Johnson. It was the first book exclusively on the theory of NP-completeness and computational intractability. The book features an appendix providing a thorough compendium of NP-complete problems (which was updated in later printings of the book). The book is now outdated in some respects as it does not cover more recent development such as the PCP theorem. It is nevertheless still in print and is regarded as a classic: in a 2006 study, the CiteSeer search engine listed the book as the most cited reference in computer science literature.

    KEY TOPICS: Written in a reader-friendly style, the book encourages broad problem-solving skills while thoroughly covering the material required for introductory algorithms. The author emphasizes conceptual understanding before the introduction of the formal treatment of each technique. Popular puzzles are used to motivate readers' interest and strengthen their skills in algorithmic problem solving. Other enhancement features include chapter summaries, hints to the exercises, and a solution manual. MARKET: For those interested in learning more about algorithms.

    For nearly a decade, hundreds of thousands of web developers have turned to HTML & XHTML: The Definitive Guide to master standards-based web development. Truly a definitive guide, the book combines a unique balance of tutorial material with a comprehensive reference that even the most experienced web professionals keep close at hand. From basic syntax and semantics to guidelines aimed at helping you develop your own distinctive style, this classic is all you need to become fluent in the language of web design.The new sixth edition guides you through every element of HTML and XHTML in detail, explaining how each element works and how it interacts with other elements. You'll also find detailed discussions of CSS (Cascading Style Sheets), which is intricately related to web page development. The most all-inclusive, up-to-date book on these languages available, this edition covers HTML 4.01, XHTML 1.0, and CSS2, with a preview of the upcoming XHTML2 and CSS3. Other topics include the newer initiatives in XHTML (XForms, XFrames, and modularization) and the essentials of XML for advanced readers. You'll learn how to:Use style sheets to control your document's appearance Work with programmatically generated HTML Create tables, both simple and complex Use frames to coordinate sets of documents Design and build interactive forms and dynamic documents Insert images, sound files, video, Java applets, and JavaScript programs Create documents that look good on a variety of browsersThe authors apply a natural learning approach that uses straightforward language and plenty of examples. Throughout the book, they offer suggestions for style and composition to help you decide how to best use HTML and XHTML to accomplish a variety of tasks. You'll learn what works and what doesn't, and what makes sense to those who view your web pages and what might be confusing. Written for anyone who wants to learn the language of the Web--from casual users to the full-time design professionals--this is the single most important book on HTML and XHTML you can own.Bill Kennedy is chief technical officer of MobileRobots, Inc. When not hacking new HTML pages or writing about them, "Dr. Bill" (Ph.D. in biophysics from Loyola University of Chicago) is out promoting the company's line of mobile, autonomous robots that can be used for artificial intelligence, fuzzy logic research, and education.Chuck Musciano began his career as a compiler writer and crafter of tools at Harris Corporations' Advanced Technology Group and is now a manager of Unix Systems in Harris' Corporate Data Center.

    

    Learn how to leverage the Django web framework to its full potential in this advanced tutorial and reference. Endorsed by Django, Pro Django more or less picks up where The Definitive Guide to Django left off and examines in greater detail the unusual and complex problems that Python web application developers can face and how to solve them.Provides in-depth information about advanced tools and techniques available in every Django installation Runs the gamut from the theory of Django's internal operations to actual code that solves real-world problems for high-volume environments Goes above and beyond other books, leaving the basics behind Shows how Django can do things even its core developers never dreamed possible

    The library is not self-explanatory or fully consistent, and there are still some traps for the unwary. But the advantages far outweigh the problems, especially if you've got an expert book like Nicolai Josuttis' C++ Standard Library to help you. Josuttis starts with an overview of the standard library, and its key interrelationships with the core language. He presents detailed coverage of the STL, the most powerful, complex, and exciting part of the library; then covers special containers, strings, numeric classes, and internationalization; and helps you get more out of a component you're probably already using: the IOStream library. Every component description includes purpose, design, code examples, practical scenarios, pitfalls, and in most cases, reference sources. Whether you need a tutorial or reference, this book delivers the goods.— (Bill Camarda, bn.com, editor)

     This book contains an introduction to quantum mechanics, with complete instructions and videos showing you how to program a real quantum computer, provided by IBM.

    Version control, done well, is your "undo" button for the project: nothing is final, and mistakes are easily rolled back.This book describes Subversion 1.3, the latest and hottest open source version control system, using a recipe-based approach that will get you up and running quickly and correctly. Learn how to use Subversion the right way-the pragmatic way.With this book, you can:Keep all project assets safe--not just source code--and never run the risk of losing a great idea Know how to undo bad decisions--even directories and symlinks are versioned Learn how to share code safely, and work in parallel for maximum efficiency Install Subversion and organize, administer and backup your repository Share code over a network with Apache, svnserve, or ssh Create and manage releases, code branches, merges and bug fixes Manage 3rd party code safely Use all the latest Subversion 1.3 features including locking and path-based security, and much more!Now there's no excuse not to use professional-grade version control.

    Sipser's candid, crystal-clear style allows students at every level to understand and enjoy this field. His innovative "proof idea" sections explain profound concepts in plain English. The new edition incorporates many improvements students and professors have suggested over the years, and offers updated, classroom-tested problem sets at the end of each chapter.

