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C++ plus data structures, Dale, Nell Weems, Chip Richards, Tim


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Автор: Dale, Nell Weems, Chip Richards, Tim
Название:  C++ plus data structures
ISBN: 9781284089189
Издательство: Mare Nostrum (Eurospan)
Классификация:
ISBN-10: 1284089185
Обложка/Формат: Hardback
Страницы: 838
Вес: 1.51 кг.
Дата издания: 09.09.2016
Язык: English
Издание: 6 revised edition
Размер: 235 x 194 x 39
Рейтинг:
Поставляется из: Англии
Описание: C++ Plus Data Structures, Sixth Edition explores the specifications, applications, and implementations of abstract data types with unmatched accessibility. Topics such as modularization, data encapsulation, information hiding, object-oriented decomposition, algorithm analysis, life-cycle software verification models, and data abstraction are carefully presented to foster solid software engineering techniques.NEW amp KEY FEATURES OF THE SIXTH EDITION:•UPDATED – Updated with new C++ features including range-based for loops and threads•NEW – Includes a new Chapter , Trees Plus, that emphasizes balancing of search trees by covering AVL Trees, Red-Black Trees, and B-Trees•NEW – Includes a new chapter on Sets, Maps, and Hashing•NEW – Chapter 2, Sorting, now includes practical performance issues and parallel merge sort•NEW – Chapters in the second half of the text are now easier to assign in alternate orders, supporting a wider range of course goals and organizations•NEW – Modern new design enhances the look and feel of the text•STUDENT FAVORITE – Pedagogical features include: chapter openers with goals, marginal definition boxes, algorithm boxes, C++ boxes, function boxes, case studies, chapter summary, and end of chapter exercises
Дополнительное описание: Computer networking and communications


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Описание: This textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms—supported by motivating examples—that bring meaning to the problems faced by computer programmers. The idea of computational complexity is introduced, demonstrating what can and cannot be computed efficiently at scale, helping programmers make informed judgements about the algorithms they use. The easy-to-read text assumes some basic experience in computer programming and familiarity in an object-oriented language, but not necessarily with Python. Topics and features: * Includes introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses * Provides learning goals, review questions, and programming exercises in each chapter, as well as numerous examples * Presents a primer on Python for those coming from a different language background * Adds a new chapter on multiprocessing with Python using the DragonHPC multinode implementation of multiprocessing (includes a tutorial) * Reviews the use of hashing in sets and maps, and examines binary search trees, tree traversals, and select graph algorithms * Offers downloadable programs and supplementary files at an associated website to help students Students of computer science will find this clear and concise textbook invaluable for undergraduate courses on data structures and algorithms, at both introductory and advanced levels. The book is also suitable as a refresher guide for computer programmers starting new jobs working with Python. Dr. Kent D. Lee is a Professor Emeritus of Computer Science at Luther College, Decorah, Iowa, USA. He is the author of the successful Springer books, Python Programming Fundamentals, and Foundations of Programming Languages. Dr. Steve Hubbard is a Professor Emeritus of Mathematics and Computer Science at Luther College.

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