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. The fundamental question of nonlinear approximation is how to devise good constructive methods...
This first book on greedy approximation gives a systematic presentation of the fundamental results. It also contains an introduction to two hot topics...
This book is the first one that gives a systematic presentation of recent fundamental results on greedy approximation with respect to bases. Greedy approximation is a very fresh area of research where graduate students may begin their independent research at an early stage. Moreover, greedy approximation, being a theoretical subject, has many connections with applied and computational mathematics. This feature is very attractive for many researchers, including graduate students. On top of this, greedy approximation is developing into a beautiful mathematical theory with deep connections to...
This book is the first one that gives a systematic presentation of recent fundamental results on greedy approximation with respect to bases. Greedy ap...
