Algorithmic Aspects of Lipschitz Functions
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Publication:4979765
DOI10.3233/COM-14025zbMath1408.03031arXiv1402.2429OpenAlexW3102543632MaRDI QIDQ4979765
André Nies, Bjørn Kjos-Hanssen, Frank Stephan, Cameron E. Freer
Publication date: 19 June 2014
Published in: Computability (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1402.2429
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Randomness and differentiability ⋮ Randomness and Differentiability of Convex Functions ⋮ USING ALMOST-EVERYWHERE THEOREMS FROM ANALYSIS TO STUDY RANDOMNESS ⋮ A NOTE ON THE LEARNING-THEORETIC CHARACTERIZATIONS OF RANDOMNESS AND CONVERGENCE ⋮ Characterization of Kurtz randomness by a differentiation theorem ⋮ Lowness, Randomness, and Computable Analysis ⋮ Algorithmic randomness and Fourier analysis ⋮ Highness properties close to PA completeness ⋮ Computable Measure Theory and Algorithmic Randomness
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