable knowledge. Readers are presented with advanced knowledge concepts and the analytics and information fusion (AIF) processes aimed at delivering actionable knowledge. The authors provide an understanding of the concept of ‘relation’ and its exploitation, relational calculus, as well as the formalization of specific dimensions of knowledge that achieve a semantic growth along the AIF processes. This book serves as an important technical presentation of relational calculus and its application to processing chains in order to generate actionable knowledge. It is ideal for graduate students, researchers, or industry professionals interested in decision science and knowledge engineering.
Relational Data Clustering: Models, Algorithms, and Applications
by Bo Long Zhongfei Zhang Philip S. YuA culmination of the authors' years of extensive research on this topic, Relational Data Clustering: Models, Algorithms, and Applications addresses the fundamentals and applications of relational data clustering. It describes theoretic models and algorithms and, through examples, shows how to apply these models and algorithms to solve real-world problems.After defining the field, the book introduces different types of model formulations for relational data clustering, presents various algorithms for the corresponding models, and demonstrates applications of the models and algorithms through extensive experimental results. The authors cover six topics of relational data clustering:Clustering on bi-type heterogeneous relational dataMulti-type heterogeneous relational data Homogeneous relational data clusteringClustering on the most general case of relational dataIndividual relational clustering frameworkRecent research on evolutionary clusteringThis book focuses on both practical algorithm derivation and theoretical framework construction for relational data clustering. It provides a complete, self-contained introduction to advances in the field.
Relational Topology (Lecture Notes in Mathematics #2208)
by Gunther Schmidt Michael WinterThis book introduces and develops new algebraic methods to work with relations, often conceived as Boolean matrices, and applies them to topology. Although these objects mirror the matrices that appear throughout mathematics, numerics, statistics, engineering, and elsewhere, the methods used to work with them are much less well known. In addition to their purely topological applications, the volume also details how the techniques may be successfully applied to spatial reasoning and to logics of computer science. Topologists will find several familiar concepts presented in a concise and algebraically manipulable form which is far more condensed than usual, but visualized via represented relations and thus readily graspable. This approach also offers the possibility of handling topological problems using proof assistants.
Relationale Datenbanken: Von den theoretischen Grundlagen zu Anwendungen mit PostgreSQL (Examen. Press Ser.)
by Thomas StuderDieses Buch erläutert Theorie und Praxis zu relationalen Datenbanken Was sind relationale Datenbanken? Die Antwort darauf geben die theoretischen Grundlagen und Praxisbeispiele in diesem Buch. Zunächst erläutert Thomas Studer die mathematisch präzise Darstellung des relationalen Modells und die relationale Algebra. Daneben widmet er sich der Datenbanksprache SQL und schafft damit den Praxisbezug. Die zahlreichen Beispiele auf Basis der open-source Datenbank PostgreSQL erleichtern die Anwendung. Dieses Buch erklärt die grundlegenden Prinzipien des Schemaentwurfs und Normalformen fundiert und praxisnah und verbindet die relationale Datenbanktheorie mit Datenbankdesign. Studer hat aktuelle Entwicklungen im Blick Die vorliegende Auflage ist umfassend aktualisiert und dem aktuellen Kenntnisstand angepasst. Studer widmet sich in diesem Buch den folgenden Teilaspekten relationaler Datenbanken: Logische und physische Query-Optimierung Isolation von serializable Snapshots Zerlegung der dritten Normalform in die Boyce-Codd Normalform Rollen und Berechtigungen SQL als Sprache zur Datendefinition und Datenmanipulation Sicherheitsrichtlinien auf Zeilenebene Durch die nachhaltige Verbindung von Theorie und Praxis eignet sich das Buch „Relationale Datenbanken“ für: Studierende aus den Bereichen (Wirtschafts-)Informatik Praktiker wie Softwareentwickler, Systemadministratoren oder Fachinformatiker Besuchen Sie uns online und entdecken Sie die zahlreichen Begleitmaterialien zu diesem Buch, die alle frei zugänglich sind.
