Hyperbolic Cross Approximation

Dinh Dũng · Vladimir Temlyakov · Tino Ullrich

2018年11月 · Springer

電子書籍

218

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この電子書籍について

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 their univariate counterparts, and recent findings have established that multivariate mixed smoothness classes play a fundamental role in high-dimensional approximation. The book presents essential findings on and discussions of linear and nonlinear approximations of the mixed smoothness classes. Many of the important open problems explored here will provide both students and professionals with inspirations for further research.

著者について

Dinh Dũng is a Professor at the Vietnam National University, Vietnam.

Vladimir Temlyakov is a Professor at the University of South Carolina, CA, USA.

Tino Ullrich is a Professor at the Institute for Numerical Simulation in Bonn, Germany.

Dinh Dũng is a Professor at the Vietnam National University, Vietnam. Vladimir Temlyakov is a Professor at the University of South Carolina, CA, USA. Tino Ullrich is a Professor at the Institute for Numerical Simulation in Bonn, Germany.