April 2024
Intermediate to advanced
832 pages
29h 31m
English
Content preview from Design and Analysis of Algorithms
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Chptr 19
Rnze n A roxmt
Algts
Objectives
After reading this chapter, you should understand:
•
Ways to get around Intractability: Approximation, Randomness
•
The Motivation for Randomized algorithms with some examples
•
Randomized Complexity Classes
•
The two major classes of Randomized Algorithms
•
How to specify an Approximate Algorithm: Ratio Bound
•
NP-Hardness of an Approximate Solution: why certain problems are hard to
approximate
•
The Conditional Expectation Method: a deterministic solution
•
How to Analyse Approximation Algorithms through several examples like TSP,
GRAPH-3COLOUR
Chapter 19.indd 525Chapter 19.indd ...
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