Introduction to Algorithms(English, Hardcover, Cormen Thomas H.)

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Introduction to Algorithms(English, Hardcover, Cormen Thomas H.)

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Introduction to Algorithms is a comprehensive book for undergraduate and postgraduate students of data structures and algorithms. The book can also be used for self-study by educators, researchers and professionals. The book comprises chapters with algorithms explained in depth. The algorithms are described in English and in a pseudocode, which makes it very easy for the readers to understand. In addition, the explanations are very brief and precise. There are additional chapters on the role of algorithms, linear programming, and probabilistic analysis. This book is essential for anyone who wants to learn about algorithms especially data structure and programming students. About Thomas H. Cormen Thomas H. Cormen completed his graduation in Electrical Engineering and Computer Science from Princeton University, post which he went to MIT for his postgraduation. He also has a PhD with a thesis on Virtual Memory for Data-Parallel Computing.

Introduction to Algorithms(English, Hardcover, Cormen Thomas H.)Specifications:

Book Details
Table of Contents

I Foundations
Introduction
1 The Role of Algorithms in Computing
2 Getting Started
3 Growth of Functions
4 Divide-and-Conquer
5 Probabilistic Analysis and Randomized Algorithms
II Sorting and Order Statistics
Introduction
6 Heapsort
7 Quicksort
8 Sorting in Linear Time
9 Medians and Order Statistics
III Data Structures
Introduction
10 Elementary Data Structures
11 Hash Tables
12 Binary Search Trees
13 Red-Black Trees
14 Augmenting Data Structures
IV Advanced Design and Analysis Techniques
Introduction
15 Dynamic Programming
16 Greedy Algorithms
17 Amortized Analysis
V Advanced Data Structures
Introduction
18 B-Trees
19 Fibonacci Heaps
20 Van Emde Boas Trees
21 Data Structures for Disjoint Sets
VI Graph Algorithms
Introduction
22 Elementary Graph Algorithms
23 Minimum Spanning Trees
24 Single-Source Shortest Paths
25 All-Pairs Shortest Paths
26 Maximum Flow
VII Selected Topics
Introduction
27 Multithreaded Algorithms
28 Matrix Operations
29 Linear Programming
30 Polynomials and the FFT
31 Number-Theoretic Algorithms
32 String Matching
33 Computational Geometry
34 NP-Completeness
35 Approximation Algorithms
VIII Appendix: Mathematical Background
Introduction
A Summations
B Sets, Etc.
C Counting and Probability
D Matrices
Bibliography
Index

Dimensions
Width 2.06 in
Height 9.08
Length 8.18 in
Weight 2204 g
General
Language English
Binding Hardcover
Publisher Mit Pr
Genre Computers
ISBN 9780262033848, 0262033844
Edition 3rd Edition

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