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An Introduction to Data Structures and Algorithms, John C. Cherniavsky; J.A. Storer


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Цена: 6986.00р.
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Автор: John C. Cherniavsky; J.A. Storer
Название:  An Introduction to Data Structures and Algorithms
ISBN: 9781461266013
Издательство: Springer
Классификация:





ISBN-10: 1461266017
Обложка/Формат: Paperback
Страницы: 599
Вес: 1.06 кг.
Дата издания: 21.11.2012
Язык: English
Размер: 254 x 178 x 32
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

Data structures and algorithms are presented at the college level in a highly accessible format that presents material with one-page displays in a way that will appeal to both teachers and students. The thirteen chapters cover: Models of Computation, Lists, Induction and Recursion, Trees, Algorithm Design, Hashing, Heaps, Balanced Trees, Sets Over a Small Universe, Graphs, Strings, Discrete Fourier Transform, Parallel Computation.

Key features:

* Complicated concepts are expressed clearly in a single page with minimal notation and without the clutter of the syntax of a particular programming language; algorithms are presented with self-explanatory pseudo-code.

* Chapters 1-4 focus on elementary concepts, the exposition unfolding at a slower pace. Sample exercises with solutions are provided. Sections that may be skipped for an introductory course are starred. Requires only some basic mathematics background and some computer programming experience.

* Chapters 5-13 progress at a faster pace. The material is suitable for undergraduates or first-year graduates who need only review Chapters 1-4.

* Chapters 1-4. This book may be used for a one-semester introductory course (based on Chapters 1-4 and portions of the chapters on algorithm design, hashing, and graph algorithms) and for a one-semester advanced course that starts at Chapter 5. A yearlong course may be based on the entire book.

* Sorting, often perceived as rather technical, is not treated as a separate chapter, but is used in many examples (including bubble sort, merge sort, tree sort, heap sort, quick sort, and several parallel algorithms). Also, lower bounds on sorting by comparisons are included with the presentation of heaps in the context of lower bounds for comparison-based structures.

* Chapter 13 on parallel models of computation is something of a mini-book itself, and a good way to end a course. Although it is not clear what parallel architectures will prevail in the future, the idea is to further teach fundamental concepts in the design of algorithms by exploring classic models of parallel computation, including the PRAM, generic PRAM simulation, HC/CCC/Butterfly, the mesh, and parallel hardware area-time tradeoffs (with many examples).

Apart from classroom use, this book serves as a good reference on the subject of data structures and algorithms. Its page-at-a-time format makes it easy to review material that the reader has studied in the past.




Introduction to Modern Economic Growth

Автор: Acemoglu, Daron
Название: Introduction to Modern Economic Growth
ISBN: 0691132925 ISBN-13(EAN): 9780691132921
Издательство: Wiley
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Цена: 8712.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Gives graduate student`s tools to analyze growth and related macroeconomic problems, and also perspective needed to apply those tools to the big-picture questions of growth and divergence. In this title, the author introduces economic and mathematical foundations of modern growth theory and macroeconomics in a rigorous and easy to follow manner.

Introduction to algorithms  3 ed.

Автор: Cormen, Thomas H., E
Название: Introduction to algorithms 3 ed.
ISBN: 0262033844 ISBN-13(EAN): 9780262033848
Издательство: MIT Press
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Цена: 27588.00 р.
Наличие на складе: Нет в наличии.

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 Sustainable Development

Автор: Elliott, Jennifer (University of Brighton, UK)
Название: Introduction to Sustainable Development
ISBN: 0415590736 ISBN-13(EAN): 9780415590730
Издательство: Taylor&Francis
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Цена: 7654.00 р.
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Описание: Thisfourth edition has been comprehensively rewritten and updated to provide a concise, well illustrated and accessible introduction to the characteristics, challenges and opportunities of sustainable development with particular reference to developing countries. The contested nature of sustainable development is explored through a detailed consideration of changing ideas and practices within environmentalism and development thinking.The text identifies the different actors involved (from institutions of global governance through to community based organisations), the policies and mechanisms through which sustainable development is being sought and considers the outcomes for particular groups and environments in both rural and urban contexts. ?? This edition places stronger emphasis on the global challenges of sustainable development with an understanding of inter-linked crises in climate, energy, economy, poverty and social injustice. It explores how these issues are leading to deep questioning of what sustainable development is, what it should be, and how sustainable development policies and mechanisms are being reconsidered.The book gives new consideration to the challenge of achieving lower carbon growth, climate adaptation, and the implications on sustainable development of rapidly expanding economies, including China and India.It contains greater discussion of how civil society movements influence outcomes of international climate policy, as well as technological developments in energy and agriculture. The text also contains a substantially expanded discussion of how poverty remains central to sustainable development challenges, as revealed through the Millennium Ecosystem Assessment and Millennium Development Goals. This invaluable text retains the core message that sustainable development has become central to debates about environment and development.Containing a substantial number of new boxed case studies, learning outcomes, chapter summaries, discussion questions, further reading and websites, this text provides an essential introduction for students.

