This is volume 1 of two-volume book that presents an excellent, comprehensive exposition of the multi-faceted subjects of modern condensed matter physics, unified within an original and coherent conceptual framework. Traditional subjects such as band theory and lattice dynamics are tightly organized in this framework, while many new developments emerge spontaneously from it. In this volume,• Basic concepts are emphasized; usually they are intuitively introduced, then more precisely formulated, and compared with correlated concepts.• A plethora of new topics, such as quasicrystals, photonic crystals, GMR, TMR, CMR, high Tc superconductors, Bose-Einstein condensation, etc., are presented with sharp physical insights.• Bond and band approaches are discussed in parallel, breaking the barrier between physics and chemistry.• A highly accessible chapter is included on correlated electronic states — rarely found in an introductory text.• Introductory chapters on tunneling, mesoscopic phenomena, and quantum-confined nanostructures constitute a sound foundation for nanoscience and nanotechnology.• The text is profusely illustrated with about 500 figures.
What do we do when life throws rocks at us? “Instead of trying to discipline your mind with ill will, fault-finding, guilt, punishment, and fear, use something far more powerful: the beautiful kindness, gentleness, and forgiveness of making peace with life.”—Ajahn Brahm “In free fall, nothing is solid and there is nothing to hold on to. There is no way to control the experience. You have to surrender, and with that surrender comes the taste of liberation.”—Master Guojun Most of us tend to live each day as if it will be just another day—like nothing will change. It always comes as a shock when we lose a job, a loved one, a relationship, our health—even though we’ve seen it happen again and again to those around us. Once we finally realize we’re not immune, then we wonder: what now? How do we continue when the terrain suddenly gets rough? Meet your companions for this rocky part of the path: Ajahn Brahm and Chan Master Guojun—one a teacher in the Theravada Buddhist tradition, the other in the Chinese Zen tradition. These two beloved meditation masters share personal stories and anecdotes from their own experiences of dealing with life’s pitfalls. You’ll learn from their honest, generous teachings how you can live fully—even flourish—even when the road ahead looks steep and lonely. Personal, poetic, instructive, and often laugh-out-loud funny, this is inspiring advice for people from all walks of life. “Falling is Flying is truly unique because it offers a rare glimpse into the personal lives of two living Buddhist masters. With unflinching honesty, Ajahn Brahm and Chan Master Guojun share the struggles they’ve faced, even after becoming monks and respected teachers. Throughout the book, we see how, instead of turning away in aversion from adversity, they’ve used it as a stepping stone for finding the peace and happiness we all seek. I love this book and recommend it most highly!” —Toni Bernhard, author of How To Be Sick
Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this monograph in 2007, development in the area has exploded, especially in clustering algorithms for big data and open-source software for cluster analysis. This second edition reflects these new developments, covers the basics of data clustering, includes a list of popular clustering algorithms, and provides program code that helps users implement clustering algorithms. Data Clustering: Theory, Algorithms and Applications, Second Edition will be of interest to researchers, practitioners, and data scientists as well as undergraduate and graduate students.
The industrialization of information resources has been a growing trend across the world in recent years, especially in China, where the information resource industry (IRI) has expanded exponentially for over more than a decade. While analysing the development conditions of China's IRI, this book clearly defines the implications and strategic value of the industry, summarizes basic IRI theories, and clarifies the history of its development and special regional characteristics within the Chinese context. Drawing on the statistics and measurement of various economic indicators of IRI, the authors propose four stages of development: a germination period; an initial development period; a subsequent rapid development period; and lastly, a steady development period. At the same time, the book draws upon various theoretical models such as the “Dynamic Resource Triangle” model, the “Information Resource Industrial Symbiosis” model, the value chain model and the explanation model of information consumption in order to shed light on IRI's elements and the optimization of its management. In addition, the authors present the Information Resource Industry Development Index (IRIDI) to evaluate IRI’s development in different provinces and cities across Mainland China and monitor its dynamics from the point of view of industrial value and the external environment. While the book lays a solid theoretical foundation for the growth of China’s IRI, it will also give international readers a clear picture of China's emerging industries in the current era. As an emerging strategic industry in China, the information resource industry (IRI) has had and will continue to have a growing impact on economic and social development. Focusing on the special characteristics of IRI policies in China, this book provides an in-depth discussion of the major directions, methods, and paths of development for IRI policies via a comprehensive analysis of the structural, organizational, promotional policies and policy instruments of China’s IRI. Concentrating on policy instruments, the book, for the first time, provides a systematic, all-rounded review of China’s IRI policies that have been released to date, and proposes a “China Information Resource Industry Policy Library” comprising six types of IRI policy documents: organizational, information, regulatory, incentives, market, and social. The whole contributes to a comprehensive understanding of the application of various IRI policies in China, and also supports the decision making behind and building of industrial policies.
