Now in paperback, this book provides an overview of the physics of condensed matter systems. Assuming a familiarity with the basics of quantum mechanics and statistical mechanics, the book establishes a general framework for describing condensed phases of matter, based on symmetries and conservation laws. It explores the role of spatial dimensionality and microscopic interactions in determining the nature of phase transitions, as well as discussing the structure and properties of materials with different symmetries. Particular attention is given to critical phenomena and renormalization group methods. The properties of liquids, liquid crystals, quasicrystals, crystalline solids, magnetically ordered systems and amorphous solids are investigated in terms of their symmetry, generalised rigidity, hydrodynamics and topological defect structure. In addition to serving as a course text, this book is an essential reference for students and researchers in physics, applied physics, chemistry, materials science and engineering, who are interested in modern condensed matter physics.

Quantum field theory is the basic mathematical framework that is used to describe elementary particles. This textbook provides a complete and essential introduction to the subject. Assuming only an undergraduate knowledge of quantum mechanics and special relativity, this book is ideal for graduate students beginning the study of elementary particles. The step-by-step presentation begins with basic concepts illustrated by simple examples, and proceeds through historically important results to thorough treatments of modern topics such as the renormalization group, spinor-helicity methods for quark and gluon scattering, magnetic monopoles, instantons, supersymmetry, and the unification of forces. The book is written in a modular format, with each chapter as self-contained as possible, and with the necessary prerequisite material clearly identified. It is based on a year-long course given by the author and contains extensive problems, with password protected solutions available to lecturers at www.cambridge.org/9780521864497.

Beginning graduate students in mathematics and other quantitative subjects are expected to have a daunting breadth of mathematical knowledge. But few have such a background. This 2002 book will help students to see the broad outline of mathematics and to fill in the gaps in their knowledge. The author explains the basic points and a few key results of all the most important undergraduate topics in mathematics, emphasizing the intuitions behind the subject. The topics include linear algebra, vector calculus, differential geometry, real analysis, point-set topology, probability, complex analysis, abstract algebra, and more. An annotated bibliography then offers a guide to further reading and to more rigorous foundations. This book will be an essential resource for advanced undergraduate and beginning graduate students in mathematics, the physical sciences, engineering, computer science, statistics, and economics who need to quickly learn some serious mathematics.

While many scientists are familiar with fractals, fewer are familiar with scale-invariance and universality which underly the ubiquity of their shapes. These properties may emerge from the collective behaviour of simple fundamental constituents, and are studied using statistical field theories. Initial chapters connect the particulate perspective developed in the companion volume, to the coarse grained statistical fields studied here. Based on lectures taught by Professor Kardar at MIT, this textbook demonstrates how such theories are formulated and studied. Perturbation theory, exact solutions, renormalization groups, and other tools are employed to demonstrate the emergence of scale invariance and universality, and the non-equilibrium dynamics of interfaces and directed paths in random media are discussed. Ideal for advanced graduate courses in statistical physics, it contains an integrated set of problems, with solutions to selected problems at the end of the book and a complete set available to lecturers at www.cambridge.org/9780521873413.

Statistical physics has its origins in attempts to describe the thermal properties of matter in terms of its constituent particles, and has played a fundamental role in the development of quantum mechanics. Based on lectures taught by Professor Kardar at MIT, this textbook introduces the central concepts and tools of statistical physics. It contains a chapter on probability and related issues such as the central limit theorem and information theory, and covers interacting particles, with an extensive description of the van der Waals equation and its derivation by mean field approximation. It also contains an integrated set of problems, with solutions to selected problems at the end of the book and a complete set of solutions is available to lecturers on a password protected website at www.cambridge.org/9780521873420. A companion volume, Statistical Physics of Fields, discusses non-mean field aspects of scaling and critical phenomena, through the perspective of renormalization group.

This authoritative translation by John Cottingham of the Meditations is taken from the much acclaimed three-volume Cambridge edition of the Philosophical Writings of Descartes. It is based on the best available texts and presents Descartes' central metaphysical writings in clear, readable modern English.

The second in the family of best-selling vocabulary reference and practice books from elementary to advanced level. Vocabulary is clearly presented and contextualized on left-hand pages with practice activities on facing right-hand pages. This book is primarily designed as a self-study reference and practice text but it can also be used for classroom work. This second edition has been fully revised to ensure that the vocabulary presented is current and relevant. It is beautifully illustrated in full colour and contains 100 units. This edition 'with answers' is ideal for self-study.

Book Description
Historical records show that there was no real concept of probability in Europe before the mid-seventeenth century, although the use of dice and other randomizing objects was commonplace. Ian Hacking presents a philosophical critique of early ideas about probability, induction, and statistical inference and the growth of this new family of ideas in the fifteenth, sixteenth, and seventeenth centuries. The contemporary debates center around figures such as Pascal, Leibniz, and Jacques Bernoulli. Hacking invokes a wider intellectual framework involving the growth of science, economics, and the theology of the period. He argues that the transformations that made it possible for probability concepts to emerge have constrained all subsequent development of probability theory and determine the space within which philosophical debate on the subject is still conducted. First published in 1975, this edition includes a new introduction that contextualizes his book in light of new work and philosophical trends.

