Learn all there is to know about the most popular vehicles in history. Ford's F-series pickups are simply the most popular vehicles ever. The F150 set a modern-day single-month sales record for the industry with 126,905 trucks sold in July 2005, the most sales of any single nameplate in any month since the days of the Ford Model T. The F-series has been the best-selling vehicle in the world for most of the past forty years, and to date Ford has produced nearly fifty million models. The Complete Book of Classic Ford F-Series Pickups covers all the classic models in Ford's popular line of light-duty trucks, from the first F-1 pickup of 1948 through 1976.
Primary Colors for the social media era, the wildly profane, viral phenomenon that resulted from a fake Twitter account deftly satirizing Rahm Emanuel is the first significant Twitter epic in today’s digital age. Primary Colors for the social media era, the wildly profane, viral phenomenon that resulted from a fake Twitter account deftly satirizing Rahm Emanuel is the first significant Twitter epic in today’s digital age. With web sensations such as Stuff White People Like and Sh*t My Dad Says making the leap from the Internet to the bestseller lists, it’s no surprise that this unique and hilarious first-person account of Rahm Emanuel’s fake mayoral campaign via Twitter has already been featured in The Atlantic, Wired, The Colbert Report, and is still an unfolding story. Now, fans can read the entire six months of collected tweets of @MayorEmanuel with commentary and annotations from creator Dan Sinker. When rumors circulated that Rahm Emanuel would enter the Chicago mayor’s race, suddenly the “real” Rahm became overshadowed by a decidedly different Rahm, @MayorEmanuel. Via Twitter, this fake Rahm spun a faux-insider’s story unlike any other—in real time. Garnering a passionate following on Twitter and hailed by the press, @MayorEmanuel’s journey is an entertaining, modern-day anti-hero's quest as he travels a surrealistic Chicago landscape, picking up friends along the way, including advisor David Axelrod, Carl the Intern (a high-school-aged MacGyver), a puppy named Hambone, and a duck named Quaxelrod, to name a few. Both a surprisingly literary romp as well as an inside peek into an historic mayoral race, The F***ing Epic Twitter Quest of @MayorEmanuel is a bold and exciting foray into a new form of participatory, real-time storytelling.
This compendium provides a self-contained introduction to mathematical analysis in the field of machine learning and data mining. The mathematical analysis component of the typical mathematical curriculum for computer science students omits these very important ideas and techniques which are indispensable for approaching specialized area of machine learning centered around optimization such as support vector machines, neural networks, various types of regression, feature selection, and clustering. The book is of special interest to researchers and graduate students who will benefit from these application areas discussed in the book. Related Link(s)
This unique compendium gives an updated presentation of clustering, one of the most challenging tasks in machine learning. The book provides a unitary presentation of classical and contemporary algorithms ranging from partitional and hierarchical clustering up to density-based clustering, clustering of categorical data, and spectral clustering.Most of the mathematical background is provided in appendices, highlighting algebraic and complexity theory, in order to make this volume as self-contained as possible. A substantial number of exercises and supplements makes this a useful reference textbook for researchers and students.
This volume was born from the experience of the authors as researchers and educators,whichsuggeststhatmanystudentsofdataminingarehandicapped in their research by the lack of a formal, systematic education in its mat- matics. The data mining literature contains many excellent titles that address the needs of users with a variety of interests ranging from decision making to p- tern investigation in biological data. However, these books do not deal with the mathematical tools that are currently needed by data mining researchers and doctoral students. We felt it timely to produce a book that integrates the mathematics of data mining with its applications. We emphasize that this book is about mathematical tools for data mining and not about data mining itself; despite this, a substantial amount of applications of mathematical c- cepts in data mining are presented. The book is intended as a reference for the working data miner. In our opinion, three areas of mathematics are vital for data mining: set theory,includingpartially orderedsetsandcombinatorics;linear algebra,with its many applications in principal component analysis and neural networks; and probability theory, which plays a foundational role in statistics, machine learning and data mining. Thisvolumeisdedicatedtothestudyofset-theoreticalfoundationsofdata mining. Two further volumes are contemplated that will cover linear algebra and probability theory. The ?rst part of this book, dedicated to set theory, begins with a study of functionsandrelations.Applicationsofthesefundamentalconceptstosuch- sues as equivalences and partitions are discussed. Also, we prepare the ground for the following volumes by discussing indicator functions, ?elds and?-?elds, and other concepts.