The Relationship of Affect and Creativity in Mathematics: How the Five Legs of Creativity Influence Math Talent
by Scott Chamberlin Eric MannThe Relationship of Affect and Creativity in Mathematics explores the five legs of creativity—Iconoclasm, Impartiality, Investment, Intuition, and Inquisitiveness—as they relate to mathematical giftedness. This book:Discusses these affective components relevant to mathematical learning experiences.Shares how affective components impact students' creative processes and products.Shows the influence of learning facilitators, including teachers, afterschool mentors, and parents.Describes facilitating environments that may enhance the likelihood that creative process and ultimately product emerge.Utilizes the expertise of two young scholars to discuss the practical effects of affect and creativity in learning experiences.This practical, research-based book is a must-read for stakeholders in gifted education, as many advanced students are underidentified in the area of creativity in mathematics.
Relative Aspects in Representation Theory, Langlands Functoriality and Automorphic Forms: CIRM Jean-Morlet Chair, Spring 2016 (Lecture Notes in Mathematics #2221)
by Volker Heiermann Dipendra PrasadThis volume presents a panorama of the diverse activities organized by V. Heiermann and D. Prasad in Marseille at the CIRM for the Chaire Morlet event during the first semester of 2016. It assembles together expository articles on topics which previously could only be found in research papers. Starting with a very detailed article by P. Baumann and S. Riche on the geometric Satake correspondence, the book continues with three introductory articles on distinguished representations due to P. Broussous, F. Murnaghan, and O. Offen; an expository article of I. Badulescu on the Jacquet–Langlands correspondence; a paper of J. Arthur on functoriality and the trace formula in the context of "Beyond Endoscopy", taken from the Simons Proceedings; an article of W-W. Li attempting to generalize Godement–Jacquet theory; and a research paper of C. Moeglin and D. Renard, applying the trace formula to the local Langlands classification for classical groups. The book should be of interest to students as well as professional researchers working in the broad area of number theory and representation theory.
Relative Optimization of Continuous-Time and Continuous-State Stochastic Systems (Communications and Control Engineering)
by Xi-Ren CaoThis monograph applies the relative optimization approach to time nonhomogeneous continuous-time and continuous-state dynamic systems. The approach is intuitively clear and does not require deep knowledge of the mathematics of partial differential equations. The topics covered have the following distinguishing features: long-run average with no under-selectivity, non-smooth value functions with no viscosity solutions, diffusion processes with degenerate points, multi-class optimization with state classification, and optimization with no dynamic programming.The book begins with an introduction to relative optimization, including a comparison with the traditional approach of dynamic programming. The text then studies the Markov process, focusing on infinite-horizon optimization problems, and moves on to discuss optimal control of diffusion processes with semi-smooth value functions and degenerate points, and optimization of multi-dimensional diffusion processes. The book concludes with a brief overview of performance derivative-based optimization.Among the more important novel considerations presented are:the extension of the Hamilton–Jacobi–Bellman optimality condition from smooth to semi-smooth value functions by derivation of explicit optimality conditions at semi-smooth points and application of this result to degenerate and reflected processes;proof of semi-smoothness of the value function at degenerate points;attention to the under-selectivity issue for the long-run average and bias optimality; discussion of state classification for time nonhomogeneous continuous processes and multi-class optimization; anddevelopment of the multi-dimensional Tanaka formula for semi-smooth functions and application of this formula to stochastic control of multi-dimensional systems with degenerate points.The book will be of interest to researchers and students in the field of stochastic control and performance optimization alike.
