Algorithms and Complexity

PUBLISHED


Viewing: 1 - 10 of 123
Published:
April 01, 2014
Author(s):
David D. Riley, Kenny A. Hunt
Through examples and analogies, Computational Thinking for the Modern Problem Solver introduces computational thinking as part of an introductory computing course and shows how computer science concepts are applicable to other fields. It keeps the material accessible and relevant to noncomputer 
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$79.95
Hardback
Published:
March 15, 2014
Author(s):
Bradley S. Tice
This book examines the use of algorithmic techniques to compress random and non-random sequential strings found in chains of polymers. The book is an introduction to algorithmic complexity. Examples taken from current research in the polymer sciences will be used for ‘compression’ of like natured 
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$149.95
Hardback
Published:
February 07, 2014
Editor(s):
Robert Stocker, Terry Bossomaier
This book covers technical fundamentals, complexity and social networks, and communication and language. It raises readers’ interest in social networks, the importance of language in the emergence and maintenance of networks, the integral patterns of interconnectivity, and the means to measure and 
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$99.95
Hardback
Published:
December 19, 2013
Author(s):
R. Stuart Ferguson
Practical Algorithms for 3D Computer Graphics, Second Edition covers the fundamental algorithms that are the core of all 3D computer graphics software packages. Using Core OpenGL and OpenGL ES, the book enables you to create a complete suite of programs for 3D computer animation, modeling, and 
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$79.95
Paperback
Published:
December 17, 2013
Editor(s):
Jonathan L. Gross, Jay Yellen, Ping Zhang
In the ten years since the publication of the best-selling first edition, more than 1,000 graph theory papers have been published each year. Reflecting these advances, Handbook of Graph Theory, Second Edition provides comprehensive coverage of the main topics in pure and applied graph theory. This 
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$139.95
Hardback
Published:
December 14, 2013
Author(s):
Arvind Kumar Bansal
In programming courses, using the different syntax of multiple languages, such as C++, Java, PHP, and Python, for the same abstraction often confuses students new to computer science. Introduction to Programming Languages separates programming language concepts from the restraints of multiple 
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$79.95
Paperback
Published:
December 12, 2013
Editor(s):
Sanguthevar Rajasekaran, Lance Fiondella, Mohamed Ahmed, Reda A. Ammar
Every area of science and engineering today has to process voluminous data sets. Using exact, or even approximate, algorithms to solve intractable problems in critical areas, such as computational biology, takes time that is exponential in some of the underlying parameters. Parallel computing 
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$139.95
Hardback
Published:
November 18, 2013
Author(s):
Mark J. Johnson
A student-friendly text, A Concise Introduction to Data Structures Using Java takes a developmental approach, starting with simpler concepts first and then building toward greater complexity. Important topics, such as linked lists, are introduced gradually and revisited with increasing depth. More 
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$59.95
Paperback
Published:
November 14, 2013
Author(s):
Epaminondas Kapetanios, Doina Tatar, Christian Sacarea
This book introduces the semantic aspects of natural language processing and its applications. Topics covered include: measuring word meaning similarity, multi-lingual querying, and parametric theory, named entity recognition, semantics, query language, and the nature of language. The book also 
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$129.95
Hardback
Published:
September 10, 2013
Author(s):
Kalyan S. Perumalla
Few books comprehensively cover the software and programming aspects of reversible computing. Filling this gap, Introduction to Reversible Computing offers an expanded view of the field that includes the traditional energy-motivated hardware viewpoint as well as the emerging application-motivated 
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$89.95
Hardback

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Data Mining "Nobel Prize" Awarded to Series Editor Vipin Kumar

The ACM SIGKDD 2012 Innovation Award, the highest award for technical excellence in the field of Knowledge Discovery and Data Mining (KDD), has been awarded to Prof. Vipin Kumar for his technical contributions to foundational research in data mining and its applications to mining scientific and climate data. Prof. Kumar is the editor of the Chapman & Hall/CRC Data Mining and Knowledge Discovery Series. He has pioneered research in the areas of high performance and parallel data mining. His research group has also been at the forefront in the development of data-driven discovery methods for analyzing global climate and ecosystem data.

 

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