Bücher veröffentlicht von Springer New York

The study of the brain and behavior is illuminated with the discovery of invariances. Experimental brain research uncovers constancies amidst variation, with respect to interventions and transformations prescribed by experimental paradigms. Place cells, mirror neurons, event related potentials and areas differentially active in fMRI, all illustrate the pervasive role of invariances in neural systems in relation to their function.

This the fifth volume of five from the 28th IMAC on Structural Dynamics and Renewable Energy, 2010, brings together 19 chapters on the Dynamics of Bridges. It presents early findings from experimental as well as computational investigations on the Dynamics of Bridges, including studies on Modeling Environmental Effects on the Dynamic Characteristics of the Tamar Suspension, Structural Health Monitoring of Bridges, Structural Assessment of Damaged Bridges Using Ambient Vibration Testing, and Development of a Tamar Bridge Finite Element Model.

This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine learning. It is written in an extremely accessible style, with elaborate motivating discussions and numerous worked out examples and exercises. The book has 20 chapters on a wide range of topics, 423 worked out examples, and 808 exercises. It is unique in its unification of probability and statistics, its coverage and its superb exercise sets, detailed bibliography, and in its substantive treatment of many topics of current importance.This book can be used as a text for a year long graduate course in statistics, computer science, or mathematics, for self-study, and as an invaluable research reference on probabiliity and its applications. Particularly worth mentioning are the treatments of distribution theory, asymptotics, simulation and Markov Chain Monte Carlo, Markov chains and martingales, Gaussian processes, VC theory, probability metrics, large deviations, bootstrap, the EM algorithm, confidence intervals, maximum likelihood and Bayes estimates, exponential families, kernels, and Hilbert spaces, and a self contained complete review of univariate probability.

This brief considers the various stakeholders in today's mobile device ecosystem, and analyzes why widely-deployed hardware security primitives on mobile device platforms are inaccessible to application developers and end-users. Existing proposals are also evaluated for leveraging such primitives, and proves that they can indeed strengthen the security properties available to applications and users, without reducing the properties currently enjoyed by OEMs and network carriers. Finally, this brief makes recommendations for future research that may yield practical and deployable results.

This book takes the reader on an exploration of the structure and evolution of our universe. The basis for our knowledge is the Big Bang theory of the expanding universe. This book then tells the story of our search for the first stars and galaxies using current and planned telescopes. These telescopes are marvels of technology far removed from Galileo's first telescope but continuing astronomy in his ground breaking spirit. We show the reader how these first stars and galaxies shaped the universe we see today. This story is one of the great scientific adventures of all time.

This book describes the design of optical receivers that use the most economical integration technology, while enabling performance that is typically only found in very expensive devices. To achieve this, all necessary functionality, from light detection to digital output, is integrated on a single piece of silicon. All building blocks are thoroughly discussed, including photodiodes, transimpedance amplifiers, equalizers and post amplifiers.

Although widely recognized as an important waterborne pathogen, Giardia duodenalis can also be transmitted by contamination of food. The same properties of this protozoan parasite that mean that water is an excellent transmission vehicle are also important for foodborne transmission. These include the low infective dose, the high number of cysts that are excreted, and the robustness of these transmission stages. However, many more outbreaks of waterborne giardiasis have been reported than foodborne outbreaks. This is probably partly due to epidemiological tracing being much more difficult for foodborne outbreaks than waterborne outbreaks, and the number of persons exposed to infection often being fewer. Nevertheless, the potential importance of foodborne transmission is gradually being recognized, and a wide range of different foodstuffs have been associated with those outbreaks that have been recorded. Additionally, various factors mean that the potential for foodborne transmission is becoming of increasing importance: these include the growth of international food trade, a current trend for eating raw or very lightly cooked foods, and the rise in small-scale organic farms, where there the possibility for contamination of vegetable crops with animal faeces may be greater.

