# Greedy Approximation

@inproceedings{Temlyakov2011GreedyA,
title={Greedy Approximation},
year={2011}
}
This first book on greedy approximation gives a systematic presentation of the fundamental results. It also contains an introduction to two hot topics in numerical mathematics: learning theory and compressed sensing. Nonlinear approximation is becoming increasingly important, especially since two types are frequently employed in applications: adaptive methods are used in PDE solvers, while m-term approximation is used in image/signal/data processing, as well as in the design of neural networks…
285 Citations

## Topics from this paper

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