Relative Trace Formulas (Simons Symposia)
by Werner Müller Sug Woo Shin Nicolas TemplierA series of three symposia took place on the topic of trace formulas, each with an accompanying proceedings volume. The present volume is the third and final in this series and focuses on relative trace formulas in relation to special values of L-functions, integral representations, arithmetic cycles, theta correspondence and branching laws. The first volume focused on Arthur’s trace formula, and the second volume focused on methods from algebraic geometry and representation theory. The three proceedings volumes have provided a snapshot of some of the current research, in the hope of stimulating further research on these topics. The collegial format of the symposia allowed a homogeneous set of experts to isolate key difficulties going forward and to collectively assess the feasibility of diverse approaches.
A Relatively Painless Guide to Special Relativity
by Dave GoldbergSerious and accessible—finally the special relativity course book that both physics majors and lifelong learners deserve. Special relativity challenges one’s physical intuition of space, time, matter, and energy in a way that few other topics in physics do. Yet the subject is often treated as an extra in undergraduate courses—something to be picked up in a few random lectures and presented as a combination of geometric and logical puzzles (seemingly with the premise of getting the novice student to concede that Einstein was a genius and that the universe is weird). But special relativity is absolutely fundamental to modern physics. It is the canvas on which electromagnetism, particle physics, field theory, and ultimately general relativity are based. For physics students, developing a relativistic intuition isn’t just a luxury: it’s a requirement. Physicist and popular author Dave Goldberg provides a rigorous but conversational introduction to fill this void in spacetime education. Employing the standard calculus a sophomore or junior university student in science, engineering, or computer science will have encountered, Goldberg connects relativity to a student’s work ahead, acquainting them with topics like tensors, the development of new physical theories, and how relativity directly relates to other disciplines. But more than this, Goldberg welcomes lifelong learners who may have encountered special relativity in popular accounts, but are seeking a mathematical challenge to understand an elegant physical theory.
Relativistic Dynamics of a Charged Sphere: Updating the Lorentz-Abraham Model
by Arthur D. YaghjianIn addition to expanding and clarifying a number of sections of the first edition, it generalizes the analysis that eliminates the noncausal pre-acceleration so that it applies to removing any pre-deceleration as well. It also introduces a robust power series solution to the equation of motion that produces an extremely accurate solution to problems such as the motion of electrons in uniform magnetic fields.
Relativistic Fluid Dynamics In and Out of Equilibrium: And Applications to Relativistic Nuclear Collisions (Cambridge Monographs on Mathematical Physics)
by Paul Romatschke Ulrike RomatschkeThe past decade has seen unprecedented developments in the understanding of relativistic fluid dynamics in and out of equilibrium, with connections to astrophysics, cosmology, string theory, quantum information, nuclear physics and condensed matter physics. Romatschke and Romatschke offer a powerful new framework for fluid dynamics, exploring its connections to kinetic theory, gauge/gravity duality and thermal quantum field theory. Numerical algorithms to solve the equations of motion of relativistic dissipative fluid dynamics as well as applications to various systems are discussed. In particular, the book contains a comprehensive review of the theory background necessary to apply fluid dynamics to simulate relativistic nuclear collisions, including comparisons of fluid simulation results to experimental data for relativistic lead-lead, proton-lead and proton-proton collisions at the Large Hadron Collider (LHC). The book is an excellent resource for students and researchers working in nuclear physics, astrophysics, cosmology, quantum many-body systems and string theory.
