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Book Freeshipping Introduction To The Design And Analysis Of Algorithms Second Edition

Posted at: Offers to Sell and Export | Posted on: Wed 19 May, 2010 8:49 am | Product Category: Leisure reading books [501]
book freeshipping analysis algorithms second edition
Products Photos CatalogBook Freeshipping Photos Catalog

Introduction to the Design and Analysis of Algorithms (Second Edition) (Photo-engraving Edition), by

Anany Levitin, English, Paperback, 2007

Product Details

Author Anany Levitin

Press Tsinghua University Press

Isbn 9787302164029

Publication Date Nov 2007

Pages 559

Size 16K

Edition First

Cover Paperback

Language English

Page material gelatine plate paper

Product Description:

Based on rich teaching experience, the author develops a new classification method of Algorithms. This method can accurately classifies most of the existing algorithm, thus the readers can explore Algorithm design and analysis with a clear, consistent and coherent idea.


Anany Levitin is a professor of Computer Science Department of Villanova. His thesis “A New Road Map of Algorithm Design Techniques:Picking Up Where the Traditional Classification Leaves Off” receives high appreciation of the professionals in the same field. In the SIGCSE meetings, the author has made speeches several times.



1 Introduction

 1.1 What is an Algorithm?

 Exercises 1.1

 1.2 Fundamentals of Algorithmic Problem Solving

  Understanding the Problem

  Ascertaining the Capabilities of a Computational Device

  Choosing between Exact and Approximate Problem Solving

  Deciding on Appropriate Data Structures

  Algorithm Design Techniques

  Methods of Specifying an Algorithm

  Proving an Algorithm's Correctness

  Analyzing an Algorithm

  Coding an Algorithm

  Exercises 1.2

 1.3 Important Problem Types



  String Processing

  Graph Problems

  Combinatorial Problems

  Geometric Problems

  Numerical Problems

  Exercises 1.3

 1.4 Fundamental Data Structures

  Linear Data Structures



  Sets and Dictionaries

  Exercises 1.4


2 Fundamentals of the Analysis of Algorithm Efficiency

 2.1 Analysis Framework

  Measuring an Input's Size

  Units for Measuring Running -[]me

  Orders of Growth

  Worst-Case, Best-Case, and Average-Case Efficlencies

  Recapitulation of the Analysis Framework

  Exercises 2.1

 2.2 Asymptotic Notations and Basic Efficiency Classes

  Informal Introduction




  Useful Property Involving the Asymptotic Notations

  Using Limits for Comparing Orders of Growth

  Basic Efficiency Classes

  Exercises 2.2

  2.3 Mathematical Analysis of Nonrecursive Algorithms

  Exercises 2.3

  2.4 Mathematical Analysis of Recursive Algorithms

  Exercises 2.4

  2.5 Example: Fibonacci Numbers

  Explicit Formula for the nth Fibonacci Number

  Algorithms for Computing Fibonacci Numbers

  Exercises 2.5

3 Brute Force

4 Divide-and-Conquer

5 Decrease-and-Conquer

6 Transform-and-Conquer

7 Space and lime Tradeoffs

8 Dynamic Programming

9 Greedy Technique

10 Iterative Improvement

11 Limitations of Algorithm Power

12 Coping with the Limitations of Algorithm Power


Appendix a

Useful Formulas for the Analysis of Algorithms

Appendix b

Short Tutorial on Recurrence Relations


Hints to Exercises


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