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

     Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats. Yet too few really understand how neural networks actually work. This guide will take you on a fun and unhurried journey, starting from very simple ideas, and gradually building up an understanding of how neural networks work. You won't need any mathematics beyond secondary school, and an accessible introduction to calculus is also included. The ambition of this guide is to make neural networks as accessible as possible to as many readers as possible - there are enough texts for advanced readers already! You'll learn to code in Python and make your own neural network, teaching it to recognise human handwritten numbers, and performing as well as professionally developed networks. Part 1 is about ideas. We introduce the mathematical ideas underlying the neural networks, gently with lots of illustrations and examples. Part 2 is practical. We introduce the popular and easy to learn Python programming language, and gradually builds up a neural network which can learn to recognise human handwritten numbers, easily getting it to perform as well as networks made by professionals. Part 3 extends these ideas further. We push the performance of our neural network to an industry leading 98% using only simple ideas and code, test the network on your own handwriting, take a privileged peek inside the mysterious mind of a neural network, and even get it all working on a Raspberry Pi. All the code in this has been tested to work on a Raspberry Pi Zero.

    This book is neither a step-by-step tutorial nor a reference book. Instead, our goal is to bring a diverse set of software engineering topics together into a single narrative, help readers understand the most important ideas through concrete examples and a learn-by-doing approach, and teach readers enough about each topic to get them started in the field. Courseware for doing the work in the book is available as a virtual machine image that can be downloaded or deployed in the cloud. A free MOOC (massively open online course) at saas-class.org follows the book's content and adds programming assignments and quizzes. See http://saasbook.info for details.

    Crammed with information about host security, it saved many a UNIX system administrator and user from disaster.This second edition is a complete rewrite of the original book. It's packed with twice the pages and offers even more practical information for UNIX users and administrators. It covers features of many types of UNIX systems, including SunOS, Solaris, BSDI, AIX, HP-UX, Digital UNIX, Linux, and others. The first edition was practical, entertaining, and full of useful scripts, tips, and warnings. This edition is all those things -- and more.If you are a UNIX system administrator or user in this security-conscious age, you need this book. It's a practical guide that spells out, in readable and entertaining language, the threats, the system vulnerabilities, and the countermeasures you can adopt to protect your UNIX system, network, and Internet connection. It's complete -- covering both host and network security -- and doesn't require that you be a programmer or a UNIX guru to use it.Practical UNIX & Internet Security describes the issues, approaches, and methods for implementing security measures. It covers UNIX basics, the details of security, the ways that intruders can get into your system, and the ways you can detect them, clean up after them, and even prosecute them if they do get in. Filled with practical scripts, tricks, and warnings, Practical UNIX & Internet Security tells you everything you need to know to make your UNIX system as secure as it possible can be.Contents include:Part I: Computer Security Basics. Introduction and security policies. Part II: User Responsibilities. Users and their passwords, groups, the superuser, the UNIX filesystem, and cryptography. Part III: System Administrator Responsibilities. Backups, defending accounts, integrity checking, log files, programmed threats, physical security, and personnel security. Part IV: Network and Internet Security: telephone security, UUCP, TCP/IP networks, TCP/IP services, WWW, RPC, NIS, NIS+, Kerberos, and NFS. Part V: Advanced Topics: firewalls, wrappers, proxies, and secure programming. Part VI: Handling Security Incidents: discovering a breakin, U.S. law, and trust. VII: Appendixes. UNIX system security checklist, important files, UNIX processes, paper and electronic sources, security organizations, and table of IP services.

    Completely updated to comprehensively reflect the most recent changes to the ISTQB Foundation Syllabus, the book adopts a practical, hands-on approach, covering the fundamental topics that every system and software tester should know. The authors are themselves developers of the ISTQB syllabus and are highly respected international authorities, teachers and authors within the field of software testing.

    But while most of us today can work a computer--albeit with the help of the ever-present computer software manual--we know little about what goes on inside the box and virtually nothing about software designor the world of computer programming. In Patterns of Software, the respected software pioneer and computer scientist, Richard Gabriel, gives us an informative inside look at the world of software design and computer programming and the business that surrounds them. In this wide-ranging volume, Gabriel discusses such topics as whatmakes a successful programming language, how the rest of the world looks at and responds to the work of computer scientists, how he first became involved in computer programming and software development, what makes a successful software business, and why his own company, Lucid, failed in 1994, tenyears after its inception. Perhaps the most interesting and enlightening section of the book is Gabriel's detailed look at what he believes are the lessons that can be learned from architect Christopher Alexander, whose books--including the seminal A Pattern Language--have had a profound influence on the computer programmingcommunity. Gabriel illuminates some of Alexander's key insights--the quality without a name, pattern languages, habitability, piecemeal growth--and reveals how these influential architectural ideas apply equally well to the construction of a computer program. Gabriel explains the concept ofhabitability, for example, by comparing a program to a New England farmhouse and the surrounding structures which slowly grow and are modified according to the needs and desires of the people who live and work on the farm. Programs live and grow, and their inhabitants--the programmers--need to workwith that program the way the farmer works with the homestead. Although computer scientists and software entrepreneurs will get much out of this book, the essays are accessible to everyone and will intrigue anyone curious about Silicon Valley, computer programming, or the world of high technology.