This book surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use.The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts.The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants.Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.

    Hamilton was reshaping the image of the vampire with her own take on the vampire mythos in her Anita Blake, Vampire Hunter fantasy novel series. While Hamilton's work draws on traditional vampire and fairy lore, her interpretation of these subjects brought new dimensions to the genres, influencing the direction of urban fantasy over the past two decades.Reading Laurell K. Hamilton focuses upon Hamilton's two bestselling series, the Anita Blake, Vampire Hunter series and the Merry Gentry series. The volume is intended as a resource for leaders of book clubs or discussion groups, containing chapters that examine Hamilton's role in the current vampire literature craze, the themes and characters in her work, and responses to Hamilton on the Internet. The book also provides a brief overview of Hamilton's life.

    Each formula is explained gently and in great detail, including a discussion of all the quanitites involved and examples that will make clear how and where to apply it. On top of that, there are plenty of illustrations that support the explanations and make the reading experience even more vivid.The book covers a wide range of diverse topics: acoustics, explosions, hurricanes, pipe flow, car traffic, gravity, satellites, roller coasters, flight, conservation laws, trigonometry, equations, inflation, loans, and many more. From the author of "Statistical Snacks" and "Business Math Basics - Practical and Simple".

    Aiming to tell the dark secrets of computer arithmetic, this title is suitable for library developers, compiler writers, and lovers of elegant hacks.

    Provides a review of introductory noncalculus-based physics for those who do not have a strong background in mathematics.

    Haskell emerged in the last decade as a standard for lazy functional programming, a programming style where arguments are evaluated only when the value is actually needed. Haskell is a marvellous demonstration tool for logic and maths because its functional character allows implementations to remain very close to the concepts that get implemented, while the laziness permits smooth handling of infinite data structures.This book does not assume the reader to have previous experience with either programming or construction of formal proofs, but acquaintance with mathematical notation, at the level of secondary school mathematics is presumed. Everything one needs to know about mathematical reasoning or programming is explained as we go along. After proper digestion of the material in this book the reader will be able to write interesting programs, reason about their correctness, and document them in a clear fashion. The reader will also have learned how to set up mathematical proofs in a structured way, and how to read and digest mathematical proofs written by others.

    It can also serve as a one-semester introductory course at the beginning graduate level, as a useful precursor to a more serious study of CFD in advanced books. It is presented in a very readable, informal, enjoyable style.

    "More concretely," the authors explain, "it is the controlled manipulation of mathematical formulas, using a collection of techniques for solving problems."

    Forget wasting hours on research, we've done it for you. Forget confusion, we've tried and tested every app. And forget about getting left behind, with our free lifetime updates we'll keep you up to speed with the best paid and free Kindle Fire apps on the Amazon Appstore. <b>UPDATED Novenber 2013 - Kindle Fire FREE APPS and paid apps now clearly marked</b>.<b>Perfect for the New Kindle Fire HDX & HD Owner</b>Whether you've just bought your Kindle Fire, are discovering Kindle Fire apps for the first time, looking for free apps for the Kindle Fire or simply want to discover great apps that you might have missed the first time round, then this Amazon e-book is for you. <b>Free Lifetime Updates to Keep you Current</b>The best apps today might not be the best apps tomorrow. What's hip and what's not in the Amazon Appstore can change in the blink of an eye. That's why we're releasing updates of this book on a regular basis and you can receive them absolutely free even after you've purchased this book.<b>Something for Everyone in the Most Comprehensive Guide Available</b>How many app reviews and recommendations do you need to create the most comprehensive guide available? 100 apps reviewed? 200 apps reviewed? We didn't set ourselves a number, we just kept searching for great paid and free apps until we'd found something for everyone. And when we'd finished we had more than 250 apps covering 20 different categories and over 200 free apps reviewed; a truly comprehensive resource.<b>Unbiased Reviews and Recommendations</b>We only care about one thing, bringing you honest and helpful reviews of the best Kindle apps available. We don't develop apps, we don't sell apps and we don't get paid to write app reviews. We just love apps and use them all the time.<b>Intuitive Navigation and Easy One Click Selection</b>With our clear and easy to use table of contents you can navigate seamlessly to the categories that matter to you and your family. In each category discover our favorite "Must Have" app. Read reviews of all the top Kindle Fire apps and our recommendations for the best of the rest. Find an app you like and with one click redirect immediately to the relevant product page in Amazon's Appstore for the full app description and download options.<b>Bonus Material</b>If you're just getting to know your Kindle Fire for the first time then take a look at our bonus material where you will learn how to purchase and download apps, understand permissions and set parental controls.<b>Over 250 Apps in these 20 Categories</b>Books, Comics & ReadingEducation & ReferenceEntertainmentFinanceFood, Drink & CookingGamesHealth & FitnessKidsLifestyle & HobbiesMusicNews & MagazinesNoveltyPhotography, Art & CreativityProductivityShoppingSocial Networking & CommunicationsSportsTravel, Navigation & City InfoUtilitiesWeather

    Its easy-to-read treatment offers an intuitive approach, featuring informal discussions followed by thematically arranged exercises. Intended for undergraduate courses in abstract algebra, it is suitable for junior- and senior-level math majors and future math teachers. This second edition features additional exercises to improve student familiarity with applications. An introductory chapter traces concepts of abstract algebra from their historical roots. Succeeding chapters avoid the conventional format of definition-theorem-proof-corollary-example; instead, they take the form of a discussion with students, focusing on explanations and offering motivation. Each chapter rests upon a central theme, usually a specific application or use. The author provides elementary background as needed and discusses standard topics in their usual order. He introduces many advanced and peripheral subjects in the plentiful exercises, which are accompanied by ample instruction and commentary and offer a wide range of experiences to students at different levels of ability.

    With a new introduction, three new chapters, modernized language and methods throughout, and an appendix of challenging and enjoyable practice problems, Calculus Made Easy has been thoroughly updated for the modern reader.

    Each mini-chapter adds one feature to the ray tracer, and by the end the reader can produce the image on the book cover. Details of basic ray tracing code architecture and C++ classes are given.

    Widely recognized as the most comprehensive, accessible and practical basis for scientific computing, this new edition incorporates more than 400 Numerical Recipes routines, many of them new or upgraded. The executable C++ code, now printed in color for easy reading, adopts an object-oriented style particularly suited to scientific applications. The whole book is presented in the informal, easy-to-read style that made earlier editions so popular. Please visit www.nr.com or www.cambridge.org/us/numericalrecipes for more details. More information concerning licenses is available at: www.nr.com/licenses New key features: 2 new chapters, 25 new sections, 25% longer than Second Edition Thorough upgrades throughout the text Over 100 completely new routines and upgrades of many more. New Classification and Inference chapter, including Gaussian mixture models, HMMs, hierarchical clustering, Support Vector MachinesNew Computational Geometry chapter covers KD trees, quad- and octrees, Delaunay triangulation, and algorithms for lines, polygons, triangles, and spheres New sections include interior point methods for linear programming, Monte Carlo Markov Chains, spectral and pseudospectral methods for PDEs, and many new statistical distributions An expanded treatment of ODEs with completely new routines Plus comprehensive coverage of linear algebra, interpolation, special functions, random numbers, nonlinear sets of equations, optimization, eigensystems, Fourier methods and wavelets, statistical tests, ODEs and PDEs, integral equations, and inverse theory

    I also hope that it will serve as a useful reference too for the many workers engaged in one type of solid state research activity or another, who may be without formal training in the subject.

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details