Relativistische Quantenmechanik
by Georg WolschinDieses Buch richtet sich an Studierende der Physik, die bereits über Grundkenntnisse der Quantenmechanik verfügen und relativistische Wellengleichungen kennenlernen möchten. Im Hauptteil des Buchs behandelt der Autor die Klein-Gordon-Gleichung und die Dirac-Gleichung, wobei er deren Lösungen und ihre Bedeutung hervorhebt. Die Invarianzen der Dirac-Gleichung in Bezug auf Paritätstransformation, Ladungskonjugation und Zeitumkehr werden diskutiert, mit dem Klein’schen Paradoxon wird dem Leser eine interessante Anwendung näher gebracht und mit der Weyl-Gleichung ihr Spezialfall für masselose Fermionen dargestellt. Neben diesen Schwerpunkten werden die Entwicklungen thematisiert, die zur Aufstellung der relativistischen Wellengleichungen durch Schrödinger, Klein, Gordon und Dirac führten und somit auch auf den wissenschaftshistorisch interessanten Hintergrund verweisen. Ebenfalls erläutert ist die Verbindung zur Galilei-invarianten nicht-relativistischen Quantenmechanik. Zuletzt werden kurz die Grundzüge der Quantenelektrodynamik und Elemente der relativistischen Streutheorie erläutert.Anhand von Testaufgaben am Ende des Buchs wird der Leser dazu motiviert, den Stoff selbst beispielhaft nachzurechnen und das Gelernte zu festigen. Die Mehrzahl der Lösungen lassen sich im jeweiligen Kapitel finden.Die vorliegende zweite Auflage wurde vollständig durchgesehen, an vielen Stellen verbessert, ergänzt und überarbeitet. Ein neues Schlusskapitel über relativistische Schwerionenkollisionen wurde hinzugefügt.
The Relevance of René Thom: The Morphological Dimension in Today’s Sciences (Lecture Notes in Morphogenesis)
by Isabel Marcos Clément MorierThe body of work presented in this book comes from research carried out since 2017 as part of the international "Actualité de René Thom" project. This project was initially entitled "Morphology and qualitative dynamics: Knowledge of forms / Forms of knowledge". Subsequently, the name "Relevance of René Thom" was chosen for its clarity and evocative power.The aim of this research project is to promote the scientific relevance of René Thom's thinking on forms, and to demonstrate the importance of his method and discoveries. It is based on discussions of Thom's thinking and the method he proposes - i.e., to seek out dynamic structures in order to understand changes of form in nature and at the human-social level, to explain the transformation of these dynamic forms, to study the morphologies of process in various fields in order to advance scientific knowledge...The relevance of this thinker has manifested itself in the form of monthly sessions of a research seminar, held from 2017 to 2022, as well as in the form of international congresses (2018, 2019), bringing together the greatest friends and continuators, both of the work of René Thom himself, and of reflection on morphogenetic dynamics in the most diverse disciplines. This created a space for dialogue and listening between the exact sciences and the social and human sciences. Indeed, the fields of study are necessarily interdisciplinary, since, as René Thom teaches us, morphological organization, or form, in its exchanges with matter, must be considered as "independent" of its substrate, i.e. the environment in which this morphogenesis unfolds. Finally, this book marks a symbolic moment: it takes shape in the year that marks the centenary of the birth of René Thom, who was born in the French town of Montbéliard in 1923. To mark this centenary (1923-2023), a number of initiatives have been launched to celebrate the discoveries and advances of this mathematician-philosopher, ashe liked to call himself… The publication of the present book is one more, which we hope will shed light that will stimulate the morphological gaze Thom so urged us to adopt.
Reliability 91
by R.H. MatthewsThis book is a collection of papers presented at the International Conference on Reliability Techniques and their Application.Reliability 91, 10-12 June 1991 was held at the Royal Lancaster Hotel, London, UK, organised by SRD (the Safety and Reliability Consultants of AEA Technology) and the institution of Quality Assurance (IQA), and supported by the European Safety and Reliability Association (ESRA).
Reliability Achievement: The commercial incentive
by Terje AvenThis book represents the proceedings of the 10th annual symposium of the Society of Reliability Engineers, Scandinavian Chapter, and was held in Stavanger, Norway, 9-11 October 1989. The theme of the symposium emphasised the need for obtaining a competitive edge through reliability in systems engineering and addressed the role of reliability in marketing, contracts, customer support and product liability. This book will be of interest to those involved in reliability engineering, risk assessment, safety and maintenance engineering.