Logic is a foundational mathematical discipline for Computer Science. This unique compendium provides the main ideas and techniques originating from logic. It is divided into two volumes — propositional logic and predicate logic. The volume presents some of the most important concepts starting with a variety of logic formalisms — Hilbert/Frege systems, tableaux, sequents, and natural deduction in both propositional and first-order logic, as well as transformations between these formalisms. Topics like circuit design, resolution, cutting planes, Hintikka sets, paramodulation, and program verification, which do not appear frequently in logic books are discussed in detail.The useful reference text has close to 800 exercises and supplements to deepen understanding of the subject. It emphasizes proofs and overcomes technical difficulties by providing detailed arguments. Computer scientists and mathematicians will benefit from this volume.
Learn the basics of programming with C with this fun and friendly guide! C offers a reliable, strong foundation for programming and serves as a stepping stone upon which to expand your knowledge and learn additional programming languages. Written by veteran For Dummies author Dan Gookin, this straightforward-but-fun beginner's guide covers the fundamentals of using C and gradually walks you through more advanced topics including pointers, linked lists, file I/O, and debugging. With a special focus on the subject of an Integrated Development Environment, it gives you a solid understanding of computer programming in general as you learn to program with C. Encourages you to gradually increase your knowledge and understanding of C, with each chapter building off the previous one Provides you with a solid foundation of understanding the C language so you can take on larger programming projects, learn new popular programming languages, and tackle new topics with confidence Includes more than 100 sample programs with code that are adaptable to your own projects Beginning Programming with C For Dummies assumes no previous programming language experience and helps you become competent and comfortable with the fundamentals of C in no time.
Mathematics for Mechanical Engineers gives mechanical engineers convenient access to the essential problem solving tools that they use each day. It covers applications employed in many different facets of mechanical engineering, from basic through advanced, to ensure that you will easily find answers you need in this handy guide. For the engineer venturing out of familiar territory, the chapters cover fundamentals like physical constants, derivatives, integrals, Fourier transforms, Bessel functions, and Legendre functions. For the experts, it includes thorough sections on the more advanced topics of partial differential equations, approximation methods, and numerical methods, often used in applications. The guide reviews statistics for analyzing engineering data and making inferences, so professionals can extract useful information even with the presence of randomness and uncertainty. The convenient Mathematics for Mechanical Engineers is an indispensable summary of mathematics processes needed by engineers.
This text details the entire OpenGL ES 3.0 pipeline with detailed examples in order to provide a guide for developing a wide range of high performance 3D applications for embedded devices.
Calculus from Approximation to Theory takes a fresh and innovative look at the teaching and learning of calculus. One way to describe calculus might be to say it is a suite of techniques that approximate curved things by flat things and through a limiting process applied to those approximations arrive at an exact answer. Standard approaches to calculus focus on that limiting process as the heart of the matter. This text places its emphasis on the approximating processes and thus illuminates the motivating ideas and makes clearer the scientific usefulness, indeed centrality, of the subject while paying careful attention to the theoretical foundations. Limits are defined in terms of sequences, the derivative is defined from the best affine approximation, and greater attention than usual is paid to numerical techniques and the order of an approximation. Access to modern computational tools is presumed throughout and the use of these tools is woven seamlessly into the exposition and problems. All of the central topics of a yearlong calculus course are covered, with the addition of treatment of difference equations, a chapter on the complex plane as the arena for motion in two dimensions, and a much more thorough and modern treatment of differential equations than is standard. Dan Sloughter is Emeritus Professor of Mathematics at Furman University with interests in probability, statistics, and the philosophy of mathematics and statistics. He has been involved in efforts to reform calculus instruction for decades and has published widely on that topic. This book, one of the results of that work, is very well suited for a yearlong introduction to calculus that focuses on ideas over techniques.
