A randomized algorithm makes random choices during its execution. The behavior of such an algorithm may thus be random even on a fixed input. The process of designing and analyzing a randomized algorithm focuses on establishing that it is likely to behave “well” on every input. - (c) Motwani and Raghavan, Probabilistic Methods for Algorithmic Discrete Mathematics: Algorithms and Combinatorics " An Overview of Randomized Algorithms", pp 93-115.
A randomized
Question 1:
Define and cite examples fo the following under randomized algorithms:
1. Bipartite Graph
2. Polynomial Identity
3. Random Choice
4. Deterministic Algorithm
5. Monte Carlo Algorithm
6. Miller-Rabin primality test
7. Randomized Quicksort
7. Linearity of Expectations
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