What’s Going on Out There?Author Steve Taylor takes trips to the edge of the church envelope and sends us back what he’s finding inside the emerging church around the globe. From the revival of ancient spiritual practices to the rise of multimedia, each of his posts sketches a view of the body of Christ in wild flux. Topics include: birth; pilgrimage; community; creativity; DJing; and leading and following.
The Essentials of Finance for School Leaders: A Practical Handbook for Problem-Solving and Meeting Challenges is carefully authored to provide supervisory practitioners at the school building level with the vital tools of school finance literacy alongside an understanding of school finance policy that impacts the everyday operation of today’s public schools. This book is designed for candidates in entry-level school building leadership programs as well as for inexperienced and experienced school principals, assistant principals, department chairs, dean of students, financial secretaries, local school bursars, faculty treasurers, and more.
In the near future, real cars are used to play a dangerous game. The game has it all speed, strategy, explosions, all of it virtual, played out on computerized windshields in a tightly controlled environment. Two brothers are living and breathing the game. They're getting good. Everything is under control. But then somebody breaks the rules, and the brothers have to chase him down before it's too late. The stakes are life or death, and the game is for real now as they head off the playing field and onto the streets, OUT OF BOUNDS.
From respected journalist Steve Delsohn comes the true story of the University of Southern California football program, told by those who know it best--USC players, coaches, administrators, and leading sports journalists who have covered the fabled team. Over the years, USC has produced an almost unrivaled level of success: 11 national titles, 38 conference championships, 7 Heisman Trophy winners and 80 All-Americans, while also grooming countless NFL stars. From Todd Marinovich and Keyshawn Johnson to Reggie Bush and Matt Leinart, some of the greatest and most memorable college football players of all time have suited up for the Trojans. And under the leadership of legendary coaches like John Robinson and Pete Carroll, they've played in some of college football's most celebrated big games. At the same time, few big-time football programs are as tumultuous as USC. From battles with the NCAA, to bitter internal conflicts between coaches, players, and administrators, to all-out brawls with hated rivals like Notre Dame, the Trojans' dominance has often gone hand in hand with controversy. This book tells, for the first time, the full and unvarnished story of the USC program at its best and worst. From the dynastic "Tailback U" years of the 1970s, to the dominance of the Carroll years, right through the upheaval of the modern era, it's crammed with behind-the-scenes insight into USC's most iconic moments, players, coaches, and games.--Adapted from dust jacket.
This sophisticated package of statistical methods is for advanced master's (MPH) and PhD students in public health and epidemiology who are involved in the analysis of data. It makes the link from statistical theory to data analysis, focusing on the methods and data types most common in public health and related fields. Like most toolboxes, the statistical tools in this book are organized into sections with similar objectives. Unlike most toolboxes, however, these tools are accompanied by complete instructions, explanations, detailed examples, and advice on relevant issues and potential pitfalls - conveying skills, intuition, and experience. The only prerequisite is a first-year statistics course and familiarity with a computing package such as R, Stata, SPSS, or SAS. Though the book is not tied to a particular computing language, its figures and analyses were all created using R. Relevant R code, data sets, and links to public data sets are available from www.cambridge.org/9781107113084.
Let $X$ be a metric space with doubling measure, and $L$ be a non-negative, self-adjoint operator satisfying Davies-Gaffney bounds on $L^2(X)$. In this article the authors present a theory of Hardy and BMO spaces associated to $L$, including an atomic (or molecular) decomposition, square function characterization, and duality of Hardy and BMO spaces. Further specializing to the case that $L$ is a Schrodinger operator on $\mathbb{R}^n$ with a non-negative, locally integrable potential, the authors establish additional characterizations of such Hardy spaces in terms of maximal functions. Finally, they define Hardy spaces $H^p_L(X)$ for $p>1$, which may or may not coincide with the space $L^p(X)$, and show that they interpolate with $H^1_L(X)$ spaces by the complex method.