Reliability Analysis and Maintenance Optimization of Complex Systems: Essays in Honor of Professor Won Young Yun on his 65th Birthday (Springer Series in Reliability Engineering)
by Qian Qian Zhao Il Han Chung Junjun Zheng Jongwoon KimThis book is a comprehensive guide to methodologies for analyzing reliability and optimizing maintenance in complex systems, spanning from initial design to operational stages. The book comprises 20 chapters, each addressing different research topics in the reliability and maintenance of complex systems. These chapters are authored by esteemed professors and researchers in the field of reliability engineering, and they are organized as follows: System Reliability Modeling (8 chapters), Optimal Maintenance Models (4 chapters), System Performance and Availability Analysis (3 chapters), and Reliability Testing and Accelerated Life Tests (2 chapters). The remaining chapters focus on reliability testing and life data analysis. The book offers an in-depth exploration of various techniques, algorithms, and practical industry applications, making it an invaluable resource for researchers engaged in system reliability analysis and maintenance optimization, as well as for practical engineers and industrial managers. This book will be useful to students, researchers, and engineers in understanding the latest research issues and techniques in reliability and maintenance engineering.
Reliability and Maintenance: Networks and Systems
by Frank Beichelt Peter TittmannReliability and Maintenance: Networks and Systems gives an up-to-date presentation of system and network reliability analysis as well as maintenance planning with a focus on applicable models. Balancing theory and practice, it presents state-of-the-art research in key areas of reliability and maintenance theory and includes numerous examples and ex
Reliability and Maintenance Modeling with Optimization: Advances and Applications (Advanced Research in Reliability and System Assurance Engineering)
by Mitsutaka Kimura Satoshi Mizutani Mitsuhiro Imaizumi Kodo ItoReliability and maintenance modeling with optimization is the most fundamental and interdisciplinary research area that can be applied to every technical and management field. Reliability and Maintenance Modeling with Optimization: Advances and Applications aims at providing the most recent advances and achievements in reliability and maintenance. The book discusses replacement, repair, and inspection, offers estimation and statistical tests, covers accelerated life testing, explores warranty analysis manufacturing, and includes service reliability. The targeted readers are researchers interested in reliability and maintenance engineering. The book can serve as supplemental reading in professional seminars for engineers, designers, project managers, and graduate students.
Reliability and Risk Analysis: A Practical Guide, Third Edition (ISSN)
by Mohammad Modarres Katrina GrothCompletely updated for a new edition, this book introduces reliability and risks analysis, for both practicing engineers and engineering students at the undergraduate and graduate levels. Since reliability analysis is a multidisciplinary subject, this book draws together a wide range of topics and presents them in a way that applies to most engineering disciplines.What Every Engineer Should Know About Reliability and Risk Analysis, Second Edition, emphasizes an introduction and explanation of the practical methods used in reliability and risk studies, with a discussion of their uses and limitations. It offers basic and advanced methods in reliability analysis that are commonly used in daily practice and provides methods that address unique topics such as dependent failure analysis, importance analysis, and analysis of repairable systems. The book goes on to present a comprehensive overview of modern probabilistic life assessment methods such as Bayesian estimation, system reliability analysis, and human reliability. End-of-chapter problems and a solutions manual are available to support any course adoptions.This book is refined, simple, and focuses on fundamentals. The audience is the beginner with no background in reliability engineering and rudimentary knowledge of probability and statistics. It can be used by new practitioners, undergraduates, and first-year graduate students.
Reliability and Risk Assessment in Engineering: Proceedings of INCRS 2018 (Lecture Notes in Mechanical Engineering)
by Vijay Kumar Gupta Prabhakar V. Varde P. K. Kankar Narendra JoshiThis volume is a collection of articles on reliability and safety engineering presented during INCRS 2018. The articles cover a variety of topics such as big data analytics and their applications in reliability assessment and condition monitoring, health monitoring, management, diagnostics and prognostics of mechanical systems, design for reliability and optimization, and machine learning for industrial applications. A special aspect of this volume is the coverage of performance, failure and reliability issues in electrical distribution systems. This book will be a useful reference for graduate students, researchers and professionals working in the area of reliability assessment, condition monitoring and predictive maintenance.
