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Introduction to the Design & Analysis of Algorithms

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Oggetto che si trova a: Haltom City, Texas, Stati Uniti
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Numero oggetto eBay:156768785988
Ultimo aggiornamento: 02 mag 2025 17:34:33 CESTVedi tutte le revisioniVedi tutte le revisioni

Specifiche dell'oggetto

Condizione
Buone condizioni: Libro che è già stato letto ma è in buone condizioni. Mostra piccolissimi danni ...
Release Year
2002
Book Title
Introduction to the Design & Analysis of Algorithms
ISBN
9780201743951

Informazioni su questo prodotto

Product Identifiers

Publisher
Benjamin-Cummings Publishing Company
ISBN-10
0201743957
ISBN-13
9780201743951
eBay Product ID (ePID)
2254287

Product Key Features

Number of Pages
528 Pages
Publication Name
Introduction to the Design and Analysis of Algorithms
Language
English
Subject
Programming / Algorithms
Publication Year
2002
Type
Textbook
Subject Area
Computers
Author
Anany V. Levitin
Format
Trade Paperback

Dimensions

Item Height
1.1 in
Item Weight
34.2 Oz
Item Length
9.3 in
Item Width
7.6 in

Additional Product Features

Intended Audience
College Audience
LCCN
2002-027987
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
005.1
Table Of Content
( Each chapter ends with a "Summary". ) Preface. 1. Introduction. The notion of algorithm.Fundamentals of algorithmic problem solving.Important problem types.Fundamental data structures. 2. 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. 3. 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. 4. Divide-and-Conquer. Mergesort.Quicksort.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. 5. Decrease-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. 6. Transform-and-conquer. Presorting.Gaussian elimination.Balanced search trees.Heaps and heapsort.Horner's rule and binary exponentiation.Problem reduction. 7. Space and Time Tradeoffs. Sorting by counting.Horspool's and Boyer-Moore algorithms for string matching.Hashing.B-trees. 8. 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. 9. Greedy Technique. Prim's algorithm.Kruskal's algorithm.Dijkstra's algorithm.Huffman trees. 10. Limitations of Algorithm Power. Lower-bound arguments.Decision trees. P , NP , and NP -complete problems.Challenges of numerical algorithms. 11. Coping with the Limitations of Algorithm Power. Backtracking.Branch-and-bound.Approximation algorithms for NP -hard problems.Algorithms for solving nonlinear equations. Epilogue. Appendix A: Useful Formulas for the Analysis of Algorithms. Appendix B: Short Tutorial on Recurrence Relations. Bibliography. Hints to Exercises. Index.
Synopsis
This text introduces the reader to the design and analysis of algorithms. It teaches broad problem-solving skills alongside an introduction to algorithms. The author achieves this by using three unique features: a table of contents that is based on a more effective taxonomy of algorithm design techniques; a style of presentation that emphasizes understanding over excessively formal treatment; and extensive use of puzzles and exercises that motivate the presentation of the material., Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, Introduction to the Design and Analysis of Algorithms presents the subject in a truly innovative manner. Written in a student-friendly style, the book encourages broad problem-solving skills while thoroughly covering the material required in an introductory algorithms course. The author emphasizes conceptual understanding before the introduction of the formal treatment of each technique. Popular puzzles are used to motivate students' interest and strengthen their skills in algorithmic problem solving. Other learning-enhancement features include chapter summaries, hints to the exercises, and a solution manual.
LC Classification Number
QA76.9.A43L48 2003

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