This method is recommended and supported by a peer-reviewed paper published by the American Society of Engineering Educators (ASEE). This workbook provides over 100 3D visualization exercises for Engineering, Architecture, and Art students, challenging them to create three dimensions from two. A, B, See...in 3D is a powerful and effective way to help teach spatial visualization and is much different from current exercises in which students are presented objects in isometric views (already in 3D), and are asked to create multiple views, fold patterns, manipulate, reflect, or rotate them. This workbook uses a different and more effective approach. Each view of the solid represents a letter of the alphabet. The letters are by definition 2D representations and when they are combined to create a 3D object, visualizing it becomes a challenge. This workbook uses a different approach. Each view of the solid represents a letter of the alphabet. The letters are by definition 2D representations and when they are combined to create a 3D object, visualizing it becomes quite a challenge. This workbook is intended for Engineering, Architecture, and Art students and faculty that want to increase their 3-D visualization skills.
This comprehensive volume presents the foundations of linear algebra ideas and techniques applied to data mining and related fields. Linear algebra has gained increasing importance in data mining and pattern recognition, as shown by the many current data mining publications, and has a strong impact in other disciplines like psychology, chemistry, and biology. The basic material is accompanied by more than 550 exercises and supplements, many accompanied with complete solutions and MATLAB applications. Key Features Integrates the mathematical developments to their applications in data mining without sacrificing the mathematical rigor Presented applications with full mathematical justifications and are often accompanied by MATLAB code Highlights strong links between linear algebra, topology and graph theory because these links are essentially important for applications A self-contained book that deals with mathematics that is immediately relevant for data mining Book jacket.
The Second Edition of this classic text maintains the clear exposition, logical organization, and accessible breadth of coverage that have been its hallmarks. It plunges directly into algebraic structures and incorporates an unusually large number of examples to clarify abstract concepts as they arise. Proofs of theorems do more than just prove the stated results; Saracino examines them so readers gain a better impression of where the proofs come from and why they proceed as they do. Most of the exercises range from easy to moderately difficult and ask for understanding of ideas rather than flashes of insight. The new edition introduces five new sections on field extensions and Galois theory, increasing its versatility by making it appropriate for a two-semester as well as a one-semester course.
OpenGL ES 2.0 is the industry’s leading software interface and graphics library for rendering sophisticated 3D graphics on handheld and embedded devices. With OpenGL ES 2.0, the full programmability of shaders is now available on small and portable devices—including cell phones, PDAs, consoles, appliances, and vehicles. However, OpenGL ES differs significantly from OpenGL. Graphics programmers and mobile developers have had very little information about it—until now. In the OpenGL® ES 2.0 Programming Guide, three leading authorities on the Open GL ES 2.0 interface—including the specification’s editor—provide start-to-finish guidance for maximizing the interface’s value in a wide range of high-performance applications. The authors cover the entire API, including Khronos-ratified extensions. Using detailed C-based code examples, they demonstrate how to set up and program every aspect of the graphics pipeline. You’ll move from introductory techniques all the way to advanced per-pixel lighting, particle systems, and performance optimization. Coverage includes: Shaders in depth: creating shader objects, compiling shaders, checking for compile errors, attaching shader objects to program objects, and linking final program objects The OpenGL ES Shading Language: variables, types, constructors, structures, arrays, attributes, uniforms, varyings, precision qualifiers, and invariance Inputting geometry into the graphics pipeline, and assembling geometry into primitives Vertex shaders, their special variables, and their use in per-vertex lighting, skinning, and other applications Using fragment shaders—including examples of multitexturing, fog, alpha test, and user clip planes Fragment operations: scissor test, stencil test, depth test, multisampling, blending, and dithering Advanced rendering: per-pixel lighting with normal maps, environment mapping, particle systems, image post-processing, and projective texturing Real-world programming challenges: platform diversity, C++ portability, OpenKODE, and platform-specific shader binaries
This book is about new topological invariants of real- and angle-valued maps inspired by Morse-Novikov theory, a chapter of topology, which has recently raised interest outside of mathematics; for example, in data analysis, shape recognition, computer science and physics. They are the backbone of what the author proposes as a computational alternative to Morse-Novikov theory, referred to in this book as AMN-theory.These invariants are on one side analogues of rest points, instantons and closed trajectories of vector fields and on the other side, refine basic topological invariants like homology and monodromy. They are associated to tame maps, considerably more general than Morse maps, that are defined on spaces which are considerably more general than manifolds. They are computable by computer implementable algorithms and have strong robustness properties. They relate the dynamics of flows that admit the map as 'Lyapunov map' to the topology of the underlying space, in a similar manner as Morse-Novikov theory does.
