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Introduction to algorithms
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Introduction to algorithms

Author: Thomas H Cormen; et al
Publisher: Cambridge, Mass. : MIT Press, ©2009.
Edition/Format:   Book : English : 3rd edView all editions and formats
Summary:
This edition has been revised and updated throughout. It includes some new chapters. It features improved treatment of dynamic programming and greedy algorithms as well as a new notion of edge-based flow in the material on flow networks.--[book cover]
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Details

Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Thomas H Cormen; et al
ISBN: 9780262033848 0262033844 9780262533058 0262533057
OCLC Number: 311310321
Description: xix, 1292 p. : ill. ; 24 cm.
Contents: I. Foundations. The role of algorithms in computing --
Getting started --
Growth of functions --
Divide-and-conquer --
Probabilistic analysis and randomized algorithms --
II. Sorting and order statistics. Heapsort --
Quicksort --
Sorting in linear time --
Medians and order statistics --
III. Data structures. Elementary data structures --
Hash tables --
Binary search trees --
Red-black trees --
Augmenting data structures --
IV. Advanced design and analysis techniques. Dynamic programming --
Greedy algorithms --
Amortized analysis --
V. Advanced data structures. B-trees --
Fibonacci heaps --
van Emde Boas trees --
Data structures for disjoint sets --
VI. Graph algorithms. Elementary graph algorithms --
Minimum spanning trees --
Single-source shortest paths --
All-pairs shortest paths --
Maximun flow --
VII. Selected topics. Multithreaded algorithms --
Matrix operations --
Linear programming --
Polynomials and the FFT --
Number-theoretic algorithms --
String matching --
Computational geometry --
NP-completeness --
Approximation algorithms --
VIII. Appendix: Mathematical background. Summations --
Sets, etc. --
Counting and probability --
Matrices.
Responsibility: Thomas H. Cormen ... [et al.].
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Abstract:

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.  Read more...

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"In light of the explosive growth in the amount of data and the diversity of computing applications, efficient algorithms are needed now more than ever. This beautifully written, thoughtfully Read more...

 
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