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Introduction to the Design and Analysis of Algorithms
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Table of Contents

  • 1 Introduction
  • 2 Fundamentals of the Analysis of Algorithm Efficiency
  • 3 Brute Force and Exhaustive Search
  • 4 Decrease-and-Conquer
  • 5 Divide-and-Conquer
  • 6 Transform-and-Conquer
  • 7 Space and Time Trade-Offs
  • 8 Dynamic Programming
  • 9 Greedy Technique
  • 10 Iterative Improvement
  • 11 Limitations of Algorithm Power
  • 12 Coping with the Limitations of Algorithm Power

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