Hibbeler continues to be the most student friendly text on the market. The new edition offers a new four-color, photorealistic art program to help students better visualize difficult concepts. Hibbeler continues to have over 1/3 more examples than its competitors, Procedures for Analysis problem solving sections, and a simple, concise writing style. Each chapter is organized into well-defined units that offer instructors great flexibility in course emphasis. Hibbeler combines a fluid writing style, cohesive organization, outstanding illustrations, and dynamic use of exercises, examples, and free body diagrams to help prepare tomorrow's engineers.

    Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    By staying current, remaining relevant, and adapting to emerging course needs, this market-leading text has continued to define the operating systems course. This Seventh Edition not only presents the latest and most relevant systems, it also digs deeper to uncover those fundamental concepts that have remained constant throughout the evolution of today's operation systems. With this strong conceptual foundation in place, students can more easily understand the details related to specific systems. New Adaptations * Increased coverage of user perspective in Chapter 1. * Increased coverage of OS design throughout. * A new chapter on real-time and embedded systems (Chapter 19). * A new chapter on multimedia (Chapter 20). * Additional coverage of security and protection. * Additional coverage of distributed programming. * New exercises at the end of each chapter. * New programming exercises and projects at the end of each chapter. * New student-focused pedagogy and a new two-color design to enhance the learning process.

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

    All of the mentioned are just puppets on an invisible string doing the biddings of a few unseen puppeteers. Yes, that’s right. A few elite and undisclosed organizations send our children off to war, restrict the growth of the middle class, and limit educational opportunities for American citizens. The sad truth is this is nothing new. Thomas Jefferson and Benjamin Franklin warned of the dangers and destructive power of these elites if left unchecked. These few unchosen were able, and continue, to use the Federal Reserve Banking System, universities, and war to create economic recessions and depressions that provide unnoticed benefits to a select group of social manipulators. In this stunning new book, Mark Mullen takes us on an intellectual journey through the world of secret partnerships created by unfamiliar ideologues designed to acquire most of the nation’s wealth and power. In Who Controls America, Mullen shines a light on those few elites who place greed, power, and profits above the interests of the American citizen and the pursuit of the American Dream.

    

    You have also created a website for your business that details the products or services that you offer, but it doesn't allow potential customers to purchase anything online. Don't risk losing business-learn to create a dynamic online environment using only three programs. PHP, MySQL and Apache are three popular open-source tools that can work together to help you create a dynamic website, such as an online shopping experience. Sams Teach Yourself PHP, MySQL and Apache All in One is a complete reference manual for all three development tools. You will learn how to install, configure and set up the PHP scripting language, use the MySQL database system, and work with the Apache Web server. Then you'll take it a step further and discover how they work together to create a dynamic website. Use the book and the included CD to create a simple website, as well as a mailing list, online address book, shopping cart and storefront. Updated to reflect the most recent developments in PHP and MySQL, including the final stable release of MySQL 5.0, you will open your website to limitless possibilities with Sams Teach Yourself PHP, MySQL and Apache All in One.

    So begins the story of Sonia MacTaggert. An engineer by education with dreams of actually earning a living as one, she is stuck in a dead-end maintenance job servicing the engines of starships that put into port at Tammuz. When she finally lands an engineering position on the starship Night Searcher, she finds herself thrust into the unfamiliar world of interstellar exploration on a ship with a classified mission. Has her quest for a new life and career gotten Sonia more than she bargained for? The voyage of the Night Searcher tests not only the technical savvy of the fledgling engineer, but her character and leadership, as she's faced with challenges she could never have seen coming.

    

    An examination of resultant forces and resolved components, systematic analysis of trusses, moment of inertia calculation, velocity ratio and various types of motion in dynamics are among the topics discussed.

    Table of contents: supply systems mechanical design of overhead lines overhead line insulators corona transmission line constants performance of short and medium transmission lines performance of long transmission lines underground cables dc distribution ac distribution insulation resistance of a system interference of power lines with neighboring communication lines extra high voltage ac transmission high voltage direct current (hvdc) transmission construction, testing and commissioning of overhead lines neutral grounding voltage control power system stability power flow studies objective type questions with answers index

    Emphasis is placed on understanding the crisp mathematical idea behind each algorithm, in a manner that is intuitive and rigorous without being unduly formal. Features include: The use of boxes to strengthen the narrative: pieces that provide historical context, descriptions of how the algorithms are used in practice, and excursions for the mathematically sophisticated.Carefully chosen advanced topics that can be skipped in a standard one-semester course, but can be covered in an advanced algorithms course or in a more leisurely two-semester sequence.An accessible treatment of linear programming introduces students to one of the greatest achievements in algorithms. An optional chapter on the quantum algorithm for factoring provides a unique peephole into this exciting topic. In addition to the text, DasGupta also offers a Solutions Manual, which is available on the Online Learning Center.Algorithms is an outstanding undergraduate text, equally informed by the historical roots and contemporary applications of its subject. Like a captivating novel, it is a joy to read. Tim Roughgarden Stanford University

    Unlike other introductory books, it focuses on the program design process. This approach fosters a variety of skills--critical reading, analytical thinking, creative synthesis, and attention to detail--that are important for everyone, not just future computer programmers. The book exposes readers to two fundamentally new ideas. First, it presents program design guidelines that show the reader how to analyze a problem statement; how to formulate concise goals; how to make up examples; how to develop an outline of the solution, based on the analysis; how to finish the program; and how to test. Each step produces a well-defined intermediate product. Second, the book comes with a novel programming environment, the first one explicitly designed for beginners. The environment grows with the readers as they master the material in the book until it supports a full-fledged language for the whole spectrum of programming tasks.All the book's support materials are available for free on the Web. The Web site includes the environment, teacher guides, exercises for all levels, solutions, and additional projects.A second edition is now available.

    The book covers the fundamental aspects of analysis and design, and also discusses practical requirements such as safety, feasibility, and economy of structural elements. It is hoped that the text would also serve as an introduction to postgraduate students. Practicing civil engineers and consultants who need a review of current practice and current IS specifications will also find it useful as a reference.