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Algorithms 4th Edition Pearson Education 2011

Author : Robert Sedgewick & Kevin Wayne
ISBN : 9780321573513
Genre : Computers
File Size : 89. 38 MB
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This book is intended to survey the most important computer algorithms in use today, and to teach fundamental techniques to the growing number of people in need of knowing them. It is intended for use as a textbook for a second course in computer science, after students have acquired basic programming skills and familiarity with computer systems. The book also may be useful for self-study or as a reference for people engaged in the development of computer systems or applications programs, since it contains implementations of useful algorithms and detailed information on performance characteristics and clients. The broad perspective taken makes the book an appropriate introduction to the field. the study of algorithms and data structures is fundamental to any computerscience curriculum, but it is not just for programmers and computer-science students. Everyone who uses a computer wants it to run faster or to solve larger problems. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable. From N-body simulation problems in physics to genetic-sequencing problems in molecular biology, the basic methods described here have become essential in scientific research; from architectural modeling systems to aircraft simulation, they have become essential tools in engineering; and from database systems to internet search engines, they have become essential parts of modern software systems. And these are but a few examples—as the scope of computer applications continues to grow, so grows the impact of the basic methods covered here. Before developing our fundamental approach to studying algorithms, we develop data types for stacks, queues, and other low-level abstractions that we use throughout the book. Then we survey fundamental algorithms for sorting, searching, graphs, and strings. The last chapter is an overview placing the rest of the material in the book in a larger context. PREFACE ix Distinctive features The orientation of the book is to study algorithms likely to be of practical use. The book teaches a broad variety of algorithms and data structures and provides sufficient information about them that readers can confidently implement, debug, and put them to work in any computational environment. The approach involves: Algorithms. Our descriptions of algorithms are based on complete implementations and on a discussion of the operations of these programs on a consistent set of examples. Instead of presenting pseudo-code, we work with real code, so that the programs can quickly be put to practical use. Our programs are written in Java, but in a style such that most of our code can be reused to develop implementations in other modern programming languages. Data types. We use a modern programming style based on data abstraction, so that algorithms and their data structures are encapsulated together. Applications. Each chapter has a detailed description of applications where the algorithms described play a critical role. These range from applications in physics and molecular biology, to engineering computers and systems, to familiar tasks such as data compression and searching on the web. A scientific approach. We emphasize developing mathematical models for describing the performance of algorithms, using the models to develop hypotheses about performance, and then testing the hypotheses by running the algorithms in realistic contexts. Breadth of coverage. We cover basic abstract data types, sorting algorithms, searching algorithms, graph processing, and string processing. We keep the material in algorithmic context, describing data structures, algorithm design paradigms, reduction, and problem-solving models. We cover classic methods that have been taught since the 1960s and new methods that have been invented in recent years. Our primary goal is to introduce the most important algorithms in use today to as wide an audience as possible. These algorithms are generally ingenious creations that, remarkably, can each be expressed in just a dozen or two lines of code. As a group, they represent problemsolving power of amazing scope. They have enabled the construction of computational artifacts, the solution of scientific problems, and the development of commercial applications that would not have been feasible without them. x Booksite An important feature of the book is its relationship to the booksite This site is freely available and contains an extensive amount of material about algorithms and data structures, for teachers, students, and practitioners, including: An online synopsis. The text is summarized in the booksite to give it the same overall structure as the book, but linked so as to provide easy navigation through the material. Full implementations. All code in the book is available on the booksite, in a form suitable for program development. Many other implementations are also available, including advanced implementations and improvements described in the book, answers to selected exercises, and client code for various applications. The emphasis is on testing algorithms in the context of meaningful applications. Exercises and answers. The booksite expands on the exercises in the book by adding drill exercises (with answers available with a click), a wide variety of examples illustrating the reach of the material, programming exercises with code solutions, and challenging problems. Dynamic visualizations. Dynamic simulations are impossible in a printed book, but the website is replete with implementations that use a graphics class to present compelling visual demonstrations of algorithm applications. Course materials. A complete set of lecture slides is tied directly to the material in the book and on the booksite. A full selection of programming assignments, with check lists, test data, and preparatory material, is also included. Links to related material. Hundreds of links lead students to background information about applications and to resources for studying algorithms. Our goal in creating this material was to provide a complementary approach to the ideas. Generally, you should read the book when learning specific algorithms for the first time or when trying to get a global picture, and you should use the booksite as a reference when programming or as a starting point when searching for more detail while online. xi Use in the curriculum The book is intended as a textbook in a second course in computer science. It provides full coverage of core material and is an excellent vehicle for students to gain experience and maturity in programming, quantitative reasoning, and problemsolving. Typically, one course in computer science will suffice as a prerequisite—the book is intended for anyone conversant with a modern programming language and with the basic features of modern computer systems. The algorithms and data structures are expressed in Java, but in a style accessible to people fluent in other modern languages. We embrace modern Java abstractions (including generics) but resist dependence upon esoteric features of the language. Most of the mathematical material supporting the analytic results is self-contained (or is labeled as beyond the scope of this book), so little specific preparation in mathematics is required for the bulk of the book, although mathematical maturity is definitely helpful. Applications are drawn from introductory material in the sciences, again self-contained. The material covered is a fundamental background for any student intending to major in computer science, electrical engineering, or operations research, and is valuable for any student with interests in science, mathematics, or engineering. Context The book is intended to follow our introductory text, An Introduction to Programming in Java: An Interdisciplinary Approach, which is a broad introduction to the field. Together, these two books can support a two- or three-semester introduction to computer science that will give any student the requisite background to successfully address computation in any chosen field of study in science, engineering, or the social sciences. The starting point for much of the material in the book was the Sedgewick series of Algorithms books. In spirit, this book is closest to the first and second editions of that book, but this text benefits from decades of experience teaching and learning that material. Sedgewick’s current Algorithms in C/C++/Java, Third Edition is more appropriate as a reference or a text for an advanced course; this book is specifically designed to be a textbook for a one-semester course for first- or second-year college students and as a modern introduction to the basics and a reference for use by working programmers. xii Acknowledgments This book has been nearly 40 years in the making, so full recognition of all the people who have made it possible is simply not feasible. Earlier editions of this book list dozens of names, including (in alphabetical order) Andrew Appel, Trina Avery, Marc Brown, Lyn Dupré, Philippe Flajolet, Tom Freeman, Dave Hanson, Janet Incerpi, Mike Schidlowsky, Steve Summit, and Chris Van Wyk. All of these people deserve acknowledgement, even though some of their contributions may have happened decades ago. For this fourth edition, we are grateful to the hundreds of students at Princeton and several other institutions who have suffered through preliminary versions of the work, and to readers around the world for sending in comments and corrections through the booksite. We are grateful for the support of Princeton University in its unwavering commitment to excellence in teaching and learning, which has provided the basis for the development of this work. Peter Gordon has provided wise counsel throughout the evolution of this work almost from the beginning, including a gentle introduction of the “back to the basics” idea that is the foundation of this edition. For this fourth edition, we are grateful to Barbara Wood for her careful and professional copyediting, to Julie Nahil for managing the production, and to many others at Pearson for their roles in producing and marketing the book. All were extremely responsive to the demands of a rather tight schedule without the slightest sacrifice to the quality of the result. Robert Sedgewick Kevin Wayne Princeton, NJ January, 2011