Presents Real & Complex Analysis Together Using a Unified Approach A two-semester course in analysis at the advanced undergraduate or first-year graduate level Unlike other undergraduate-level texts, Real and Complex Analysis develops both the real and complex theory together. It takes a unified, elegant approach to the theory that is consistent with the recommendations of the MAA’s 2004 Curriculum Guide. By presenting real and complex analysis together, the authors illustrate the connections and differences between these two branches of analysis right from the beginning. This combined development also allows for a more streamlined approach to real and complex function theory. Enhanced by more than 1,000 exercises, the text covers all the essential topics usually found in separate treatments of real analysis and complex analysis. Ancillary materials are available on the book’s website. This book offers a unique, comprehensive presentation of both real and complex analysis. Consequently, students will no longer have to use two separate textbooks—one for real function theory and one for complex function theory.
In this innovative new book, Steve Selvin provides readers with a clear understanding of intermediate biostatistical methods without advanced mathematics or statistical theory (for example, no Bayesian statistics, no causal inference, no linear algebra and only a slight hint of calculus). This text answers the important question: After a typical first-year course in statistical methods, what next? Statistical Tools for Epidemiologic Research thoroughly explains not just how statistical data analysis works, but how the analysis is accomplished. From the basic foundation laid in the introduction, chapters gradually increase in sophistication with particular emphasis on regression techniques (logistic, Poisson, conditional logistic and log-linear) and then beyond to useful techniques that are not typically discussed in an applied context. Intuitive explanations richly supported with numerous examples produce an accessible presentation for readers interested in the analysis of data relevant to epidemiologic or medical research.
Borland(r) Delphi 6 Developer's Guide is a new edition of the #1 best-selling Delphi book by authors Steve Teixeira and Xavier Pacheco. Steve and Xavier are of the winners of the Delphi Informant Reader's Choice Award for both Delphi 4 Developer's Guide and Delphi 5 Developer's Guide. Borland(r) Delphi 6 Developer's Guide is completely updated for Delphi 6 and includes in-depth coverage on Borland's new CLX architecture, DBExpress Applications, SOAP, CORBA, WebSnap and BizSnap features. It continues as a complete reference and authoritative guide to the newest version of Delphi.
In every sufficiently large structure which has been partitioned there will always be some well-behaved structure in one of the parts. This takes many forms. For example, colorings of the integers by finitely many colors must have long monochromatic arithmetic progressions (van der Waerden's theorem); and colorings of the edges of large graphs must have monochromatic subgraphs of a specified type (Ramsey's theorem). This book explores many of the basic results and variations of this theory. Since the first edition of this book there have been many advances in this field. In the second edition the authors update the exposition to reflect the current state of the art. They also include many pointers to modern results. A co-publication of the AMS and CBMS.
Domain-Specific Languages (DSLs)--languages geared to specific vertical or horizontal areas of interest--are generating growing excitement from software engineers and architects. DSLs bring new agility to the creation and evolution of software, allowing selected design aspects to be expressed in terms much closer to the system requirements than standard program code, significantly reducing development costs in large-scale projects and product lines. In this breakthrough book, four leading experts reveal exactly how DSLs work, and how you can make the most of them in your environment. With Domain-Specific Development with Visual Studio DSL Tools, you'll begin by mastering DSL concepts and techniques that apply to all platforms. Next, you'll discover how to create and use DSLs with the powerful new Microsoft DSL Tools--a toolset designed by this book's authors. Learn how the DSL Tools integrate into Visual Studio--and how to define DSLs and generate Visual Designers using Visual Studio's built-in modeling technology. In-depth coverage includes Determining whether DSLs will work for you Comparing DSLs with other approaches to model-driven development Defining, tuning, and evolving DSLs: models, presentation, creation, updates, serialization, constraints, validation, and more Creating Visual Designers for new DSLs with little or no coding Multiplying productivity by generating application code from your models with easy-to-use text templates Automatically generating configuration files, resources, and other artifacts Deploying Visual Designers across the organization, quickly and easily Customizing Visual Designers for specialized process needs List of Figures List of Tables Foreword Preface About the Authors Chapter 1 Domain-Specific Development Chapter 2 Creating and Using DSLs Chapter 3 Domain Model Definition Chapter 4 Presentation Chapter 5 Creation, Deletion, and Update Behavior Chapter 6 Serialization Chapter 7 Constraints and Validation Chapter 8 Generating Artifacts Chapter 9 Deploying a DSL Chapter 10 Advanced DSL Customization Chapter 11 Designing a DSL Index
The By Example Series builds a language tutorial, example by example, with necessary text explaining the examples. Additionally, the complete example at the end of the book allows you to connect all of the examples to create the big picture.
