: The complexity classes PP; BPP and RP are usually defined via probabilistic Turing machines (PTMs) that have access to a perfect random source. A natural question is this: Do these classes change if the PTMs only have access to an arbitrary semi-random source rather than a perfect random source? The notion of semi-randomness are defined by Satha and Vazirani in 1984, and this question was first considered by Vazirani and Vazirani in 1985, who proved that RP does not change even if the PTMs only have access to an arbitrary semi-random source. Later, Vazirani proved that BPP does not change, either. In this paper, we show a surprising result that PP collapses to BPP if the PTMs only have access to an arbitrary semi-random source. We also co...
Randomness is widely accepted as a powerful computational resource because the most elegant and eff...
htmlabstractMany models in theoretical computer science allow for computations or representations wh...
In this dissertation we consider two different notions of randomness and their applications to probl...
Various types of probabilistic algorithms play an increasingly important role in computer science, e...
AbstractA source for a probabilistic machine is an infinite binary sequence which can be used in pla...
This paper studies how Kolmogorov complexity dictates the structure of standard deterministic and n...
We study here the classes of the form ALMOST-R, for R a reducibility. This includes among other the...
In this dissertation we consider two different notions of randomness and their applica-tions to prob...
The Random Oracle Hypothesis, attributed to Bennett and Gill, essentially states that the relationsh...
The complexity class BPP (defined by Gill) contains problems that can be solved in polynomial time w...
AbstractResource-boundedmeasure as originated by Lutz is an extension of classical measure theory wh...
This paper is motivated by a conjecture [1,5] that BPP can be characterized in terms of polynomial-t...
Threshold machines are Turing machines whose acceptance is determined by what portion of the machine...
Randomness can help to solve problems and is a fundamental ingredient and tool in modern com-plexity...
AbstractCircuit-size complexity is compared with deterministic and nondeterministic time complexity ...
Randomness is widely accepted as a powerful computational resource because the most elegant and eff...
htmlabstractMany models in theoretical computer science allow for computations or representations wh...
In this dissertation we consider two different notions of randomness and their applications to probl...
Various types of probabilistic algorithms play an increasingly important role in computer science, e...
AbstractA source for a probabilistic machine is an infinite binary sequence which can be used in pla...
This paper studies how Kolmogorov complexity dictates the structure of standard deterministic and n...
We study here the classes of the form ALMOST-R, for R a reducibility. This includes among other the...
In this dissertation we consider two different notions of randomness and their applica-tions to prob...
The Random Oracle Hypothesis, attributed to Bennett and Gill, essentially states that the relationsh...
The complexity class BPP (defined by Gill) contains problems that can be solved in polynomial time w...
AbstractResource-boundedmeasure as originated by Lutz is an extension of classical measure theory wh...
This paper is motivated by a conjecture [1,5] that BPP can be characterized in terms of polynomial-t...
Threshold machines are Turing machines whose acceptance is determined by what portion of the machine...
Randomness can help to solve problems and is a fundamental ingredient and tool in modern com-plexity...
AbstractCircuit-size complexity is compared with deterministic and nondeterministic time complexity ...
Randomness is widely accepted as a powerful computational resource because the most elegant and eff...
htmlabstractMany models in theoretical computer science allow for computations or representations wh...
In this dissertation we consider two different notions of randomness and their applications to probl...