الصفحة 7
الصفحة 7
Green Function Theory of Chemisorption
The book provides an introduction to the Green-Function (GF) theory of chemisorption. It is self-contained, and requires only a basic knowledge of quantum mechanics and solid-state physics. The GF approach lends itself well to the pedagogically desirable modellistic treatment of the subject. Throughout each chapter, step-by-step details are provided by which the calculations are performed, so that readers are led from the simple to the more advanced aspects, in a straightforward manner. In this way, students gain confidence to read the current literature on their own.
Global Conflict Resolution Through Positioning Analysis
Positioning analysis penetrates beneath surface issues to their underlying psychological causes and social effects, with the intention of defusing conflict and preventing existing conflict from escalating. As the growing literature shows, positioning analysis methods are not only effective in interpersonal and intergroup problems, but have considerable potential for resolving disputes on the world stage. Global Conflict Resolution through Positioning Analysis starts with the daily disputes that result from our multiple social identities and evolving self-definitions, offers a new framework for understanding historical conflict, and brings vital new perspectives to current political and ideological battles. Twenty expert contributors examine scenarios as simple as a committee meeting of four people, as complicated as centuries-old social movements and the shifting tensions in the Middle East.
Geometry of Quantum Theory ; 2nd ed.
This book a classic on the foundations of quantum theory. This view, which is essentially geometric and relies on the concept of symmetry. The mathematical treatment of symmetry in quantum theory is based on the theory of group representations, and this book includes a self-contained treatment of the parts of this theory that are most useful in quantum physics.
Geometric Qp Functions
This book documents the rich structure of the holomorphic Q functions which are geometric in the sense that they transform naturally under conformal mappings. Particular emphasis is placed on recent developments based on the interaction between geometric function/measure theory and other branches of mathematical analysis, including potential theory, complex variables, harmonic analysis, functional analysis, and operator theory." "Largely self-contained, this book will be an instructional and reference work for advanced courses and research in conformal analysis, geometry, or function spaces.
Geometric numerical integration : Structure-preserving algorithms for ordinary differential equations
Numerical methods that preserve properties of Hamiltonian systems, reversible systems, differential equations on manifolds and problems with highly oscillatory solutions are the subject of this book. A complete self-contained theory of symplectic and symmetric methods, which include Runge-Kutta, composition, splitting, multistep and various specially designed integrators, is presented and their construction and practical merits are discussed. The long-time behaviour of the numerical solutions is studied using a backward error analysis (modified equations) combined with KAM theory. The book is illustrated by many figures, it treats applications from physics and astronomy and contains many numerical experiments and comparisons of different approaches.
Geometric and Topological Methods for Quantum Field Theory
This volume offers an introduction, in the form of four extensive lectures, to some recent developments in several active topics at the interface between geometry, topology and quantum field theory. The first lecture is by Christine Lescop on knot invariants and configuration spaces, in which a universal finite-type invariant for knots is constructed as a series of integrals over configuration spaces. This is followed by the contribution of Raimar Wulkenhaar on Euclidean quantum field theory from a statistical point of view. The author also discusses possible renormalization techniques on noncommutative spaces. The third lecture is by Anamaria Font and Stefan Theisen on string compactification with unbroken supersymmetry. The authors show that this requirement leads to internal spaces of special holonomy and describe Calabi-Yau manifolds in detail. The last lecture, by Thierry Fack, is devoted to a K-theory proof of the Atiyah-Singer index theorem and discusses some applications of K-theory to noncommutative geometry. These lectures notes, which are aimed in particular at graduate students in physics and mathematics, start with introductory material before presenting more advanced results. Each chapter is self-contained and can be read independently.
Gene Expression Programming : Mathematical Modeling by an Artificial Intelligence
This monograph provides all the implementation details of GEP so that anyone with elementary programming skills will be able to implement it themselves. The book also includes a self-contained introduction to this new exciting field of computational intelligence, including several new algorithms for decision tree induction, data mining, classifier systems, function finding, polynomial induction, times series prediction, evolution of linking functions, automatically defined functions, parameter optimization, logic synthesis, combinatorial optimization, and complete neural network induction. The book also discusses some important and controversial evolutionary topics that might be refreshing to both evolutionary computer scientists and biologists.
Gender Differences in Computer and Information Literacy : An In-depth Analysis of Data from ICILS
When computer technology was first introduced in schools, there was a prevailing belief that information and communication technologies were ‘boys’ toys’; boys were assumed to have more positive attitudes toward using computer technologies. As computer technologies have become more established throughout societies, gender gaps in students’ computer and information literacy appear to be closing, although studies into gender differences remain sparse.
Fuzzy Equational Logic
The book deals with similarity relations defined on a set with functions. The functions are required to map similar elements to similar ones. The book presents basic mathematical properties of structures consisting of similarity-preserving functions and logics for reasoning about similarities. The presented text is self-contained. The notions and results are demonstrated through examples which are graphically illustrated. The book is useful for researchers, but it can also be used as a graduate text.