The main purpose of this book is to present, in a unified approach, several algorithms for fixed point computation, convex feasibility and convex optimization in infinite dimensional Banach spaces, and for problems involving, eventually, infinitely many constraints. For instance, methods like the simultaneous projection algorithm for feasibility, the proximal point algorithm and the augmented Lagrangian algorithm are rigorously formulated and analyzed in this general setting and shown to be applicable to much wider classes of problems than previously known. For this purpose, a new basic concept, total convexity, is introduced. Its properties are deeply explored, and a comprehensive theory is presented, bringing together previously unrelated ideas from Banach space geometry, finite dimensional convex optimization and functional analysis. For making a general approach possible the work aims to improve upon classical results like the Holder-Minkowsky inequality of ℒp.
Recipient of the Mathematical Association of America's Beckenbach Book Prize in 2012! This text serves as a tour guide to little known corners of the mathematical landscape, not far from the main byways of algebra, geometry, and calculus. It is for the seasoned mathematical traveller who has visited these subjects many times and, familiar with the main attractions, is ready to venture abroad off the beaten track. For the old hand and new devotee alike, this book will surprise, intrigue, and delight readers with unexpected aspects of old and familiar subjects. In the first part of the book all of the topics are related to polynomials: properties and applications of Horner form, reverse and palindromic polynomials and identities linking roots and coefficients, among others. Topics in the second part are all connected in some way with maxima and minima. In the final part calculus is the focus.
So you've got yourself a shiny new camera. Now what? Skip that brick of a manual and join POPULAR PHOTOGRAPHY writer Dan Richards on an accessible, empowering tour of your camera's functions. Full of crystal-clear instructions, expert explanations, and aspirational images, GET THE PICTURE is a novice's best choice for maximizing today's DSLRs and ILCs." -- page 4 of cover.
Get an A grade in C As with any major language, mastery of C can take you to some very interesting new places. Almost 50 years after it first appeared, it's still the world's most popular programming language and is used as the basis of global industry's core systems, including operating systems, high-performance graphics applications, and microcontrollers. This means that fluent C users are in big demand at the sharp end in cutting-edge industries—such as gaming, app development, telecommunications, engineering, and even animation—to translate innovative ideas into a smoothly functioning reality. To help you get to where you want to go with C, this 2nd edition of C Programming For Dummies covers everything you need to begin writing programs, guiding you logically through the development cycle: from initial design and testing to deployment and live iteration. By the end you'll be au fait with the do's and don'ts of good clean writing and easily able to produce the basic—and not-so-basic—building blocks of an elegant and efficient source code. Write and compile source code Link code to create the executable program Debug and optimize your code Avoid common mistakes Whatever your destination: tech industry, start-up, or just developing for pleasure at home, this easy-to-follow, informative, and entertaining guide to the C programming language is the fastest and friendliest way to get there!
The economics of voting is about whether and to what extent self-interest may be relied upon in voting. The central proposition in economics is that the world’s work gets done satisfactorily when each person does what they think is best for themselves. The commonsense view of the matter is that this outcome alone would be chaos. This book examines voting in four key terms: self-interest, bargaining, duty and rights. Self-interest creates a voting equilibrium on various issues, notably the redistribution of income. Bargaining has a larger role to play in voting than in commerce, as it becomes essential in the formation of platforms of political parties and for the passage of laws. A duty to vote arises from the fact that a person’s vote has only an infinitesimal chance of influencing the outcome of an election. Rights are a democracy’s first line of defense against exploitation that, unless constrained, the majority rule voting enables voters to expropriate the corresponding minority, undermining democracy completely. Four key questions are asked in this book. When is there self-interest in majority rule voting comparable to the general interest in markets? To what extent does ‘government by majority rule voting’ depend upon bargaining as well as voting? Can willingness to vote be attributed to self-interest or is a sense of duty required? Does democracy require property rights? Through an examination of these terms, this book argues that they are indispensable requirements for the maintenance of government by majority rule voting. This book is essential for those who study political economy, economic theory and philosophy as well as political theory.
