Algorithm and Design Complexity
Computational complexity is critical in analysis of algorithms and is important to be able to select algorithms for efficiency and solvability. Algorithm and Design Complexity initiates with discussion of algorithm analysis, time-space trade-off, symptotic notations, and so forth. It further includes algorithms that are definite and effective, known as computational procedures. Further topics explored include divide-and-conquer, dynamic programming, and backtracking.

Features:

  • Includes complete coverage of basics and design of algorithms
  • Discusses algorithm analysis techniques like divide-and-conquer, dynamic programming, and greedy heuristics
  • Provides time and space complexity tutorials
  • Reviews combinatorial optimization of Knapsack problem
  • Simplifies recurrence relation for time complexity

This book is aimed at graduate students and researchers in computers science, information technology, and electrical engineering.

1142551882
Algorithm and Design Complexity
Computational complexity is critical in analysis of algorithms and is important to be able to select algorithms for efficiency and solvability. Algorithm and Design Complexity initiates with discussion of algorithm analysis, time-space trade-off, symptotic notations, and so forth. It further includes algorithms that are definite and effective, known as computational procedures. Further topics explored include divide-and-conquer, dynamic programming, and backtracking.

Features:

  • Includes complete coverage of basics and design of algorithms
  • Discusses algorithm analysis techniques like divide-and-conquer, dynamic programming, and greedy heuristics
  • Provides time and space complexity tutorials
  • Reviews combinatorial optimization of Knapsack problem
  • Simplifies recurrence relation for time complexity

This book is aimed at graduate students and researchers in computers science, information technology, and electrical engineering.

61.99 In Stock
Algorithm and Design Complexity

Algorithm and Design Complexity

Algorithm and Design Complexity

Algorithm and Design Complexity

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Overview

Computational complexity is critical in analysis of algorithms and is important to be able to select algorithms for efficiency and solvability. Algorithm and Design Complexity initiates with discussion of algorithm analysis, time-space trade-off, symptotic notations, and so forth. It further includes algorithms that are definite and effective, known as computational procedures. Further topics explored include divide-and-conquer, dynamic programming, and backtracking.

Features:

  • Includes complete coverage of basics and design of algorithms
  • Discusses algorithm analysis techniques like divide-and-conquer, dynamic programming, and greedy heuristics
  • Provides time and space complexity tutorials
  • Reviews combinatorial optimization of Knapsack problem
  • Simplifies recurrence relation for time complexity

This book is aimed at graduate students and researchers in computers science, information technology, and electrical engineering.


Product Details

ISBN-13: 9781032409351
Publisher: CRC Press
Publication date: 12/19/2024
Pages: 196
Product dimensions: 6.12(w) x 9.19(h) x (d)

About the Author

Anli Sherine, S. Albert Alexander

Table of Contents

1. Algorithm Analysis. 2. Divide and Conquer. 3. Dynamic programming. 4. Backtracking. 5. Graph.
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