Books: **167**

Cover | Title | Year |
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Build better software with essential software engineering techniques.
Beginning Software Engineering teaches you the practical, hands-on skills needed to design and build robust, efficient, and consistently reliable software. Using jargon-free English, this book uses numerous case studies to demonstrate more » important concept sand techniques, and describes methods that can be applied to any programming language. Each chapter concludes with a Try It Out and How It Works section where you can test your skills with practice exercises. No previous programming, development, or management experience is required for you to learn how to complete essential tasks within all development approaches including linear,waterfall, and agile.
* Understand the concept of software engineering
* Explore the pros and cons of major development approaches and learn the major tasks performed regardless of approach
* Discover how tasks are handled differently between approaches
Written for new programmers wanting to build excellent, functional software, Beginning Software Engineering provides vital information and hands-on training. « less | 2015 | |

Offers a comprehensive introduction to the fundamental structures and applications of a wide range of contemporary coding operations
This book offers a comprehensive introduction to the fundamental structures and applications of a wide range of contemporary coding operations. This text focuses on the more » ways to structure information so that its transmission will be in the safest, quickest, and most efficient and error-free manner possible. All coding operations are covered in a single framework, with initial chapters addressing early mathematical models and algorithmic developments which led to the structure of code. After discussing the general foundations of code, chapters proceed to cover individual topics such as notions of compression, cryptography, detection, and correction codes. Both classical coding theories and the most cutting-edge models are addressed, along with helpful exercises of varying complexities to enhance comprehension.
* Explains how to structure coding information so that its transmission is safe, error-free, efficient, and fast
* Includes a pseudo-code that readers may implement in their preferential programming language
* Features descriptive diagrams and illustrations, and almost 150 exercises, with corrections, of varying complexity to enhance comprehension
Foundations of Coding: Compression, Encryption,Error-Correction is an invaluable resource for understanding the various ways information is structured for its secure and reliable transmission in the 21st-century world. « less | 2015 | |

This book is Part I of the fourth edition of Robert Sedgewick and Kevin Wayne's Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part I contains Chapters 1 through 3 of the book. The fourth edition of Algorithms surveys the most important computer more » 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. « less | 2014 | |

This book is Part II of the fourth edition of Robert Sedgewick and Kevin Wayne's Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part II contains Chapters 4 through 6 of the book. The fourth edition of Algorithms surveys the most important computer more » 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. « less | 2014 | |

Despite growing interest, basic information on methods and models for mathematically analyzing algorithms has rarely been directly accessible to practitioners, researchers, or students. An Introduction to the Analysis of Algorithms, 2ond Edition, organizes and presents that knowledge, fully introducing more » primary techniques and results in the field.
Techniques covered in the first half of the book include recurrences, generating functions, asymptotics, and analytic combinatorics. Structures studied in the second half of the book include permutations, trees, strings, tries, and mappings. « less | 2013 | |

Complexity Science and Computational Modeling Expand your Python skills by working with data structures and algorithms in a refreshing context - through an eye-opening exploration of complexity science. Whether you're an intermediate-level Python programmer or a student of computational modeling, you'll delve into examples of complex systems through more » a series of exercises, case studies, and easy-to-understand explanations.
You'll work with graphs, algorithm analysis, scale-free networks, and cellular automata, using advanced features that make Python such a powerful language. Ideal as a text for courses on Python programming and algorithms, Think Complexity will also help self-learners gain valuable experience with topics and ideas they might not encounter otherwise. « less | 2012 | |

There is a software gap between the hardware potential and the performance that can be attained using today's software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code. Programming a parallel computer requires closely studying the target more » algorithm or application, more so than in the traditional sequential programming we have all learned. The programmer must be aware of the communication and data dependencies of the algorithm or application. This book provides the techniques to explore the possible ways to program a parallel computer for a given application. « less | 2011 | |

Essential Information about Algorithms and Data Structures The latest version of Sedgewick's best-selling series, reflecting an indispensable body of knowledge developed over the past several decades.
Full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing, including fifty algorithms every programmer more » should know.
New Java implementations written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use.
Algorithms are studied in the context of important scientific, engineering, and commercial applications. Clients and algorithms are expressed in real code, not the pseudo-code found in many other books. « less | 2011 | |

This book describes the principles of image and video compression techniques and introduces current and popular compression standards, such as the MPEG series. Derivations of relevant compression algorithms are developed in an easy-to-follow fashion. Numerous examples are provided in each chapter to more » illustrate the concepts. The book includes complementary software written in MATLAB SIMULINK to give readers hands-on experience in using and applying various video compression methods. Readers can enhance the software by including their own algorithms. « less | 2010 | |

The Spirit of Computing The best selling 'Algorithmics' presents the most important, concepts, methods and results that are fundamental to the science of computing. It starts by introducing the basic ideas of algorithms, including their structures and methods of data manipulation. It then goes on to demonstrate how to design more » accurate and efficient algorithms, and discusses their inherent limitations. As the author himself says in the preface to the book; 'This book attempts to present a readable account of some of the most important and basic topics of computer science, stressing the fundamental and robust nature of the science in a form that is virtually independent of the details of specific computers, languages and formalisms'. « less | 2004 |