English | 2023 | ISBN: 9781003355403 | 196 pages | True PDF | 5.88 MB

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, -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 and space complexity tutorials

Reviews combinatorial optimization of Knapsack problem

Simplifies recurrence relation for complexity

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