Handbook Of Pattern Recognition And Computer Vision 4th Edition

Author : Chen Chi Hau
ISBN : 9789814467926
Genre :
File Size : 63. 45 MB
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Both pattern recognition and computer vision have experienced rapid progress in the last twenty-five years. This book provides the latest advances on pattern recognition and computer vision along with their many applications. It features articles written by renowned leaders in the field while topics are presented in readable form to a wide range of readers. The book is divided into five parts: basic methods in pattern recognition, basic methods in computer vision and image processing, recognition applications, life science and human identification, and systems and technology. There are eight new chapters on the latest developments in life sciences using pattern recognition as well as two new chapters on pattern recognition in remote sensing.

Web Style Guide 4th Edition

Author : Patrick J. Lynch
ISBN : 9780300225259
Genre : Computers
File Size : 28. 54 MB
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A classic reference book on user interface design and graphic design for web sites, updated to reflect a rapidly changing market Consistently praised as the best volume on classic elements of web site design, Web Style Guide has sold many thousands of copies and has been published around the world. This new revised edition confirms Web Style Guide as the go-to authority in a rapidly changing market. As web designers move from building sites from scratch to using content management and aggregation tools, the book’s focus shifts away from code samples and toward best practices, especially those involving mobile experience, social media, and accessibility. An ideal reference for web site designers in corporations, government, nonprofit organizations, and academic institutions, the book explains established design principles and covers all aspects of web design—from planning to production to maintenance. The guide also shows how these principles apply in web design projects whose primary concerns are information design, interface design, and efficient search and navigation.

