Algorithm and Design Complexity
Seiten
2023
CRC Press (Verlag)
978-1-032-40932-0 (ISBN)
CRC Press (Verlag)
978-1-032-40932-0 (ISBN)
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.
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.
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.
Anli Sherine, S. Albert Alexander
1. Algorithm Analysis. 2. Divide and Conquer. 3. Dynamic programming. 4. Backtracking. 5. Graph.
Erscheinungsdatum | 17.04.2023 |
---|---|
Zusatzinfo | 2 Tables, black and white; 72 Line drawings, black and white; 72 Illustrations, black and white |
Verlagsort | London |
Sprache | englisch |
Maße | 156 x 234 mm |
Gewicht | 394 g |
Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
ISBN-10 | 1-032-40932-0 / 1032409320 |
ISBN-13 | 978-1-032-40932-0 / 9781032409320 |
Zustand | Neuware |
Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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