Introduction to Discourse Analysis

Автор: Gee James Paul
Название: Introduction to Discourse Analysis
ISBN: 0415725569 ISBN-13(EAN): 9780415725569
Издательство: Taylor&Francis
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Цена: 4224.00 р.
Наличие на складе: Поставка под заказ.

Описание: Assuming no prior knowledge of linguistics, An Introduction to Discourse Analysis examines the field and presents James Paul Gee`s unique integrated approach which incorporates both a theory of language-in-use and a method of research.

An Introduction to Intercultural Communication: Identities in a Global Community

Автор: Jandt Fred E.
Название: An Introduction to Intercultural Communication: Identities in a Global Community
ISBN: 1483344304 ISBN-13(EAN): 9781483344300
Издательство: Sage Publications
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Цена: 13781.00 р.
Наличие на складе: Поставка под заказ.

Описание: Latest edition of the best-selling student introduction to intercultural communication. Global in focus, full of pedagogy and adopted on courses across the world.

Introduction to Sociology

Автор: Ritzer George
Название: Introduction to Sociology
ISBN: 1483302946 ISBN-13(EAN): 9781483302942
Издательство: Sage Publications
Цена: 10613.00 р.
Наличие на складе: Поставка под заказ.

An Introduction to Multivariate Statistical Analysis, Third Edition

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
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Цена: 27712.00 р.
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Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.

Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

Автор: Kelleher John D., Macnamee Brian, D`Arcy Aoife
Название: Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies
ISBN: 0262029448 ISBN-13(EAN): 9780262029445
Издательство: MIT Press
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Цена: 13543.00 р.
Наличие на складе: Нет в наличии.

Описание:

A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.

Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.

After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.

Introduction to statistical physics

Автор: Huang, Kerson,
Название: Introduction to statistical physics
ISBN: 1420079026 ISBN-13(EAN): 9781420079029
Издательство: Taylor&Francis
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Цена: 10717.00 р.
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Описание: Written by a world-renowned theoretical physicist, this textbook familiarizes advanced undergraduate students with the different aspects of statistical physics. Along with many exercises, it includes a discussion of phase transition in thermodynamics. It also covers stochastic processes.

Introduction to Econometrics, 5 ed.

Автор: Dougherty Christopher
Название: Introduction to Econometrics, 5 ed.
ISBN: 0199676828 ISBN-13(EAN): 9780199676828
Издательство: Oxford Academ
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Цена: 12037.00 р.
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Описание: Combining the rigour of econometric theory with an accessible style, Dougherty`s step by step explanations and relevant practical exercises ensure students develop an intuitive understanding of econometrics, and gain hands-on experience of the tools used in economic and financial forecasting.

Proofs and Algorithms: Introduction to Logic and Computability Theory

Автор: Gilles Dowek
Название: Proofs and Algorithms: Introduction to Logic and Computability Theory
ISBN: 0857291203 ISBN-13(EAN): 9780857291202
Издательство: Springer
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Цена: 4884.00 р.
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Описание: Logic is a branch of philosophy, mathematics and computer science. It studies the required methods to determine whether a statement is true, such as reasoning and computation.Proofs and Algorithms: Introduction to Logic and Computability is an introduction to the fundamental concepts of contemporary logic - those of a proof, a computable function, a model and a set. It presents a series of results, both positive and negative, - Church's undecidability theorem, G?del’s incompleteness theorem, the theorem asserting the semi-decidability of provability - that have profoundly changed our vision of reasoning, computation, and finally truth itself.Designed for undergraduate students, this book presents all that philosophers, mathematicians and computer scientists should know about logic.

Biophysics: An Introduction

Автор: Glaser, Roland
Название: Biophysics: An Introduction
ISBN: 3642252117 ISBN-13(EAN): 9783642252112
Издательство: Springer
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Цена: 13974.00 р.
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Описание: In its fully revised 2nd edition, this book provides the background needed for a fundamental understanding of biophysics, spanning the whole range of life from a biophysical view, from the molecular, cellular and organismic level to environmental factors.


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