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.
Communication Complexity (for Algorithm Designers) collects the lecture notes from the author's eponymous course taught at Stanford in the winter quarter of 2015. The two primary goals of the text...
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...
The papers in this volume were presented at the Fourth Italian Conference on Algorithms and Complexity (CIAC 2000). The conference took place on March 1-3, 2000, in Rome (Italy), at the conference...
Computability and complexity theory are two central areas of research in theoretical computer science. This book provides a systematic, technical development of "algorithmic randomness" and...
This volume contains a collection of studies in the areas of complexity theory and local algorithms. A common theme in most of the papers is the interplay between randomness and computation. This...
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