This book is devoted to the mathematical methods of metamodeling that can be used to speed up the valuation of large portfolios of variable annuities. It is suitable for advanced undergraduate students, graduate students, and practitioners. It is the goal of this book to describe the computational problems and present the metamodeling approaches in a way that can be accessible to advanced undergraduate students and practitioners. To that end, the book will not only describe the theory of these mathematical approaches, but also present the implementations.
This book addresses several knowledge discovery problems on multi-sourced data where the theories, techniques, and methods in data cleaning, data mining, and natural language processing are synthetically used. This book mainly focuses on three data models: the multi-sourced isomorphic data, the multi-sourced heterogeneous data, and the text data. On the basis of three data models, this book studies the knowledge discovery problems including truth discovery and fact discovery on multi-sourced data from four important properties: relevance, inconsistency, sparseness, and heterogeneity, which is useful for specialists as well as graduate students. Data, even describing the same object or event, can come from a variety of sources such as crowd workers and social media users. However, noisy pieces of data or information are unavoidable. Facing the daunting scale of data, it is unrealistic to expect humans to “label” or tell which data source is more reliable. Hence, it is crucial to identify trustworthy information from multiple noisy information sources, referring to the task of knowledge discovery. At present, the knowledge discovery research for multi-sourced data mainly faces two challenges. On the structural level, it is essential to consider the different characteristics of data composition and application scenarios and define the knowledge discovery problem on different occasions. On the algorithm level, the knowledge discovery task needs to consider different levels of information conflicts and design efficient algorithms to mine more valuable information using multiple clues. Existing knowledge discovery methods have defects on both the structural level and the algorithm level, making the knowledge discovery problem far from totally solved.
Excel Visual Basic for Applications (VBA) can be used to automate operations in Excel and is one of the most frequently used software programs for manipulating data and building models in banks and insurance companies. An Introduction to Excel VBA Programming: with Applications in Finance and Insurance introduces readers to the basic fundamentals of VBA Programming while demonstrating applications of VBA to solve real-world problems in finance and insurance. Assuming no prior programming experience and with reproducible examples using code and data, this text is suitable for advanced undergraduate students, graduate students, actuaries, and financial analysts who wish to learn VBA. Features: Presents the theory behind the algorithms in detail Includes more than 100 exercises with selected solutions Provides VBA code in Excel files and data to reproduce the results in the book Offers a solutions manual for qualified instructors
This is the second volume expanding Agrarian Policies of Mainland China: A Documentary Study, 1949-1956. It presents key documents emanating from Peking, many of them translated into English for the first time.
Actuarial loss models are statistical models used by insurance companies to estimate the frequency and severity of future losses, set premiums, and reserve funds to cover potential claims. Actuarial loss models are a subject in actuarial mathematics that focus on the pricing and reserving for short-term coverages. This is a concise textbook written for undergraduate students majoring in actuarial science who wish to learn the basics of actuarial loss models. This book can be used as a textbook for a one-semester course on actuarial loss models. The prerequisite for this book is a first course on calculus. The reader is supposed to be familiar with differentiation and integration. This book covers part of the learning outcomes of the Fundamentals of Actuarial Mathematics (FAM) exam and the Advanced Short-Term Actuarial Mathematics (ASTAM) exam administered by the Society of Actuaries. It can be used by actuarial students and practitioners who prepare for the aforementioned actuarial exams. Key Features: Review core concepts in probability theory. Cover important topics in actuarial loss models. Include worked examples. Provide both theoretical and numerical exercises. Include solutions of selected exercises.
This book explores the paradox of the hospitality industry: customers demand not only personal and innovative tourism products and services, but also cost-effective ones. Enterprises have the option to meet the former demand by offering authentic products and services while the latter could be achieved through standardization. Although it seems ideal to combine both concepts, they seemingly contradict each other leading to suppliers facing an authenticity-standardization paradox. The authors identify, analyze, and provide solutions for this authenticity-standardization paradox based on a series of case studies of restaurants in China. This book will be of interest to scholars, business owners, and consultants.
