Randomized algorithms as zero-sum games

Randomized algorithms are algorithms that employ a degree of randomness as part of their logic. These algorithms can be used to give good average-case results (complexity-wise) to problems which are hard to solve deterministically, or display poor worst-case complexity. An algorithmic game theoretic approach can help explain why in the average case randomized algorithms may work better than deterministic algorithms.

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enRandomized algorithms are algorithms that employ a degree of randomness as part of their logic. These algorithms can be used to give good average-case results (complexity-wise) to problems which are hard to solve deterministically, or display poor worst-case complexity. An algorithmic game theoretic approach can help explain why in the average case randomized algorithms may work better than deterministic algorithms.
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enRandomized algorithms are algorithms that employ a degree of randomness as part of their logic. These algorithms can be used to give good average-case results (complexity-wise) to problems which are hard to solve deterministically, or display poor worst-case complexity. An algorithmic game theoretic approach can help explain why in the average case randomized algorithms may work better than deterministic algorithms.
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Algorithms
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Randomized algorithms as zero-sum games
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enRandomized algorithms as zero-sum games
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Average case complexity
Category:Non-cooperative games
Category:Randomized algorithms
Complexity analysis
Deterministic algorithm
Expected value
Game theory
John von Neumann
Minimax
Mixed strategy
Probability distribution
Quick sort
Randomized algorithm
Randomized algorithms
Strategy (game theory)
Worst-case
Yao's principle
Zero-sum game
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4tvmR
m.0b6g3n
Q7292008
Randomized algorithms as zero-sum games
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Category:Non-cooperative games
Category:Randomized algorithms
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