Computational depth: Concept and applications
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Publication:2368976
DOI10.1016/j.tcs.2005.11.033zbMath1088.68073OpenAlexW2072053479MaRDI QIDQ2368976
N. V. Vinodchandran, Dieter van Melkebeek, Luís Antunes, Lance J. Fortnow
Publication date: 28 April 2006
Published in: Theoretical Computer Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.tcs.2005.11.033
Related Items (19)
Sophistication revisited ⋮ Quantum logical depth and shallowness of streaming data by one-way quantum finite-state transducers (preliminary report) ⋮ Lowness and logical depth ⋮ Depth, Highness and DNR Degrees ⋮ Pushdown and Lempel-Ziv depth ⋮ Kolmogorov's Last Discovery? (Kolmogorov and Algorithmic Statistics) ⋮ Algorithmic Statistics: Forty Years Later ⋮ Low-depth witnesses are easy to find ⋮ On the Difference Between Finite-State and Pushdown Depth ⋮ Ker-I Ko and the Study of Resource-Bounded Kolmogorov Complexity ⋮ On the Polynomial Depth of Various Sets of Random Strings ⋮ Sophistication vs logical depth ⋮ Information measures for infinite sequences ⋮ Time-bounded incompressibility of compressible strings and sequences ⋮ Searching for shortest and least programs ⋮ Depth as randomness deficiency ⋮ Algorithmic Statistics Revisited ⋮ Polylog depth, highness and lowness for E ⋮ Two Problems for Sophistication
Cites Work
- On the theory of average case complexity
- Average case complexity under the universal distribution equals worst- case complexity
- Hardness vs randomness
- On resource-bounded instance complexity
- Average Case Complete Problems
- Randomness conservation inequalities; information and independence in mathematical theories
- Relative to a Random OracleA, ${\bf P}^A \ne {\bf NP}^A \ne \text{co-}{\bf NP}^A $ with Probability 1
- The Complexity of Malign Measures
- Resource-bounded kolmogorov complexity revisited
- Fundamentals of Computation Theory
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