Fuzzy Control : Fundamentals, Stability and Design of Fuzzy Controllers
The book provides a critical discussion of fuzzy controllers from the perspective of classical control theory. Special emphases are placed on topics that are of importance for industrial applications, like (self-) tuning of fuzzy controllers, optimisation and stability analysis. The book is written as a textbook for graduate students as well as a comprehensive reference book about fuzzy control for researchers and application engineers. Starting with a detailed introduction to fuzzy systems and control theory the reader is guided to up-to-date research results.
Fuzzy Choice Functions : A Revealed Preference Approach
This book extends the theory of revealed preference to fuzzy choice functions and provides applications to multicriteria decision making problems. The main topics of revealed preference theory (rationality, revealed preference and congruence axioms, consistency conditions) are treated in the framework of fuzzy choice functions. New topics, such as the degree of dominance and similarity of vague choices, are developed. The results obtained are applied to economic problems where partial information and human subjectivity involve vague choices and vague preferences. The book contains a number of new results achieved by the author. Even though the text is reasonably self-contained, previous knowledge of revealed preference and fuzzy set theory is helpful for the reader.
Fundamentals of the Physics of Solids ; Vol. I : Structure and Dynamics
This book aims to deliver a comprehensive and self-contained account of the vast field of solid-state physics. It goes far beyond most classic texts in the presentation of the properties of solids and experimentally observed phenomena, along with the basic concepts and theoretical methods used to understand them and the essential features of various experimental techniques.
Fundamentals of Robotic Mechanical Systems : Theory, Methods, and Algorithms
Fundamentals of Robotic Mechanical Systems, Third Edition addresses robots at large - such as multi-fingered hands, walking machines, flight simulators, and machine tools - that rely on mechanical systems to perform their tasks. The author establishes the foundations on which the design, control, and implementation of the underlying mechanical subsystems are based. The treatment assumes familiarity with some calculus, linear algebra, and elementary mechanics; however, the elements of rigid-body mechanics and linear transformations are reviewed in the first chapters, making the presentation self-contained.
Fundamentals of pattern recognition and machine learning
Fundamentals of Pattern Recognition and Machine Learning is designed for a one or two-semester introductory course in Pattern Recognition or Machine Learning at the graduate or advanced undergraduate level. The book combines theory and practice and is suitable to the classroom and self-study.
Fundamentals of operational risk management : Understanding and implementing effective tools, policies and frameworks
Threats to an organization's operations, such as fraud, IT disruption or poorly designed products, could result in serious losses. Understand the key components of effective operational risk management with this essential book for risk professionals and students. Outlines how to implement a sound operational risk management framework which is embedded in day-to-day business activities. It covers the main operational risk tools including categorisation, risk and control self-assessment and scenario analysis, and explores the importance of risk appetite and tolerance.
Fundamentals and Methods of Machine and Deep Learning : Algorithms, Tools, and Applications
provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications. In recent research studies, they are regarded as one of the disruptive technologies that will transform our future life, business, and the global economy. The recent explosion of digital data in a wide variety of domains, including science, engineering, Internet of Things, biomedical, healthcare, and many business sectors, has declared the era of big data, which cannot be analysed by classical statistics but by the more modern, robust machine learning and deep learning techniques. Since machine learning learns from data rather than by programming hard-coded decision rules, an attempt is being made to use machine learning to make computers that are able to solve problems like human experts in the field.
Fundamental approaches to software engineering ; 25th International Conference, FASE 2022, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022, Munich, Germany, April 2–7, 2022, Proceedings
The papers deal with the foundations on which software engineering is built, including topics like software engineering as an engineering discipline, requirements engineering, software architectures, software quality, model-driven development, software processes, software evolution, AI-based software engineering, and the specification, design, and implementation of particular classes of systems, such as (self-)adaptive, collaborative, AI, embedded, distributed, mobile, pervasive, cyber-physical, or service-oriented applications.
Functional Molecular Nanostructures
in This book some recent advances in the structural design of nanoscale assemblies are shown, along with examples from the following areas: supramolecular catalysis, photoactive assemblies, molecular recognition and switches, and electroactive assemblies.The last decade has witnessed an unprecedented pursuit of discrete, nanoscale supramolecular aggregates, built by modern methods of self-assembly strategies. Several efficient new synthetic methods have been developed for engineering spectacular multicomponentsupramolecular aggregates.
Fully-Depleted SOI CMOS Circuits and Technology for Ultralow-Power Applications
Fully-depleted SOI CMOS Circuits and Technology for Ultralow-Power Applications addresses the problem of reducing the supply voltage of conventional circuits for ultralow-power operation and explains power-efficient MTCMOS circuit design for FD-SOI devices at a supply voltage of 0.5 V. The topics include the minimum required knowledge of the fabrication of SOI substrates; FD-SOI devices and the latest developments in device and process technologies; and ultralow-voltage circuits, such as digital circuits, analog/RF circuits, and DC-DC converters. Each ultra-low-power technique related to devices and circuits is fully explained using figures to help understanding.
Frontiers of Numerical Analysis : Durham 2004
Contains lecture notes on four topics at the forefront of research in computational mathematics. This book presents a self-contained guide to a research area, an extensive bibliography, and proofs of the key results. It is suitable for professional mathematicians who require an accurate account of research in areas parallel to their own.