This practical guide to survival data and its analysis for readers with a minimal background in statistics shows why the analytic methods work and how to effectively analyze and interpret epidemiologic and medical survival data with the help of modern computer systems. The introduction presents a review of a variety of statistical methods that are not only key elements of survival analysis but are also central to statistical analysis in general. Techniques such as statistical tests, transformations, confidence intervals, and analytic modeling are presented in the context of survival data but are, in fact, statistical tools that apply to understanding the analysis of many kinds of data. Similarly, discussions of such statistical concepts as bias, confounding, independence, and interaction are presented in the context of survival analysis and also are basic components of a broad range of applications. These topics make up essentially a 'second-year', one-semester biostatistics course in survival analysis concepts and techniques for non-statisticians.
Eigenfunctions of the Laplacian of a Riemannian manifold can be described in terms of vibrating membranes as well as quantum energy eigenstates. This book is an introduction to both the local and global analysis of eigenfunctions. The local analysis of eigenfunctions pertains to the behavior of the eigenfunctions on wavelength scale balls. After re-scaling to a unit ball, the eigenfunctions resemble almost-harmonic functions. Global analysis refers to the use of wave equation methods to relate properties of eigenfunctions to properties of the geodesic flow. The emphasis is on the global methods and the use of Fourier integral operator methods to analyze norms and nodal sets of eigenfunctions. A somewhat unusual topic is the analytic continuation of eigenfunctions to Grauert tubes in the real analytic case, and the study of nodal sets in the complex domain. The book, which grew out of lectures given by the author at a CBMS conference in 2011, provides complete proofs of some model results, but more often it gives informal and intuitive explanations of proofs of fairly recent results. It conveys inter-related themes and results and offers an up-to-date comprehensive treatment of this important active area of research.
This volume addresses the problem of designing efficient signalling and provides a link between the areas of communication theory and modem design for amplitude constrained linear optical intensity channel. It provides practical guidelines for the design of signalling sets for wireless optical intensity channels.
As the fourth book in our series of iPhone Projects based on the work and experiences of iPhone, this volume takes on the more advanced aspects of iPhone development. The first generation of iPhone applications has hit the App Store, and now it's time to optimize performance, streamline the user interface, and make every successful iPhone app just that much more sophisticated. Paired with Apress's bestselling Beginning iPhone Development: Exploring the iPhone SDK, you'll have everything you need to create the next great iPhone app that everyone is talking about. Optimize performance. Streamline your user interface. Do things with your iPhone app that other developers haven't attempted. Along with series editor Dave Mark, your guides for this exploration of the next level of iPhone development, include: Ben “Panda” Smith, discussing particle systems using OpenGL ES Joachim Bondo, demonstrating his implementation of correspondence gaming in the most recent version of his chess application, Deep Green. Tom Harrington implementing streaming audio with Core Audio, one of many iPhone OS 3 APIs. Owen Goss debugging those pesky errors in your iPhone code with an eye toward achieving professional-strength results. Dylan Bruzenak building a data-driven application with SQLite. Ray Kiddy illustrating the full application development life cycle with Core Data. Steve Finkelstein marrying an offline e-mail client to Core Data. Peter Honeder and Florian Pflug tackling the challenges of networked applications in WiFi environments. Jonathan Saggau improving interface responsiveness with some of his personal tips and tricks, including “blocks” and other esoteric techniques. Joe Pezzillo pushing the frontiers of APNS, the new in iPhone OS 3 Apple Push Notification Service that makes the cloud the limit for iPhone apps. Noel Llopis taking mere programmers into a really advanced developmental adventure into the world of environment mapping with OpenGL ES.