The goal of this book is to introduce the biological and technical aspects of next generation sequencing methods, as well as algorithms to assemble these sequences into whole genomes. The book is organized into two parts; part 1 introduces NGS methods and part 2 reviews assembly algorithms and gives a good insight to these methods for readers new to the field. Gathering information, about sequencing and assembly methods together, helps both biologists and computer scientists to get a clear idea about the field. Chapters will include information about new sequencing technologies such as ChIp-seq, ChIp-chip, and De Novo sequence assembly.

reason for delaying its study has to do with the question of mathematical maturity. * No use is made here of trigonometric, logarithmic, or expo­ nential functions except in occasional optional material indicating how such functions can be handled. A perceptive remark made by George P6lya suggests how we can simultaneously learn mathematics and learn "about" mathematics-i.e., about the nature of mathematics and how it is developed: If the learning of mathematics reflects to any degree the invention of mathematics, it must have a place for guessing, for plausible inference. The reader will find plenty of opportunity here for guessing. The early chapters go at a gentle pace and invite the reader to enter into the spirit of the investigation. Exercises asking the reader to "make a guess" should be taken in this spirit-as simply an invitation to speculate about what is the likely truth in a given situation without feeling any pressure to guess "correctly". Readers will soon realize that a matter about which they are asked to guess will likely be a topic of serious discussion later on.

This book has evolved from my experience over the past decade in teaching and doing research in functional analysis and certain of its appli- cations. These applications are to optimization theory in general and to best approximation theory in particular. The geometric nature of the subjects has greatly influenced the approach to functional analysis presented herein, especially its basis on the unifying concept of convexity. Most of the major theorems either concern or depend on properties of convex sets; the others generally pertain to conjugate spaces or compactness properties, both of which topics are important for the proper setting and resolution of optimization problems. In consequence, and in contrast to most other treatments of functional analysis, there is no discussion of spectral theory, and only the most basic and general properties of linear operators are established. Some of the theoretical highlights of the book are the Banach space theorems associated with the names of Dixmier, Krein, James, Smulian, Bishop-Phelps, Brondsted-Rockafellar, and Bessaga-Pelczynski. Prior to these (and others) we establish to two most important principles of geometric functional analysis: the extended Krein-Milman theorem and the Hahn- Banach principle, the latter appearing in ten different but equivalent formula- tions (some of which are optimality criteria for convex programs). In addition, a good deal of attention is paid to properties and characterizations of conjugate spaces, especially reflexive spaces.

Approximately 10 years have passed since the publication of And Yet 1 It Moves: Strange Systems and Subtle Questions in Physics. During this time, the book has done very well, being received favorably by both readers and reviewers. The exhaustion of the last printing has given me the opportunity to make revisions. The present volume, updated and expanded by three new chapters containing a total of 17 additional essays on a wide range of questions that I have explored in quantum mechanics, nuclear physics, thermodynamics, general relativity, and astrophysics, has been given a new title to re?ect the broad thematic coverage and a new publisher (Springer-Verlag). The Introduction (The Fire Within) that follows, based on the preface to the original edition, explains fully the purpose and content of this book. I wish to note brie?y here, however, that time and the advance of physics have not dulled the scienti?c relevance of any of the essays. This book, like its predecessor, is not intended to be a popularization, a textbook, or a monograph of any ?eld of physics. Rather, it is a p- sonal account of the scienti?c underpinnings, motivations, lessons, and rami?cations of some of the many fundamental physical problems that have engaged me throughout my career to the present. These are essays that anyone with an interest in contemporary physics can read, although it is certainly the case that the more serious the interest, the more meaningful will be the essays.

This book was written to make learning introductory algebraic geometry as easy as possible. It is designed for the general first- and second-year graduate student, as well as for the nonspecialist; the only prerequisites are a one-year course in algebra and a little complex analysis. There are many examples and pictures in the book. One's sense of intuition is largely built up from exposure to concrete examples, and intuition in algebraic geometry is no exception. I have also tried to avoid too much generalization. If one under- stands the core of an idea in a concrete setting, later generalizations become much more meaningful. There are exercises at the end of most sections so that the reader can test his understanding of the material. Some are routine, others are more challenging. Occasionally, easily established results used in the text have been made into exercises. And from time to time, proofs of topics not covered in the text are sketched and the reader is asked to fill in the details. Chapter I is of an introductory nature. Some of the geometry of a few specific algebraic curves is worked out, using a tactical approach that might naturally be tried by one not familiar with the general methods intro- duced later in the book. Further examples in this chapter suggest other basic properties of curves. In Chapter II, we look at curves more rigorously and carefully.

