Vladimir Temlyakov – författare

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5 produkter

1. 

   Greedy Approximation

   Av Vladimir Temlyakov

   Inbunden, 2011

   1156 kr

   Lägg i varukorg

   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 …

2. 

   Sparse Approximation with Bases

   Av Vladimir Temlyakov, Sergey Tikhonov

   Häftad, 2015

   334 kr

   Lägg i varukorg

   This book systematically presents recent fundamental results on greedy approximation with respect to bases.Motivated by numerous applications, the last decade has seen great successes in studying nonlinear sparse approximation. Recent findings have established that greedy-type algorithms are …

3. 

   Sparse Approximation with Bases

   Av Vladimir Temlyakov, Sergey Tikhonov

   E-bok, 2015

   440 kr

   Lägg i varukorg

   This book systematically presents recent fundamental results on greedy approximation with respect to bases. Motivated by numerous applications, the last decade has seen great successes in studying nonlinear sparse approximation. Recent findings have established that greedy-type algorithms are …

4. 

   Hyperbolic Cross Approximation

   Av Dinh Dũng, Vladimir Temlyakov m. fl.

   Häftad, 2018

   498 kr

   Lägg i varukorg

   This book provides a systematic survey of classical and recent results on hyperbolic cross approximation.Motivated by numerous applications, the last two decades have seen great success in studying multivariate approximation. Multivariate problems have proven to be considerably more difficult than …

5. 

   Hyperbolic Cross Approximation

   Av Tino Ullrich, Vladimir Temlyakov m. fl.

   E-bok, 2018

   652 kr

   Lägg i varukorg

   This book provides a systematic survey of classical and recent results on hyperbolic cross approximation. Motivated by numerous applications, the last two decades have seen great success in studying multivariate approximation. Multivariate problems have proven to be considerably more difficult than …