Introduction to algorithms

Contributor(s): Cormen, Thomas H | Cormen, Thomas HMaterial type: TextTextPublication details: Cambridge, Mass. : MIT Press, c2001; New Delhi : Prentise-Hall of India 2001Edition: 2nd ed. (Indian Print)Description: xxi, 1180 p. cmISBN: 9788120321410; 8120321413Subject(s): Computer programming | Computer algorithmsDDC classification: 005.1
Contents:
The role of algorithms in computing -- Getting started -- Growth of functions -- Recurrences -- Probabilistic analysis and randomized algortihms -- Heapsort -- Quicksort -- Sorting in linear time -- Medians and order statistics -- Elementary data structures -- Hash Tables -- Binary Search trees -- Red-black trees -- Augmenting data structures -- Dynamic programming -- Greedy Algorithms -- Amortized analysis -- B-trees -- Binomial heaps -- Fibonacci heaps -- Data structures for disjoint sets -- Elementary graph algorithms -- Minimum spanning trees -- Single-source shortest paths -- All-pairs shortest paths -- Maximum flow -- Sorting networks -- Matrix operations-- Linear programming -- Polynomials and the FFT -- Number-theoretic algortihsm -- String matching-- Computational geometry -- NP-completeness -- approximation algorithms -- A. summations -- B. Sets, etc. -- C. Counting and probability.
Summary: The book covers a broad range of algorithms in depth, yet makes their design and analysis acessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor
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Rev. ed. of: Introduction to algorithms / Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest. c1990.

Original ISBN 0262032937

The role of algorithms in computing --
Getting started --
Growth of functions --
Recurrences --
Probabilistic analysis and randomized algortihms --
Heapsort --
Quicksort --
Sorting in linear time --
Medians and order statistics --
Elementary data structures --
Hash Tables --
Binary Search trees --
Red-black trees --
Augmenting data structures --
Dynamic programming --
Greedy Algorithms --
Amortized analysis --
B-trees --
Binomial heaps --
Fibonacci heaps --
Data structures for disjoint sets --
Elementary graph algorithms --
Minimum spanning trees --
Single-source shortest paths --
All-pairs shortest paths --
Maximum flow --
Sorting networks --
Matrix operations--
Linear programming --
Polynomials and the FFT --
Number-theoretic algortihsm --
String matching--
Computational geometry --
NP-completeness --
approximation algorithms --
A. summations --
B. Sets, etc. --
C. Counting and probability.

The book covers a broad range of algorithms in depth, yet makes their design and analysis acessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor

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