Easiness Assumptions and Hardness Tests : Trading Time for Zero
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Easiness Assumptions and Hardness Tests : Trading Time for Zero
We propose a new approach towards derandomization in the uniform setting, where it is computationally hard to nd possible mistakes in the simulation of a given probabilistic algorithm. The approach consists in combining both easiness and hardness complexity assumptions: if a derandomization method based on an easiness assumption fails, then we obtain a certain hardness test that can be used to ...
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We propose a new approach towards derandomization in the uniform setting, where it is computationally hard to find possible mistakes in the simulation of a given probabilistic algorithm. The approach consists in combining both easiness and hardness complexity assumptions: if a derandomization method based on an easiness assumption fails, then we obtain a certain hardness test that can be used t...
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