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Algorithms, 4 ed.



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Автор: Sedgewick Robert
Название:  Algorithms, 4 ed.   (Роберт Седжвик: Алгоритмы)
Издательство: Pearson Education
Классификация:
Структуры данных
Алгоритмы и процедуры

ISBN: 032157351X
ISBN-13(EAN): 9780321573513
ISBN: 0-321-57351-X
ISBN-13(EAN): 978-0-321-57351-3
Обложка/Формат: Hardback
Страницы: 896
Вес: 1.412 кг.
Дата издания: 02.01.2011
Язык: ENG
Издание: 4 rev ed
Иллюстрации: Illustrations
Размер: 232 x 187 x 36
Читательская аудитория: Professional & vocational
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Поставляется из: США
Описание: This fourth edition of Robert Sedgewick and Kevin Wayne s Algorithms is the leading textbook on algorithms today and is widely used in colleges and universities worldwide. This book surveys the most important computer 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. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu, contains
  • An online synopsis
  • Full Java implementations
  • Test data
  • Exercises and answers
  • Dynamic visualizations
  • Lecture slides
  • Programming assignments with checklists
  • Links to related material
The MOOC related to this book is accessible via the Online Course link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.




      Старое издание
Algorithms in java, parts 1-4

Автор: Robert Sedgewick
Название: Algorithms in java, parts 1-4
ISBN: 0201361205 ISBN-13(EAN): 9780201361209
Издательство: Pearson Education
Цена: 3201 р.
Наличие на складе: Есть у поставщикаПоставка под заказ.
Описание: Provides extensive coverage of fundamental data structures and algorithms for sorting, searching, and related applications. This book includes Java class implementations of more than 100 important practical algorithms. It emphasises on ADTs, modular programming, and object-oriented programming. It also covers arrays, linked lists, trees, and more.


Introduction to algorithms  3 ed.

Автор: Cormen, Thomas H., E
Название: Introduction to algorithms 3 ed.
ISBN: 0262033844 ISBN-13(EAN): 9780262033848
Издательство: Wiley
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Цена: 8569 р.
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Описание: A new edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-base flow.

Introduction to Algorithms

Автор: Cormen Thomas H
Название: Introduction to Algorithms
ISBN: 0262533057 ISBN-13(EAN): 9780262533058
Издательство: Wiley
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Цена: 5115 р.
Наличие на складе: Невозможна поставка.

Описание: Not available in the U.S or Canada. International Student Paperback Edition. A new edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-base flow.

Boosting: Foundations and Algorithms

Автор: Schapire Robert E., Freund Yoav
Название: Boosting: Foundations and Algorithms
ISBN: 0262526034 ISBN-13(EAN): 9780262526036
Издательство: Wiley
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Цена: 3344 р.
Наличие на складе: Поставка под заказ.

Описание:

An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones.

Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate "rules of thumb." A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical.

This book, written by the inventors of the method, brings together, organizes, simplifies, and substantially extends two decades of research on boosting, presenting both theory and applications in a way that is accessible to readers from diverse backgrounds while also providing an authoritative reference for advanced researchers. With its introductory treatment of all material and its inclusion of exercises in every chapter, the book is appropriate for course use as well.

The book begins with a general introduction to machine learning algorithms and their analysis; then explores the core theory of boosting, especially its ability to generalize; examines some of the myriad other theoretical viewpoints that help to explain and understand boosting; provides practical extensions of boosting for more complex learning problems; and finally presents a number of advanced theoretical topics. Numerous applications and practical illustrations are offered throughout.

Algorithms in Bioinformatics

Автор: Keith Crandall; Jens Lagergren
Название: Algorithms in Bioinformatics
ISBN: 3540873600 ISBN-13(EAN): 9783540873600
Издательство: Springer
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Цена: 8134 р.
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Описание: Constitutes the refereed proceedings of the 8th International Workshop on Algorithms in Bioinformatics, WABI 2008, held in Karlsruhe, Germany, in September 2008 as part of the ALGO 2008 meeting. This title includes topics that range in biological applicability from genome mapping, to sequence assembly, to microarray quality, to molecular modeling.

Grammatical Inference: Algorithms and Applications

Автор: Alexander Clark; Fran?ois Coste; Laurent Miclet
Название: Grammatical Inference: Algorithms and Applications
ISBN: 3540880089 ISBN-13(EAN): 9783540880080
Издательство: Springer
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Цена: 6544 р.
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Описание: Constitutes the refereed proceedings of the 9th International Colloquium on Grammatical Inference, ICGI 2008, held in Saint-Malo, France, in September 2008. This title also includes papers on topics ranging from theoretical results of learning algorithms to innovative applications of grammatical inference.

Adaptive and Natural Computing Algorithms

Автор: Bartlomiej Beliczynski; Andrzej Dzielinski; Marcin
Название: Adaptive and Natural Computing Algorithms
ISBN: 3540715908 ISBN-13(EAN): 9783540715900
Издательство: Springer
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Цена: 12154 р.
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Описание: The two volume set LNCS 4431 and LNCS 4432 constitutes the refereed proceedings of the 8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007, held in Warsaw, Poland, in April 2007. The 178 revised full papers presented were carefully reviewed and selected from a total of 474 submissions.

Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques

Автор: Chandra Chekuri; Klaus Jansen; Jos? D.P. Rolim; Lu
Название: Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques
ISBN: 3540282394 ISBN-13(EAN): 9783540282396
Издательство: Springer
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Цена: 9349 р.
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Описание: Contains 41 reviewed papers, selected by the two program committees from a total of 101 submissions. Among the issues addressed are design and analysis of approximation algorithms, hardness of approximation, small space and data streaming algorithms, sub-linear time algorithms, embeddings and metric space methods, and more.

High Performance Deformable Image Registration Algorithms for Man

Автор: James Shackleford
Название: High Performance Deformable Image Registration Algorithms for Man
ISBN: 0124077412 ISBN-13(EAN): 9780124077416
Издательство: Elsevier Science
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Цена: 4035 р. 4483.00 -10%
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Описание: High Performance Deformable Image Registration Algorithms for Manycore Processors develops highly data-parallel image registration algorithms suitable for use on modern multi-core architectures, including graphics processing units (GPUs). Focusing on deformable registration, we show how to develop data-parallel versions of the registration algorithm suitable for execution on the GPU. Image registration is the process of aligning two or more images into a common coordinate frame and is a fundamental step to be able to compare or fuse data obtained from different sensor measurements. Extracting useful information from 2D/3D data is essential to realizing key technologies underlying our daily lives. Examples include autonomous vehicles and humanoid robots that can recognize and manipulate objects in cluttered environments using stereo vision and laser sensing and medical imaging to localize and diagnose tumors in internal organs using data captured by CT/MRI scans.

Nine Algorithms That Changed the Future

Автор: MacCormick John
Название: Nine Algorithms That Changed the Future
ISBN: 0691158193 ISBN-13(EAN): 9780691158198
Издательство: Wiley
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Цена: 1622 р.
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Описание:

Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack: the billions of pages on the World Wide Web. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers; and we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease?

This is the first book to answer that question in language anyone can understand, revealing the extraordinary ideas that power our PCs, laptops, and smartphones. Using vivid examples, John MacCormick explains the fundamental "tricks" behind nine types of computer algorithms, including artificial intelligence (where we learn about the "nearest neighbor trick" and "twenty questions trick"), Google's famous PageRank algorithm (which uses the "random surfer trick"), data compression, error correction, and much more.

These revolutionary algorithms have changed our world: this book unlocks their secrets, and lays bare the incredible ideas that our computers use every day.

Shadow Algorithms Data Miner

Автор: Woo
Название: Shadow Algorithms Data Miner
ISBN: 1439880239 ISBN-13(EAN): 9781439880234
Издательство: Taylor&Francis
Рейтинг:
Цена: 6478 р.
Наличие на складе: Невозможна поставка.

Описание: Shadow Algorithms Data Miner provides a high-level understanding of the complete set of shadow concepts and algorithms, addressing their usefulness from a larger graphics system perspective. It discusses the applicability and limitations of all the direct illumination approaches for shadow generation. With an emphasis on shadow fundamentals, the book gives an organized picture of the motivations, complexities, and categorized algorithms available to generate digital shadows. It helps readers select the most relevant algorithms for their needs by placing the shadow algorithms in real-world contexts and looking at them from a larger graphics system perspective. As a result, readers know where to start for their application needs, which algorithms to begin considering, and which papers and supplemental material should be consulted for further details.

Algorithms for Global Positioning

Автор: Strang
Название: Algorithms for Global Positioning
ISBN: 0980232732 ISBN-13(EAN): 9780980232738
Издательство: Cambridge Academ
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Цена: 6765 р.
Наличие на складе: Невозможна поставка.

Описание: The emergence of satellite technology has changed the lives of millions of people. In particular, GPS has brought an unprecedented level of accuracy to the field of geodesy. This text is a guide to the algorithms and mathematical principles that account for the success of GPS technology and replaces the authors' previous work, Linear Algebra, Geodesy, and GPS (1997). An initial discussion of the basic concepts, characteristics and technical aspects of different satellite systems is followed by the necessary mathematical content which is presented in a detailed and self-contained fashion. At the heart of the matter are the positioning algorithms on which GPS technology relies, the discussion of which will affirm the mathematical contents of the previous chapters. Numerous ready-to-use MATLAB codes are included for the reader. This comprehensive guide will be invaluable for engineers and academic researchers who wish to master the theory and practical application of GPS technology.

Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics

Автор: Thomas St?tzle; Mauro Birattari; Holger H. Hoos
Название: Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
ISBN: 364203750X ISBN-13(EAN): 9783642037504
Издательство: Springer
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Цена: 6544 р.
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Описание: SLS methods include a wide spectrum of te- niques, ranging from constructive search procedures and iterative improvement algorithms to more complex SLS methods, such as ant colony optimization, evolutionary computation, iterated local search, memetic algorithms, simulated annealing, tabu search, and variable neighborhood search.


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