On the optimal Voronoi partitions for Ahlfors-David measures with respect to the geometric mean error
From MaRDI portal
Publication:1998718
DOI10.1016/j.jmaa.2020.124897zbMath1459.60024arXiv2006.13437OpenAlexW3118112987MaRDI QIDQ1998718
Publication date: 8 March 2021
Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2006.13437
Geometric probability and stochastic geometry (60D05) Length, area, volume, other geometric measure theory (28A75)
Related Items (2)
Quantization dimensions of compactly supported probability measures via Rényi dimensions ⋮ Unnamed Item
Cites Work
- Unnamed Item
- Unnamed Item
- On the quantization for self-affine measures on Bedford-McMullen carpets
- Asymptotic optimality of scalar Gersho quantizers
- The local quantization behavior of absolutely continuous probabilities
- A space quantization method for numerical integration
- Optimum quantization and its applications
- Foundations of quantization for probability distributions
- Asymptotic uniformity of the quantization error for the Ahlfors-David probability measures
- A characterization of the optimal sets for self-similar measures with respect to the geometric mean error
- Quantization dimension for condensation systems
- Some Recent Developments in Quantization of Fractal Measures
- The quantization error of self-similar distributions
- Multidimensional asymptotic quantization theory with<tex>r</tex>th power distortion measures
- Asymptotically optimal block quantization
- Quantization
- Quantization for probability measures with respect to the geometric mean error
- Distortion mismatch in the quantization of probability measures
This page was built for publication: On the optimal Voronoi partitions for Ahlfors-David measures with respect to the geometric mean error