AbstractThis paper introduces nondeterministic space-bounded Kolmogorov complexity, and we show that it has some nice properties not shared by some other resource-bounded notions of K-complexity.P-printable sets were defined by Hartmanis and Yesha and have been investigated by several researchers. The analogous notion of L-printable sets was defined by Fortnow et al; both P-printability and L-printability were shown to be related to notions of resource-bounded Kolmogorov complexity. NL-printability was defined by Jenner and Kirsig, but some basic questions regarding this notion were left open. In this paper we answer a question of Jenner and Kirsig by providing a machine-based characterization of the NL-printable sets
This paper uses the technique of generalized spectra and expressibility of complexity classes in log...
This paper is motivated by a conjecture \cite{cie,adfht} that $\BPP$ can be characterized in terms o...
Space complexity investigates the power and limitations of a computational model (e.g. a Turing mach...
AbstractP-printable sets were defined by Hartmanis and Yesha and have been investigated by several r...
AbstractThis paper introduces nondeterministic space-bounded Kolmogorov complexity, and we show that...
P-printable sets were dened by Hartmanis and Yesha and have been investigated by several researchers...
AbstractWe continue an investigation into resource-bounded Kolmogorov complexity (Allender et al., 2...
Although tally sets are generally considered to be weak when used as oracles, it is shown here that ...
The resource bounded Kolmogorov complexity classes identify finite strings (and by extension infini...
AbstractThis paper completely characterizes the Θkp levels of the polynomial hierarchy in terms of K...
We introduce randomized time-bounded Kolmogorov complexity (rKt), a natural extension of Levin\u27s ...
International audienceIn computability theory and computable analysis, finite programs can compute i...
We introduce randomized time-bounded Kolmogorov complexity (rKt), a natural extension of Levin's not...
AbstractThis paper contains further study of the randomness properties of languages. The connection ...
Using Kolmogorov-complexity, we obtain the following new lower bounds. For on-line nondeterministic ...
This paper uses the technique of generalized spectra and expressibility of complexity classes in log...
This paper is motivated by a conjecture \cite{cie,adfht} that $\BPP$ can be characterized in terms o...
Space complexity investigates the power and limitations of a computational model (e.g. a Turing mach...
AbstractP-printable sets were defined by Hartmanis and Yesha and have been investigated by several r...
AbstractThis paper introduces nondeterministic space-bounded Kolmogorov complexity, and we show that...
P-printable sets were dened by Hartmanis and Yesha and have been investigated by several researchers...
AbstractWe continue an investigation into resource-bounded Kolmogorov complexity (Allender et al., 2...
Although tally sets are generally considered to be weak when used as oracles, it is shown here that ...
The resource bounded Kolmogorov complexity classes identify finite strings (and by extension infini...
AbstractThis paper completely characterizes the Θkp levels of the polynomial hierarchy in terms of K...
We introduce randomized time-bounded Kolmogorov complexity (rKt), a natural extension of Levin\u27s ...
International audienceIn computability theory and computable analysis, finite programs can compute i...
We introduce randomized time-bounded Kolmogorov complexity (rKt), a natural extension of Levin's not...
AbstractThis paper contains further study of the randomness properties of languages. The connection ...
Using Kolmogorov-complexity, we obtain the following new lower bounds. For on-line nondeterministic ...
This paper uses the technique of generalized spectra and expressibility of complexity classes in log...
This paper is motivated by a conjecture \cite{cie,adfht} that $\BPP$ can be characterized in terms o...
Space complexity investigates the power and limitations of a computational model (e.g. a Turing mach...