Practical C++ Programming thoroughly covers: C++ syntax · Coding standards and style · Creation and use of object classes · Templates · Debugging and optimization · Use of the C++ preprocessor · File input/output
Let $X$ be a metric space with doubling measure, and $L$ be a non-negative, self-adjoint operator satisfying Davies-Gaffney bounds on $L^2(X)$. In this article the authors present a theory of Hardy and BMO spaces associated to $L$, including an atomic (or molecular) decomposition, square function characterization, and duality of Hardy and BMO spaces. Further specializing to the case that $L$ is a Schrodinger operator on $\mathbb{R}^n$ with a non-negative, locally integrable potential, the authors establish additional characterizations of such Hardy spaces in terms of maximal functions. Finally, they define Hardy spaces $H^p_L(X)$ for $p>1$, which may or may not coincide with the space $L^p(X)$, and show that they interpolate with $H^1_L(X)$ spaces by the complex method.
Thousands of golfers have learned invaluable lessons from the legendary likes of Hogan, Palmer, Nicklaus, Faldo, and Norman. Caddie Sense provides a brand new and tremendously important perspective. Here, for the first time, are intimate playing strategies used by the best of the best from the viewpoint of a PGA Tour caddie. As a former President of the Tour Caddies Association who has caddied for the legendary Tom Kite for nearly 20 years, Michael Carrick will provide you with rare, inside-the-ropes glimpses of the game, including: * The first strategic book on golf written by a Tour caddie * A personal caddie to take on the course * Helpful instructions to beginners as well as the advanced player * Advice on how to plan a good round of golf Caddie Sense will appeal to both the players looking for help with their game as well as the players looking to get an insider's view of professional golf.
Describes a set of mappings which will enable interworking between systems operating the CCITT X.400 (1988) Recommendations on Message Handling Systems / ISO IEC 10021 Message Oriented Text Interchange Systems (MOTIS( [CCITT/ISO88a], and systems using the RFC 822 mail protocol [Crocker82a] or protocols derived from RFC 822. Aims to maximize the services offered across the boundary, whilst not requiring unduly complex mappings. Specifies a mapping between two protocols.
The official book on the Rust programming language, written by the Rust development team at the Mozilla Foundation, fully updated for Rust 2018. The Rust Programming Language is the official book on Rust: an open source systems programming language that helps you write faster, more reliable software. Rust offers control over low-level details (such as memory usage) in combination with high-level ergonomics, eliminating the hassle traditionally associated with low-level languages. The authors of The Rust Programming Language, members of the Rust Core Team, share their knowledge and experience to show you how to take full advantage of Rust's features--from installation to creating robust and scalable programs. You'll begin with basics like creating functions, choosing data types, and binding variables and then move on to more advanced concepts, such as: Ownership and borrowing, lifetimes, and traits Using Rust's memory safety guarantees to build fast, safe programs Testing, error handling, and effective refactoring Generics, smart pointers, multithreading, trait objects, and advanced pattern matching Using Cargo, Rust's built-in package manager, to build, test, and document your code and manage dependencies How best to use Rust's advanced compiler with compiler-led programming techniques You'll find plenty of code examples throughout the book, as well as three chapters dedicated to building complete projects to test your learning: a number guessing game, a Rust implementation of a command line tool, and a multithreaded server. New to this edition: An extended section on Rust macros, an expanded chapter on modules, and appendixes on Rust development tools and editions.
The classical theory of computation has its origins in the work of Goedel, Turing, Church, and Kleene and has been an extraordinarily successful framework for theoretical computer science. The thesis of this book, however, is that it provides an inadequate foundation for modern scientific computation where most of the algorithms are real number algorithms. The goal of this book is to develop a formal theory of computation which integrates major themes of the classical theory and which is more directly applicable to problems in mathematics, numerical analysis, and scientific computing. Along the way, the authors consider such fundamental problems as: * Is the Mandelbrot set decidable? * For simple quadratic maps, is the Julia set a halting set? * What is the real complexity of Newton's method? * Is there an algorithm for deciding the knapsack problem in a ploynomial number of steps? * Is the Hilbert Nullstellensatz intractable? * Is the problem of locating a real zero of a degree four polynomial intractable? * Is linear programming tractable over the reals? The book is divided into three parts: The first part provides an extensive introduction and then proves the fundamental NP-completeness theorems of Cook-Karp and their extensions to more general number fields as the real and complex numbers. The later parts of the book develop a formal theory of computation which integrates major themes of the classical theory and which is more directly applicable to problems in mathematics, numerical analysis, and scientific computing.