In this important new study Ian Hacking continues the enquiry into the origins and development of certain characteristic modes of contemporary thought undertaken in such previous works as his best selling Emergence of Probability. Professor Hacking shows how by the late nineteenth century it became possible to think of statistical patterns as explanatory in themselves, and to regard the world as not necessarily deterministic in character. Combining detailed scientific historical research with characteristic philosophic breath and verve, The Taming of Chance brings out the relations among philosophy, the physical sciences, mathematics and the development of social institutions, and provides a unique and authoritative analysis of the "probabilization" of the Western world.

This book is a study of ancient views about 'moral luck'. It examines the fundamental ethical problem that many of the valued constituents of a well-lived life are vulnerable to factors outside a person's control, and asks how this affects our appraisal of persons and their lives. The Greeks made a profound contribution to these questions, yet neither the problems nor the Greek views of them have received the attention they deserve. This book thus recovers a central dimension of Greek thought and addresses major issues in contemporary ethical theory. One of its most original aspects is its interrelated treatment of both literary and philosophical texts. The Fragility of Goodness has proven to be important reading for philosophers and classicists, and its non-technical style makes it accessible to any educated person interested in the difficult problems it tackles. This new edition features an entirely new preface by Martha Nussbaum.

Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online.

How can protests influence policymaking in a repressive dictatorship? Responsive Authoritarianism in China sheds light on this important question through case studies of land takings and demolitions - two of the most explosive issues in contemporary China. In the early 2000s, landless farmers and evictees unleashed waves of disruptive protests. Surprisingly, the Chinese government responded by adopting wide-ranging policy changes that addressed many of the protesters' grievances. Heurlin traces policy changes from local protests in the provinces to the halls of the National People's Congress (NPC) in Beijing. In doing so, he highlights the interplay between local protests, state institutions, and elite politics. He shows that the much-maligned petitioning system actually plays an important role in elevating protesters' concerns to the policymaking agenda. Delving deep into the policymaking process, the book illustrates how the State Council and NPC have become battlegrounds for conflicts between ministries and local governments over state policies.

Class-tested and coherent, this groundbreaking new textbook teaches classic web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. Written from a computer science perspective by three leading experts in the field, it gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Although originally designed as the primary text for a graduate or advanced undergraduate course in information retrieval, the book will also create a buzz for researchers and professionals alike.
Contents
1. Information retrieval using the Boolean model; 2. The dictionary and postings lists; 3. Tolerant retrieval; 4. Index construction; 5. Index compression; 6. Scoring and term weighting; 7. Vector space retrieval; 8. Evaluation in information retrieval; 9. Relevance feedback and query expansion; 10. XML retrieval; 11. Probabilistic information retrieval; 12. Language models for information retrieval; 13. Text classification and Naive Bayes; 14. Vector space classification; 15. Support vector machines and kernel functions; 16. Flat clustering; 17. Hierarchical clustering; 18. Dimensionality reduction and latent semantic indexing; 19. Web search basics; 20. Web crawling and indexes; 21. Link analysis.
Reviews
“This is the first book that gives you a complete picture of the complications that arise in building a modern web-scale search engine. You'll learn about ranking SVMs, XML, DNS, and LSI. You'll discover the seedy underworld of spam, cloaking, and doorway pages. You'll see how MapReduce and other approaches to parallelism allow us to go beyond megabytes and to efficiently manage petabytes." -Peter Norvig, Director of Research, Google Inc.
"Introduction to Information Retrieval is a comprehensive, up-to-date, and well-written introduction to an increasingly important and rapidly growing area of computer science. Finally, there is a high-quality textbook for an area that was desperately in need of one." -Raymond J. Mooney, Professor of Computer Sciences, University of Texas at Austin
“Through compelling exposition and choice of topics, the authors vividly convey both the fundamental ideas and the rapidly expanding reach of information retrieval as a field.” -Jon Kleinberg, Professor of Computer Science, Cornell University

For many applications, a randomized algorithm is either the simplest or the fastest algorithm available, and sometimes both. This book introduces the basic concepts in the design and analysis of randomized algorithms. The first part of the text presents basic tools such as probability theory and probabilistic analysis that are frequently used in algorithmic applications. Algorithmic examples are also given to illustrate the use of each tool in a concrete setting. In the second part of the book, each chapter focuses on an important area to which randomized algorithms can be applied, providing a comprehensive and representative selection of the algorithms that might be used in each of these areas. Although written primarily as a text for advanced undergraduates and graduate students, this book should also prove invaluable as a reference for professionals and researchers.

