1 Introduction Recently there has been exciting progress in our understanding of algorithmicrandomness for reals, its calibration, and its connection with classical measures of complexity such as degrees of unsolvability.In this paper, I will give a biased review of (some of) this progress
This thesis establishes results in several different areas of computability theory. The first chapt...
We compare various notions of algorithmic randomness. First we consider relativized randomness. A s...
International audienceThe study of robustness problems for computational geometry algorithms is a to...
This paper is a subjective, short overview of algorithmic information theory. We critically discuss ...
Random number generators are widely used in practical algorithms. Examples include simulation, numbe...
Random number generators are widely used in practical algorithms. Examples include simulation, numbe...
Algorithmic randomness uses computability theory to define notions of randomness for infinite object...
In this dissertation we investigate two questions in the subject of algorithmic randomness. The firs...
Schnorr randomness is a notion of algorithmic randomness for real numbers closely related to Martin-...
This paper offers some new results on randomness with respect to classes of measures, along with a d...
AbstractSchnorr randomness is a notion of algorithmic randomness for real numbers closely related to...
In this paper we give an introduction to the connection between complexity theory and the study of r...
By flipping a coin repeatedly and recording the result, we can create a sequence that intuitively is...
This review volume consists of an indispensable set of chapters written by leading scholars, scienti...
Is it possible to determine what randomness is let alone measure and classify it? Can random number ...
This thesis establishes results in several different areas of computability theory. The first chapt...
We compare various notions of algorithmic randomness. First we consider relativized randomness. A s...
International audienceThe study of robustness problems for computational geometry algorithms is a to...
This paper is a subjective, short overview of algorithmic information theory. We critically discuss ...
Random number generators are widely used in practical algorithms. Examples include simulation, numbe...
Random number generators are widely used in practical algorithms. Examples include simulation, numbe...
Algorithmic randomness uses computability theory to define notions of randomness for infinite object...
In this dissertation we investigate two questions in the subject of algorithmic randomness. The firs...
Schnorr randomness is a notion of algorithmic randomness for real numbers closely related to Martin-...
This paper offers some new results on randomness with respect to classes of measures, along with a d...
AbstractSchnorr randomness is a notion of algorithmic randomness for real numbers closely related to...
In this paper we give an introduction to the connection between complexity theory and the study of r...
By flipping a coin repeatedly and recording the result, we can create a sequence that intuitively is...
This review volume consists of an indispensable set of chapters written by leading scholars, scienti...
Is it possible to determine what randomness is let alone measure and classify it? Can random number ...
This thesis establishes results in several different areas of computability theory. The first chapt...
We compare various notions of algorithmic randomness. First we consider relativized randomness. A s...
International audienceThe study of robustness problems for computational geometry algorithms is a to...