This book collects the research work of leading-edge researchers and practitioners in the areas of analysis, synthesis, design and implementation of real-time systems with applications in various industrial fields. Their works are grouped into six parts, together encompassing twenty chapters. Each part is devoted to a mainstream subject, the chapters therein developing one of the major aspects of real-time system theory, modeling, design, and practical applications. Starting with a general approach in the area of formalization of real-time systems, and setting the foundations for a general systemic theory of those systems, the book covers everything from building modeling frameworks for various types of real-time systems, to verification, and synthesis. Other parts of the book deal with subjects related to tools and applications of these systems. A special part is dedicated to languages used for their modeling and design. The applications presented in the book reveal precious insights into practitioners' secrets.
As computer-assisted modeling and analysis of physical processes have continued to grow and diversify, sensitivity and uncertainty analyses have become indispensable investigative scientific tools in their own right. While most techniques used for these analyses are well documented, there has yet to appear a systematic treatment of the method based on adjoint operators, which is applicable to a much wider variety of problems than methods traditionally used in control theory. This book fills that gap, focusing on the mathematical underpinnings of the Adjoint Sensitivity Analysis Procedure (ASAP) and the use of deterministically obtained sensitivities for subsequent uncertainty analysis.
The aim of this lavishly illustrated book is to provide an in-depth study of the many medieval peasant houses still standing in Midland villages, and of their historical context. In particular, the combination of tree-ring and radiocarbon dating, detailed architectural study and documentary research illuminates both their nature and their status. The results are brought together to provide a new and detailed view of the medieval peasant house, resolving the contradiction between the archaeological and architectural evidence, and illustrating how its social organisation developed in the period before we have extensive documentary evidence for the use of space within the house. Nat Alcock and Dan Miles' work on Medieval Peasant Houses in Midland England has been nominated for the 2014 Current Archaeology Research Project of the Year.
Combining the strength of the data analysis approach and the power of technology, the new edition features powerful and helpful new media supplements, enhanced teacher support materials, and full integration of the TI-83 and TI-89 graphing calculators.
Formal languages provide the theoretical underpinnings for the study of programming languages as well as the foundations for compiler design. They are important in such areas as data transmission and compression, computer networks, etc. This book combines an algebraic approach with algorithmic aspects and decidability results and explores applications both within computer science and in fields where formal languages are finding new applications such as molecular and developmental biology. It contains more than 600 graded exercises. While some are routine, many of the exercises are in reality supplementary material. Although the book has been designed as a text for graduate and upper-level undergraduate students, the comprehensive coverage of the subject makes it suitable as a reference for scientists.
The straightforward guide to the new Canon EOS Rebel T2i/550D Popular tech blog Gizmodo.com called the Canon EOS Rebel T2i/550D "an incredible camera – everything a first DSLR should be." With 1080p digital video capability and an 18 megapixel sensor that improves low-light shooting all for under $900, the accolades are well-earned. And for less than $30, you can learn how to maximize your digital photography experience! Packed with more than 300 color photos and 100 color screen captures throughout, this beginner book walks you through the camera’s controls, features, and shooting modes. If you're new to the Canon EOS Rebel T2i/550D, this fun and friendly guide shifts you out of automatic mode and helps you shoot memorable digital photos. Aimed at first-time dSLR users looking for a guide that clearly and patiently explains the features and controls of the Canon EOS Rebel T2i/550D Explores the on-board controls and situational shooting Addresses using live view and playback modes Explains dialing in exposure and lighting controls Details how to edit, print, post online, and other ways to share images Spells out how to manipulate focus and color controls Canon EOS Rebel T2i/550D For Dummies delivers a straightforward look through the lens of your dSLR!
Student create fantasy sports teams by picking real-life professional football players, and then follow their players' statistics and calculate their teams' total points using algebraic or nonalgebraic methods specifically designed to complement the math skills they are learning.
Master concepts quickly and easily with the Illustrated Series form Course Technology--the quick, visual way to learn about cutting-edge computer concepts!
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