This innovative analysis investigates a complex issue of tremendous economic and political importance: what makes some countries vulnerable to banking crises, while others emerge unscathed? Banks on the Brink explains why some countries are more vulnerable to banking crises than others. Copelovitch and Singer highlight the effects of two variables in combination: foreign capital inflows and the relative prominence of securities markets in the domestic financial system. Foreign capital is the fuel for banks' potentially dangerous behavior, and banks are more likely to take on excessive risks when operating in a financial system with large securities markets. The book analyzes over thirty years of data and provides historical case studies of two key countries, Canada and Germany, each of which explores how political decisions in the 19th and early-20th centuries continue to affect financial stability today. The analyses in this book have crucial policy implications, identifying potential regulations and policies that can work to protect banking systems against future crises.
Stresses the under-explored relationship between banking systems, securities markets, and financial crises, illuminating the profound impact of factors on subsequent crises
Highlights the impact politics has on the development of a nation's financial markets, across space and time, in order to point out when and why banking systems become more prone to crisis
Uses comprehensive data analysis, in tandem with two historical case studies, Canada and Germany, in order to expand the study of financial crises beyond singular events and focus on enduring, institutional factors

This book explores the Eurasian borderlands as contested 'shatter zones' which have generated some of the world's most significant conflicts. Analyzing the struggles of Habsburg, Russian, Ottoman, Iranian and Qing empires, Alfred J. Rieber surveys the period from the rise of the great multicultural, conquest empires in the late medieval/early modern period to their collapse in the early twentieth century. He charts how these empires expanded along moving, military frontiers, competing with one another in war, diplomacy and cultural practices, while the subjugated peoples of the borderlands strove to maintain their cultures and to defend their autonomy. The gradual and fragmentary adaptation of Western constitutional ideas, military reforms, cultural practices and economic penetration began to undermine these ruling ideologies and institutions, leading to the collapse of all five empires in revolution and war within little more than a decade between 1911 and 1923.

This comparative historical sociology of the Bolshevik revolutionaries offers a reinterpretation of political radicalization in the last years of the Russian Empire. Finding that two-thirds of the Bolshevik leadership were ethnic minorities - Ukrainians, Latvians, Georgians, Jews and others - this book examines the shared experiences of assimilation and socioethnic exclusion that underlay their class universalism. It suggests that imperial policies toward the Empire's diversity radicalized class and ethnicity as intersectional experiences, creating an assimilated but excluded elite: lower-class Russians and middle-class minorities universalized particular exclusions as they disproportionately sustained the economic and political burdens of maintaining the multiethnic Russian Empire. The Bolsheviks' social identities and routes to revolutionary radicalism show especially how a class-universalist politics was appealing to those seeking secularism in response to religious tensions, a universalist politics where ethnic and geopolitical insecurities were exclusionary, and a tolerant 'imperial' imaginary where Russification and illiberal repressions were most keenly felt.

In treating memory as a cultural rather than an individual faculty, this book provides an account of how bodily practices are transmitted in, and as, traditions. Most studies of memory as a cultural faculty focus on written, or inscribed transmissions of memories. Paul Connerton, on the other hand, concentrates on bodily (or incorporated) practices, and so questions the currently dominant idea that literary texts may be taken as a metaphor for social practices generally. The author argues that images of the past and recollected knowledge of the past are conveyed and sustained by ritual performances and that performative memory is bodily. Bodily social memory is an essential aspect of social memory, but it is an aspect which has until now been badly neglected. An innovative study, this work should be of interest to researchers into social, political and anthropological thought as well as to graduate and undergraduate students.

In this comparative-historical analysis of Spanish America, Mahoney offers a new theory of colonialism and postcolonial development. He explores why certain kinds of societies are subject to certain kinds of colonialism and why these forms of colonialism give rise to countries with differing levels of economic prosperity and social well-being. Mahoney contends that differences in the extent of colonialism are best explained by the potentially evolving fit between the institutions of the colonizing nation and those of the colonized society. Moreover, he shows how institutions forged under colonialism bring countries to relative levels of development that may prove remarkably enduring in the postcolonial period. The argument is sure to stir discussion and debate, both among experts on Spanish America who believe that development is not tightly bound by the colonial past, and among scholars of colonialism who suggest that the institutional identity of the colonizing nation is of little consequence.

The book considers the past accomplishments and future agendas of comparative-historical research in the social sciences. It defines the distinctiveness of this type of research and explores its strengths in explaining important outcomes (e.g. revolutions, social provision, democracy) in the world. It includes sections on substantive research accomplishments, methodology, and theory, and features essays by some of the most important political scientists and sociologists currently working.
This review of the accomplishments and future agendas of comparative historical research in the social sciences explores its strengths in explaining important worldwide outcomes (e.g., revolutions, social provision, democracy). It includes sections on substantive research accomplishments, methodology, and theory, and features essays by some of the most important political scientists and sociologists currently working.