Optimal quantization for a probability measure on a nonuniform stretched Sierpi\'nski triangle
Abstract
Quantization for a Borel probability measure refers to the idea of estimating a given probability by a discrete probability with support containing a finite number of elements. In this paper, we have considered a Borel probability measure P on R2, which has support a nonuniform stretched Sierpi\'nski triangle generated by a set of three contractive similarity mappings on R2. For this probability measure, we investigate the optimal sets of n-means and the nth quantization errors for all positive integers n.
Turn this paper into a full lesson
ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.