Invent Your Own Computer Games With Python 4th Edition

Author : Al Sweigart
ISBN : 9781593277956
Genre : Computers
File Size : 47. 95 MB
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Invent Your Own Computer Games with Python will teach you how to make computer games using the popular Python programming language—even if you’ve never programmed before! Begin by building classic games like Hangman, Guess the Number, and Tic-Tac-Toe, and then work your way up to more advanced games, like a text-based treasure hunting game and an animated collision-dodging game with sound effects. Along the way, you’ll learn key programming and math concepts that will help you take your game programming to the next level. Learn how to: *Combine loops, variables, and flow control statements into real working programs *Choose the right data structures for the job, such as lists, dictionaries, and tuples *Add graphics and animation to your games with the pygame module *Handle keyboard and mouse input *Program simple artificial intelligence so you can play against the computer *Use cryptography to convert text messages into secret code *Debug your programs and find common errors As you work through each game, you’ll build a solid foundation in Python and an understanding of computer science fundamentals. What new game will you create with the power of Python? The projects in this book are compatible with Python 3.

Law Of The Internet 4th Edition

Author : Delta & Matsuura
ISBN : 9781454878698
Genre : Computers
File Size : 52. 7 MB
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Law of the Internet, Fourth Edition is a two-volume up-to-date legal resource covering electronic commerce and online contracts, privacy and network security, intellectual property and online content management, secure electronic transactions, cryptography, and digital signatures, protecting intellectual property online through link licenses, frame control and other methods, online financial services and securities transactions, antitrust and other liability. The Law of the Internet, Fourth Edition quickly and easily gives you everything you need to provide expert counsel on: Privacy laws and the Internet Ensuring secure electronic transactions, cryptography, and digital signatures Protecting intellectual property online - patents, trademarks, and copyright Electronic commerce and contracting Online financial services and electronic payments Antitrust issues, including pricing, bundling and tying Internal network security Taxation of electronic commerce Jurisdiction in Cyberspace Defamation and the Internet Obscene and indecent materials on the Internet Regulation of Internet access and interoperability The authors George B. Delta and Jeffrey H. Matsuura -- two Internet legal experts who advise America's top high-tech companies -- demonstrate exactly how courts, legislators and treaties expand traditional law into the new context of the Internet and its commercial applications, with all the citations you'll need. The Law of the Internet also brings you up to date on all of the recent legal, commercial, and technical issues surrounding the Internet and provides you with the knowledge to thrive in the digital marketplace. Special features of this two-volume resource include timesaving checklists and references to online resources.

Principles Of Artificial Neural Networks Basic Designs To Deep Learning 4th Edition

Author : Graupe Daniel
ISBN : 9789811201240
Genre : Computers
File Size : 66. 28 MB
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The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new chapters, updates the earlier edition by highlighting recent developments in Deep-Learning Neural Networks, which are the recent leading approaches to neural networks. Uniquely, the book also includes case studies of applications of neural networks — demonstrating how such case studies are designed, executed and how their results are obtained.The title is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.

Foundations Of Algorithms

Author : Richard E. Neapolitan
ISBN : 0763782505
Genre : Computers
File Size : 22. 54 MB
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Part of the new Digital Filmmaker Series! Digital Filmmaking: An Introductionis the first book in the newDigital Filmmaker Series. Designed for an introductory level course in digital filmmaking, it is intended for anyone who has an interest in telling stories with pictures and sound and won't assume any familiarity with equipment or concepts on the part of the student. In addition to the basics of shooting and editing, different story forms are introduced from documentary and live events through fictional narratives. Each of the topics is covered in enough depth to allow anyone with a camera and a computer to begin creating visual projects of quality.


