Increasing the Output Length of Zero-Error Dispersers
From MaRDI portal
Publication:3541810
DOI10.1007/978-3-540-85363-3_34zbMath1159.68640OpenAlexW2161285947MaRDI QIDQ3541810
Publication date: 27 November 2008
Published in: Lecture Notes in Computer Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-540-85363-3_34
Probability distributions: general theory (60E05) Generalized Ramsey theory (05C55) Data structures (68P05) Randomized algorithms (68W20)
Related Items (3)
An Introduction to Randomness Extractors ⋮ Improving the Hadamard extractor ⋮ Two-Source Dispersers for Polylogarithmic Entropy and Improved Ramsey Graphs
Cites Work
- Unnamed Item
- Unnamed Item
- Extractors and rank extractors for polynomial sources
- On the construction of affine extractors
- Generating quasi-random sequences from semi-random sources
- Strong communication complexity or generating quasi-random sequences from two communicating semi-random sources
- Independent unbiased coin flips from a correlated biased source - a finite state Markov chain
- On the complexity of approximating the VC dimension.
- Randomness is linear in space
- Deterministic extractors for affine sources over large fields
- Extractors for a constant number of polynomially small min-entropy independent sources
- 2-source dispersers for sub-polynomial entropy and Ramsey graphs beating the Frankl-Wilson construction
- A Sample of Samplers: A Computational Perspective on Sampling
- Unbalanced expanders and randomness extractors from Parvaresh--Vardy codes
- How to get more mileage from randomness extractors
- Extractors
- Extractors with weak random seeds
- Unbiased Bits from Sources of Weak Randomness and Probabilistic Communication Complexity
- Should Tables Be Sorted?
- Implicit $O(1)$ Probe Search
- Bounds for Dispersers, Extractors, and Depth-Two Superconcentrators
- Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques
- MORE ON THE SUM-PRODUCT PHENOMENON IN PRIME FIELDS AND ITS APPLICATIONS
- Deterministic Extractors for Bit‐Fixing Sources and Exposure‐Resilient Cryptography
- Deterministic Extractors for Bit‐Fixing Sources by Obtaining an Independent Seed
- Extracting Randomness Using Few Independent Sources
- Deterministic extractors for small-space sources
- Simulating independence
This page was built for publication: Increasing the Output Length of Zero-Error Dispersers