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Introduction to the Design and Analysis of Algorithms

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ISBN-10: 0201743957

ISBN-13: 9780201743951

Edition: 2003

Authors: Anany V. Levitin

List price: $106.60
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This text introduces the reader to the design and analysis of algorithms and takes advantage of a new taxonomy of algorithm design techniques that has been developed by the book's author. Algorithm design techniques are treated broadly, as general problem solving tools.
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Book details

List price: $106.60
Copyright year: 2003
Publisher: Benjamin-Cummings Publishing Company
Publication date: 10/30/2002
Binding: Paperback
Pages: 528
Size: 7.50" wide x 9.00" long x 1.00" tall
Weight: 2.134

The notion of algorithm
Fundamentals of algorithmic problem solving
Important problem types
Fundamental data structures
Fundamentals of the Analysis of Algorithm Efficiency
Analysis framework
Asymptotic notations and standard efficiency classes
Mathematical analysis of nonrecursive algorithms
Mathematical analysis of recursive algorithms
Example: Fibonacci numbers
Empirical analysis of algorithms
Algorithm visualization
Brute Force
Selection sort and bubble sort
Sequential search and brute-force string matching
The closest-pair and convex-hull problems by brute force
Exhaustive search
Binary search
Binary tree traversals and related properties
Multiplication of large integers and Strassen's matrix multiplication
Closest-pair and convex-hull problems by divide-and-conquer
Insertion sort
Depth-first search and breadth-first search
Topological sorting
Algorithms for generating combinatorial objects
Decrease-by-a-constant-factor algorithms
Variable-size-decrease algorithms
Gaussian elimination
Balanced search trees
Heaps and heapsort
Horner's rule and binary exponentiation
Problem reduction
Space and Time Tradeoffs
Sorting by counting
Horspool's and Boyer-Moore algorithms for string matching
Dynamic Programming
Computing a binomial coefficient
Shortest-path problems
Warshall's and Floyd's algorithms
Optimal binary search trees
The knapsack problem and memory functions
Greedy Technique
Prim's algorithm
Kruskal's algorithm
Dijkstra's algorithm
Huffman trees
Limitations of Algorithm Power
Lower-bound arguments
Decision trees
P, NP, and NP-complete problems
Challenges of numerical algorithms
Coping with the Limitations of Algorithm Power
Approximation algorithms for NP-hard problems
Algorithms for solving nonlinear equations
Useful Formulas for the Analysis of Algorithms
Short Tutorial on Recurrence Relations
Hints to Exercises