
TL;DR
This paper extends the theory of greedy bases by introducing a general weight framework, characterizing $oldsymbol{ ext{omega}}$-(almost) greedy bases, and establishing new equivalences and distinctions among these classes.
Contribution
It introduces a general weight scheme for greedy algorithms, characterizes $oldsymbol{ ext{omega}}$-(almost) greedy bases, and proves new equivalences and separations in the weighted greedy basis theory.
Findings
Existence of an $oldsymbol{ ext{omega}}$-greedy unconditional basis not $oldsymbol{ ext{varsigma}}$-almost greedy for any sequence.
Equivalence between $oldsymbol{ ext{omega}}$-semi-greedy and $oldsymbol{ ext{omega}}$-almost greedy bases under structured weights.
Extension of known equivalences from sequential to structured weights.
Abstract
In this paper, we study weights for the Thresholding Greedy Algorithm (TGA). While previous work focused on sequential weights on each positive integer, we study a more general weight on each set . We define and characterize -(almost) greedy bases. Furthermore, we leverage existing results to show that there exists an -greedy unconditional basis that is not -almost greedy for any weight sequence . Last but not least, we show the equivalence between -semi-greedy bases and -almost greedy bases when is a so-called structured weight, thus considerably extending the equivalence previously known to hold for sequential weights.
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Algorithms and Data Compression · Sparse and Compressive Sensing Techniques