An introduction to the mathematical theory and financial models developed and used on Wall Street Providing both a theoretical and practical approach to the underlying mathematical theory behind financial models, Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach presents important concepts and results in measure theory, probability theory, stochastic processes, and stochastic calculus. Measure theory is indispensable to the rigorous development of probability theory and is also necessary to properly address martingale measures, the change of numeraire theory, and LIBOR market models. In addition, probability theory is presented to facilitate the development of stochastic processes, including martingales and Brownian motions, while stochastic processes and stochastic calculus are discussed to model asset prices and develop derivative pricing models. The authors promote a problem-solving approach when applying mathematics in real-world situations, and readers are encouraged to address theorems and problems with mathematical rigor. In addition, Measure, Probability, and Mathematical Finance features: A comprehensive list of concepts and theorems from measure theory, probability theory, stochastic processes, and stochastic calculus Over 500 problems with hints and select solutions to reinforce basic concepts and important theorems Classic derivative pricing models in mathematical finance that have been developed and published since the seminal work of Black and Scholes Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach is an ideal textbook for introductory quantitative courses in business, economics, and mathematical finance at the upper-undergraduate and graduate levels. The book is also a useful reference for readers who need to build their mathematical skills in order to better understand the mathematical theory of derivative pricing models.
Data clustering is a highly interdisciplinary field, the goal of which is to divide a set of objects into homogeneous groups such that objects in the same group are similar and objects in different groups are quite distinct. Thousands of theoretical papers and a number of books on data clustering have been published over the past 50 years. However,
This book provides a comprehensive introduction to the analysis of functionally graded materials and structures. Functionally graded materials (FGMs), in which the volume fractions of two or more constituent materials are designed to vary continuously as a function of position along certain direction(s), have been developed and studied over the past three decades. The major advantage of FGMs is that no distinct internal boundaries exist, and failures from interfacial stress concentrations developed in conventional components can be avoided. The gradual change of material properties can be tailored to different applications and working environments. As these materials’ range of application expands, new methodologies have to be developed to characterize them, and to design and analyze structural components made of them. Despite a number of existing papers on the analysis of functionally graded materials and structures, there is no single book that is devoted entirely to the analysis of functionally graded beams, plates and shells using different methods, e.g.,analytical or semi-analytical methods. Filling this gap in the literature, the book offers a valuable reference resource for senior undergraduates, graduate students, researchers, and engineers in this field. The results presented here can be used as a benchmark for checking the validity and accuracy of other numerical solutions. They can also be used directly in the design of functionally graded materials and structures.
This book discusses various passive and active techniques for controlling unsteady flow dynamics and associated coupled mechanics of fluid-structure interaction. Coupled multiphysics and multidomain simulations are emerging and challenging research areas, which have received significant attention during the past decade. One of the most common multiphysics and multidomain problems is fluid-structure interaction (FSI), i.e., the study of coupled physical systems involving fluid and a structure that have a mechanical influence on each other. Regardless of the application area, the investigation toward modeling of fluid-structure interaction and the underlying mechanisms in dealing with coupled fluid-structure instability with real-world applications remains a challenge to scientists and engineers. This book is designed for students and researchers who seek knowledge of computational modeling and control strategies for fluid-structure interaction. Specifically, this book provides a comprehensive review of the underlying unsteady physics and coupled mechanical aspects of the fluid-structure interaction of freely vibrating bluff bodies, the self-induced flapping of thin flexible structures, and aeroelasticity of shell structures. Understanding flow-induced loads and vibrations can lead to safer and cost-effective structures, especially for light and high-aspect ratio structures with increased flexibility and harsh environmental conditions. Using the body-fitted and moving mesh formulations, the physical insights associated with structure-to-fluid mass ratios, Reynolds number, nonlinear structural deformation, proximity interference, near-wall contacts, free-surface, and other interacting physical fields are covered in this book. In conjunction with the control techniques, data-driven model reduction approaches based on subspace projection and deep neural calculus are covered for low-dimensional modeling of unsteady fluid-structure interaction.
The industrialization of information resources has been a growing trend across the world in recent years, especially in China, where the information resource industry has expanded exponentially for more than a decade. While analyzing the development conditions of China's information resource industry, this book clearly defines the implications and strategic value of the industry, summarizes basic information resource industry theories, and clarifies the history of its development and special regional characteristics within the Chinese context. Drawing on the statistics and measurement of various economic indicators of the information resource industry, the authors propose four stages of development: a germination period, an initial development period, a subsequent rapid development period, and lastly, a steady development period. At the same time, the book draws upon various theoretical models such as the "Dynamic Resource Triangle" model, the "Information Resource Industrial Symbiosis" model, the value chain model, and the explanation model of information consumption in order to shed light on the information resource industry's elements and the optimization of its management. In addition, the authors present the Information Resource Industry Development Index (IRIDI) to evaluate the industry’s development in different provinces and cities across mainland China and monitor its dynamics from the point of view of industrial value and the external environment. While the book lays a solid theoretical foundation for the growth of China’s information resource industry, it will also give international readers a clear picture of China's emerging industries in the current era.
This book analyses the social and economic problems that are outstanding in Dongguan due to financial crisis, containing relevant proposals for the reference of the government and enterprises. Meanwhile, it includes some new theoretical generalization about the new problems arising in economic practice and provides development economics with new theoretical elements to push its further development.
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