Persistence theory emerged in the early 2000s as a new theory in the area of applied and computational topology. This book provides a broad and modern view of the subject, including its algebraic, topological, and algorithmic aspects. It also elaborates on applications in data analysis. The level of detail of the exposition has been set so as to keep a survey style, while providing sufficient insights into the proofs so the reader can understand the mechanisms at work. The book is organized into three parts. The first part is dedicated to the foundations of persistence and emphasizes its connection to quiver representation theory. The second part focuses on its connection to applications through a few selected topics. The third part provides perspectives for both the theory and its applications. The book can be used as a text for a course on applied topology or data analysis.
Statistical analysis typically involves applying theoretically generated techniques to the description and interpretation of collected data. In this text, theory, application and interpretation are combined to present the entire biostatistical process for a series of elementary and intermediate analytic methods. The theoretical basis for each method is discussed with a minimum of mathematics and is applied to a research data example using a computer system called S-PLUS. This system produces concrete numerical results and increases one's understanding of the fundamental concepts and methodology of statistical analysis. Combining statistical logic, data and computer tools, the author explores such topics as random number generation, general linear models, estimation, analysis of tabular data, analysis of variance and survival analysis. The end result is a clear and complete explanation of the way statistical methods can help one gain an understanding of collected data. Modern Applied Biostatistical Methods is unlike other statistical texts, which usually deal either with theory or with applications. It integrates the two elements into a single presentation of theoretical background, data, interpretation, graphics, and implementation. This all-around approach will be particularly helpful to students in various biostatistics and advanced epidemiology courses, and will interest all researchers involved in biomedical data analysis. This text is not a computer manual, even though it makes extensive use of computer language to describe and illustrate applied statistical techniques. This makes the details of the statistical process readily accessible, providing insight into how and why a statistical method identifies the properties of sampled data. The first chapter gives a simple overview of the S-PLUS language. The subsequent chapters use this valuable statistical tool to present a variety of analytic approaches.
Moore's law [Noy77], which predicted that the number of devices in tegrated on a chip would be doubled every two years, was accurate for a number of years. Only recently has the level of integration be gun to slow down somewhat due to the physical limits of integration technology. Advances in silicon technology have allowed Ie design ers to integrate more than a few million transistors on a chip; even a whole system of moderate complexity can now be implemented on a single chip. To keep pace with the increasing complexity in very large scale integrated (VLSI) circuits, the productivity of chip designers would have to increase at the same rate as the level of integration. Without such an increase in productivity, the design of complex systems might not be achievable within a reasonable time-frame. The rapidly increasing complexity of VLSI circuits has made de- 1 2 INTRODUCTION sign automation an absolute necessity, since the required increase in productivity can only be accomplished with the use of sophisticated design tools. Such tools also enable designers to perform trade-off analyses of different logic implementations and to make well-informed design decisions.
From his early days videotaping crazy skateboard stunts to starring in the Jackass movies, there was little that Stephen "Steve-O" Glover wouldn't do. Whether it was stapling his nutsack to his leg or diving into a pool full of elephant crap, almost nothing was out of bounds. As the stunts got crazier, his life kept pace. He developed a crippling addiction to drugs and alcohol, and an obsession with his own celebrity that proved nearly as dangerous. Only an intervention and a visit to a psychiatric ward saved his life. Today he has been clean and sober for more than three years. Professional Idiot recounts the lunacy, the debauchery, the stunts, the drug addiction, and the path to recovery with bravado, humor, and heart. "It's mind-blowing to me how utterly far gone Steve-O was, and how he looks back on it in this book with such intelligence, humor, and searing honesty. What a truly unbelievable life."-- Johnny Knoxville "A great book to read before you get on the roller coaster to hell, if you plan on surviving to tell about it like Steve-O did."--Nikki Sixx, author of The Heroin Diaries "This is the perfect book for people who hate reading."--Tommy Lee, author of Tommyland The feedback I've gotten on Facebook and Twitter from those of you who've read this book has been fascinating, heartwarming, and hilarious. I'm happy to keep answering your questions on there, and I encourage more of you to join in the discussion. Hope to hear from you soon, and thank you all so much. Love,Steve-O
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.