Author : Ravi K
Genre :
File Size : 26. 41 MB
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Computer Machine Vision Theory Algorithms Practicalities 4th Ed E R Davis 2012

Author : Elsevier, Inc
Genre : Computers
File Size : 68. 53 MB
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Preface PREFACE TO THE FOURTH EDITION The first edition came out in 1990, and was welcomed by many researchers and practitioners. However, in the subsequent two decades, the subject moved on at a rapidly accelerating rate, and many topics that hardly deserved a mention in the first edition had to be solidly incorporated in subsequent editions. It seemed particularly important to bring in significant amounts of new material on mathematical morphology, 3-D vision, invariance, motion analysis, object tracking, artificial neural networks, texture analysis, X-ray inspection, foreign object detection, and robust statistics. There are thus new chapters or appendices on these topics, and they have been carefully integrated with the existing material. The greater proportion of the new material has been included in Parts 3 and 4. So great has been the growth in work on 3-D vision and its applications that the original single chapter on 3-D vision had to be expanded into the set of five chapters on 3-D vision and motion forming Part 3, together with a further two chapters on surveillance and in-vehicle vision systems in Part 4. Indeed, these changes have been so radical that the title of the book has had to be modified to reflect them. At this stage, Part 4 encompasses such a range of chapters—covering applications and the components needed for constructing real-time visual pattern recognition systems— that it is difficult to produce a logical ordering for them: notably, the topics interact with each other at a variety of different levels—theory, algorithms, methodologies, practicalities, design constraints, and so on. However, this should not matter in practice, as the reader will be exposed to the essential richness of the subject, and his/her studies should be amply rewarded by increased understanding and capability. It is worth remarking that, at this point in time, computer vision has attained a level of maturity that has made it substantially more rigorous, reliable, generic, and—in the light of the improved hardware facilities now available for its implementation (not least, FPGA and GPU types of solution)—capable of real-time performance. This means that workers are more than ever before using it in serious applications, and with fewer practical difficulties. It is intended that this edition of the book will reflect this radically new and exciting state of affairs at a fundamental level. A typical final-year undergraduate course on vision for electronic engineering or computer science students might include much of the work of Chapters 110 and 14, 15, plus a selection of sections from other chapters, according to requirements. For MSc or PhD research students, a suitable lecture course might go on to cover Part 3 in depth, including several of the chapters in Part 4,1 with many practical exercises being undertaken on an image analysis system. Here, much will depend on the research program being undertaken by each individual student. At this stage, the text will have to be used more as a handbook for research, and indeed, one of the prime aims of the volume is to act as a handbook for the researcher and practitioner in this important area. As mentioned in the original Preface, this book leans heavily on experience I have gained from working with postgraduate students: in particular, I would like to express my gratitude to Mark Edmonds, Simon Barker, Daniel Celano, Darrel Greenhill, Derek Charles, Mark Sugrue, and Georgios Mastorakis, all of whom have in their own ways helped to shape my view of the subject. In addition, it is a special pleasure to recall very many rewarding discussions with my colleagues Barry Cook, Zahid Hussain, Ian Hannah, Dev Patel, David Mason, Mark Bateman, Tieying Lu, Adrian Johnstone, and Piers Plummer, the last two named having been particularly prolific in generating hardware systems for implementing my research group’s vision algorithms. Next, I am immensely grateful to Majid Mirmehdi for reading much of the manuscript and making insightful comments and valuable suggestions. Finally, I am indebted to Tim Pitts of Elsevier Science for his help and encouragement, without which this fourth edition might never have been completed. SUPPORTING MATERIALS Elsevier’s website for the book contains resources to help students and other readers using this text. For further information, go to the publisher’s website: E. R. DAVIES Royal Holloway, University of London

Quantum Computing And Communications

Author : Sandor Imre
ISBN : 9781118725474
Genre : Computers
File Size : 60. 87 MB
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Quantum computers will revolutionize the way telecommunications networks function. Quantum computing holds the promise of solving problems that would be intractable with conventional computers by implementing principles from quantum physics in the development of computer hardware, software and communications equipment. Quantum-assisted computing will be the first step towards full quantum systems, and will cause immense disruption of our traditional networks. The world’s biggest manufacturers are investing large amounts of resources to develop crucial quantum-assisted circuits and devices. Quantum Computing and Communications: Gives an overview of basic quantum computing algorithms and their enhanced versions such as efficient database searching, counting and phase estimation. Introduces quantum-assisted solutions for telecom problems including multi-user detection in mobile systems, routing in IP based networks, and secure ciphering key distribution. Includes an accompanying website featuring exercises (with solution manual) and sample algorithms from the classical telecom world, corresponding quantum-based solutions, bridging the gap between pure theory and engineering practice. This book provides telecommunications engineers, as well as graduate students and researchers in the fields of computer science and telecommunications, with a wide overview of quantum computing & communications and a wealth of essential, practical information.

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