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Algorithms and data structures for external memory

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Published by Published, sold, and distributed by now Publishers in Boston, MA .
Written in English

Subjects:

  • Disk access (Computer science),
  • Data structures (Computer science)

Book details:

Edition Notes

Other titlesFoundations and trends in theoretical computer science.
StatementJeffrey Scott Vitter
Classifications
LC ClassificationsQA76.9.D35 V57 2008
The Physical Object
Paginationxv, 174 p. :
Number of Pages174
ID Numbers
Open LibraryOL25551478M
ISBN 101601981066
ISBN 109781601981066
OCLC/WorldCa236050366

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In this book we discuss the state of the art in the design and analysis of external memory (or EM) algorithms and data structures, where the goal is to exploit locality in order to reduce the I/O costs. We consider a variety of EM paradigms Author: Jeffrey Scott Vitter. Algorithms and Data Structures for External Memory Jeffrey Scott Vitter 1 1 Department of Computer Science, Purdue University, West Lafayette, IN –, U.S.A., [email protected] Abstract Data sets in large applications are often too massive to fit completely in-side the computer’s internal memory. The resulting input/output com-. Algorithms and Data Structures for External Memory describes several useful paradigms for the design and implementation of efficient EM algorithms and data structures. The problem domains considered include sorting, permuting, FFT, scientific computing, computational geometry, graphs, databases, geographic information systems, and text and string : Jeffrey Scott Vitter. J. S. Vitter: External memory algorithms and data structures. In J. Abello and J. S. Vitter, editors, External Memory Algorithms, volume 50 of DIMACS Series on Discrete Mathematics and Theoretical Computer Science. American Mathematical Society, a. Google ScholarCited by:

In short, one of the best Algorithms book for any beginner programmer. It doesn’t cover all the data structure and algorithms but whatever it covers, it explains them well. That’s all about 10 Algorithm books every programmer should read. I agree that algorithms are a complex topic and its not easy to understand them in one reading, in that. In this paper we discuss a variety of online data structures for external memory, some very old and some very new, such as hashing (for dictionaries), B-trees (for dictionaries and 1-D range search), buffer trees (for batched dynamic problems), interval trees with weight-balanced B-trees (for stabbing queries). Chapter 11 Data Structures and Algorithms for External Storage Chapter 12 Memory Management This book presents the data structures and algorithms that underpin much of today's computer programming. The basis of this book is the material contained in the first six chapters of our earlier work, The Design and Analysis of Computer Algorithms. In this article we survey the state of the art in the design and analysis of external memory (or EM) algorithms and data structures, where the goal is to exploit locality in order to reduce the I/O costs. We consider a variety of EM paradigms for solving batched and online problems efficiently in external memory.

The book describes several useful paradigms for the design and implementation of efficient EM algorithms and data structures. The problem domains considered include sorting, permuting, FFT, scientific computing, computational geometry, graphs, databases, geographic information systems, and text and string processing.   Algorithms and Data Structures for External Memory describes several useful paradigms for the design and implementation of efficient EM algorithms and data structures. The problem domains considered include sorting, permuting, FFT, scientific computing, computational geometry, graphs, databases, geographic information systems, and text Author: Jeffrey Scott Vitter. Data Structures by Seymour Lipschutz and Introduction to Algorithms by Thomas H Cormen, Charles E Leiserson, Ronald L Rivest and Clifford Stein, are certainly the best books to learn Data Structures and Algorithms, both for beginners and professionals. And yes, bothe books serve the self study and self assessment purpose. Algorithms and Data Structures for External Memory surveys the state of the art in the design and analysis of external memory (or EM) algorithms and data structures, where the goal is to exploit locality in order to reduce the I/O costs. A variety of EM paradigms are considered for solving batched and online problems efficiently in external memory.