Reliability and Safety of Complex Technical Systems and Processes
by Krzysztof Kołowrocki Joanna Soszyńska-BudnyReliability and Safety of Complex Technical Systems and Processes offers a comprehensive approach to the analysis, identification, evaluation, prediction and optimization of complex technical systems operation, reliability and safety. Its main emphasis is on multistate systems with ageing components, changes to their structure, and their components reliability and safety parameters during the operation processes. Reliability and Safety of Complex Technical Systems and Processes presents integrated models for the reliability, availability and safety of complex non-repairable and repairable multistate technical systems, with reference to their operation processes and their practical applications to real industrial systems. The authors consider variables in different operation states, reliability and safety structures, and the reliability and safety parameters of components, as well as suggesting a cost analysis for complex technical systems. Researchers and industry practitioners will find information on a wide range of complex technical systems in Reliability and Safety of Complex Technical Systems and Processes. It may prove an easy-to-use guide to reliability and safety evaluations of real complex technical systems, both during their operation and at the design stages.
Reliability and Statistical Computing: Modeling, Methods and Applications (Springer Series in Reliability Engineering)
by Hoang PhamThis book presents the latest developments in both qualitative and quantitative computational methods for reliability and statistics, as well as their applications. Consisting of contributions from active researchers and experienced practitioners in the field, it fills the gap between theory and practice and explores new research challenges in reliability and statistical computing. The book consists of 18 chapters. It covers (1) modeling in and methods for reliability computing, with chapters dedicated to predicted reliability modeling, optimal maintenance models, and mechanical reliability and safety analysis; (2) statistical computing methods, including machine learning techniques and deep learning approaches for sentiment analysis and recommendation systems; and (3) applications and case studies, such as modeling innovation paths of European firms, aircraft components, bus safety analysis, performance prediction in textile finishing processes, and movie recommendation systems. Given its scope, the book will appeal to postgraduates, researchers, professors, scientists, and practitioners in a range of fields, including reliability engineering and management, maintenance engineering, quality management, statistics, computer science and engineering, mechanical engineering, business analytics, and data science.
Reliability and Statistics in Transportation and Communication: Selected Papers from the 19th International Conference on Reliability and Statistics in Transportation and Communication, RelStat’19, 16-19 October 2019, Riga, Latvia (Lecture Notes in Networks and Systems #117)
by Igor Kabashkin Irina Yatskiv Olegas PrentkovskisThis book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most noteworthy methods and results discussed at the International Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place in Riga, Latvia on October 16 – 19, 2019. It spans a broad spectrum of topics, from mathematical models and design methodologies, to software engineering, data security and financial issues, as well as practical problems in technical systems, such as transportation and telecommunications, and in engineering education.
Reliability and Statistics in Transportation and Communication: Selected Papers from the 21st International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication, RelStat2021, 14-15 October 2021, Riga, Latvia (Lecture Notes in Networks and Systems #410)
by Igor Kabashkin Irina Yatskiv Olegas PrentkovskisThis book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most noteworthy methods and results discussed at the 21st International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place remotely from Riga, Latvia, on October 14 – 15, 2021. It spans a broad spectrum of topics, from mathematical models and design methodologies, to software engineering, data security and financial issues, as well as practical problems in technical systems, such as transportation and telecommunications, and in engineering education.
Reliability and Statistics in Transportation and Communication: Selected Papers from the 22nd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication: Artificial Intelligence in Transportation, RelStat-2022, October 20-21, 2022, Riga, Latvia (Lecture Notes in Networks and Systems #640)
by Igor Kabashkin Irina Yatskiv Olegas PrentkovskisThis book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most relevant findings discussed at the 22nd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place on October 20 – 21, 2022, in Riga, Latvia, in hybrid mode. It spans a broad spectrum of advanced theories and methods, giving a special emphasis to the integration of artificial intelligent concepts into reliability approaches.