This book is not what it seems. It appears to be about technology, but it is really about people. It looks like a history book, but it is really an adventure story. Even its title is an oxymoron. These ambiguities are intentional, the paradoxes planned. The micro­ processor is not only a supremely important invention, but also a Rosetta Stone of our culture. To see how a microprocessor is made is to understand our cur­ rent limits of technology; to understand how it works is to appreciate the present sophistication of engineering; and to know how it is used is to discern the underlying social forces that are transforming our world. Even the events surrounding the microprocessor industry-the new marketing techniques, the litigation, the business partnerships-regularly set precedents that are soon followed by other industries. Thus the microprocessor, more than any other product, decodes and defines modern life. That's why understanding the microprocessor from every perspective is vitally important for all of us. And that is why The Microprocessor: A Biography was not written for a select audience, but for every audience-and especially for the general reader. If, as I believe, the microprocessor will define our lives for at least the next generation, if it has the potential for both great good and great evil, then for our own sake we need to know about the microprocessor in order to maintain control over it.

This book was written expressly to serve as a textbook for a one- or two-semester introductory graduate course in functional analysis. Its (soon to be published) companion volume, Operators on Hilbert Space, is in- tended to be used as a textbook for a subsequent course in operator theory. In writing these books we have naturally been concerned with the level of preparation of the potential reader, and, roughly speaking, we suppose him to be familiar with the approximate equivalent of a one-semester course in each of the following areas: linear algebra, general topology, complex analysis, and measure theory. Experience has taught us, however, that such a sequence of courses inevitably fails to treat certain topics that are important in the study of functional analysis and operator theory. For example, tensor products are frequently not discussed in a first course in linear algebra. Likewise for the topics of convergence of nets and the Baire category theorem in a course in topology, and the connections between measure and topology in a course in measure theory. For this reason we have chosen to devote the first ten chapters of this volume (entitled Part I) to topics of a preliminary nature. In other words, Part I summarizes in considerable detail what a student should (and eventually must) know in order to study functional analysis and operator theory successfully.

i.l Overview for Instructors The purpose of this text is to provide an introduction to the problem-solving capabilities of Fortran 90. The intended audience is undergraduate science and engineering students who have not previously taken a formal programming course. The focus is on the process of solving computational problems of interest to scientists and engineers, rather than on programming per se, which has several important implications for the contents of the text, as outlined later in the Preface. Fortran has long been favored as an introductory programming language for engineering and science students because of its historical roots and continued prominence in the professional practice of these disciplines. The Fortran 77 standard has been taught, within an essentially mainframe context, to an entire generation of scientists and engineers. However, many of the science and engineering calculations that, a generation ago, could be done only on mainframe computers can now be done on desktop computers, often using applications that don't require any programming at all.

Intended as an introduction to robot mechanics for students of mechanical, industrial, electrical, and bio-mechanical engineering, this graduate text presents a wide range of approaches and topics. It avoids formalism and proofs but nonetheless discusses advanced concepts and contemporary applications. It will thus also be of interest to practicing engineers. The book begins with kinematics, emphasizing an approach based on rigid-body displacements instead of coordinate transformations; it then turns to inverse kinematic analysis, presenting the widely used Pieper-Roth and zero-reference-position methods. This is followed by a discussion of workplace characterization and determination. One focus of the discussion is the motion made possible by sperical and other novel wrist designs. The text concludes with a brief discussion of dynamics and control. An extensive bibliography provides access to the current literature.

This book is based on courses given at Columbia University on vector bun- dles (1988) and on the theory of algebraic surfaces (1992), as well as lectures in the Park City lIAS Mathematics Institute on 4-manifolds and Donald- son invariants. The goal of these lectures was to acquaint researchers in 4-manifold topology with the classification of algebraic surfaces and with methods for describing moduli spaces of holomorphic bundles on algebraic surfaces with a view toward computing Donaldson invariants. Since that time, the focus of 4-manifold topology has shifted dramatically, at first be- cause topological methods have largely superseded algebro-geometric meth- ods in computing Donaldson invariants, and more importantly because of and Witten, which have greatly sim- the new invariants defined by Seiberg plified the theory and led to proofs of the basic conjectures concerning the 4-manifold topology of algebraic surfaces. However, the study of algebraic surfaces and the moduli spaces of bundles on them remains a fundamen- tal problem in algebraic geometry, and I hope that this book will make this subject more accessible. Moreover, the recent applications of Seiberg- Witten theory to symplectic 4-manifolds suggest that there is room for yet another treatment of the classification of algebraic surfaces. In particular, despite the number of excellent books concerning algebraic surfaces, I hope that the half of this book devoted to them will serve as an introduction to the subject.