Encyclopedia of Algorithms

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Release : 2008-08-06
Genre : Computers
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Book Rating : 702/5 ( reviews)

Encyclopedia of Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Encyclopedia of Algorithms write by Ming-Yang Kao. This book was released on 2008-08-06. Encyclopedia of Algorithms available in PDF, EPUB and Kindle. One of Springer’s renowned Major Reference Works, this awesome achievement provides a comprehensive set of solutions to important algorithmic problems for students and researchers interested in quickly locating useful information. This first edition of the reference focuses on high-impact solutions from the most recent decade, while later editions will widen the scope of the work. All entries have been written by experts, while links to Internet sites that outline their research work are provided. The entries have all been peer-reviewed. This defining reference is published both in print and on line.

Encyclopedia of Machine Learning

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Release : 2011-03-28
Genre : Computers
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Book Rating : 680/5 ( reviews)

Encyclopedia of Machine Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Encyclopedia of Machine Learning write by Claude Sammut. This book was released on 2011-03-28. Encyclopedia of Machine Learning available in PDF, EPUB and Kindle. This comprehensive encyclopedia, in A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of Machine Learning. Most of the entries in this preeminent work include useful literature references.

The Algorithm Design Manual

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Release : 2009-04-05
Genre : Computers
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Book Rating : 707/5 ( reviews)

The Algorithm Design Manual - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Algorithm Design Manual write by Steven S Skiena. This book was released on 2009-04-05. The Algorithm Design Manual available in PDF, EPUB and Kindle. This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography. NEW to the second edition: • Doubles the tutorial material and exercises over the first edition • Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video • Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them • Includes several NEW "war stories" relating experiences from real-world applications • Provides up-to-date links leading to the very best algorithm implementations available in C, C++, and Java

Encyclopedia of Optimization

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Release : 2008-09-04
Genre : Mathematics
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Book Rating : 583/5 ( reviews)

Encyclopedia of Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Encyclopedia of Optimization write by Christodoulos A. Floudas. This book was released on 2008-09-04. Encyclopedia of Optimization available in PDF, EPUB and Kindle. The goal of the Encyclopedia of Optimization is to introduce the reader to a complete set of topics that show the spectrum of research, the richness of ideas, and the breadth of applications that has come from this field. The second edition builds on the success of the former edition with more than 150 completely new entries, designed to ensure that the reference addresses recent areas where optimization theories and techniques have advanced. Particularly heavy attention resulted in health science and transportation, with entries such as "Algorithms for Genomics", "Optimization and Radiotherapy Treatment Design", and "Crew Scheduling".

Topics in Algorithmic Graph Theory

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Release : 2021-06-03
Genre : Mathematics
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Book Rating : 071/5 ( reviews)

Topics in Algorithmic Graph Theory - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Topics in Algorithmic Graph Theory write by Lowell W. Beineke. This book was released on 2021-06-03. Topics in Algorithmic Graph Theory available in PDF, EPUB and Kindle. Algorithmic graph theory has been expanding at an extremely rapid rate since the middle of the twentieth century, in parallel with the growth of computer science and the accompanying utilization of computers, where efficient algorithms have been a prime goal. This book presents material on developments on graph algorithms and related concepts that will be of value to both mathematicians and computer scientists, at a level suitable for graduate students, researchers and instructors. The fifteen expository chapters, written by acknowledged international experts on their subjects, focus on the application of algorithms to solve particular problems. All chapters were carefully edited to enhance readability and standardize the chapter structure as well as the terminology and notation. The editors provide basic background material in graph theory, and a chapter written by the book's Academic Consultant, Martin Charles Golumbic (University of Haifa, Israel), provides background material on algorithms as connected with graph theory.