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CRM > English > Activities > Curs 2016-2017 > Follow-up Approximation Theory and Function Spaces
Follow-up Approximation Theory and Function Spaces
 General information
 
From June 26 to 30, 2017
Group picture 1
Organizing committee 
 
Vladimir Temlyakov
​University of South Carolina
Sergey Tikhonov
ICREA/CRM

 

Presentation 
 
This conference is a follow-up workshop to Intensive Research Program Constructive Approximation and Harmonic Analysis​, which took place in CRM during March-July 2016.
 
The workshop will promote the modern research connecting Fourier analysis, function spaces, and their links to modern developments in the high-dimensional approximation theory. The purpose of this meeting is to bring together the leading experts, and disseminate the latest progress in research, and in the interaction of these fields. 
 
The topics of the workshop include:
·       Function spaces and Embedding/Duality/Extension theorems
·       Smoothness of multivariate functions
·       Fourier transforms inequalities
·       Weighted inequalities
·       Hyperbolic cross approximation
·       Sparse approximation
·       Constructive methods of approximation
·  ​     Applications to industrial mathematics

We plan to organize a special section on applications of Fourier analysis and approximation theory in industrial mathematics. The main topics of this section include: optics, encoders, sensors, etc.

It is a workshop in a style of the Banff and Oberwolfach workshops.
 
The workshop is expected to be partially supported by CRM and NSF.

 

 Tentative list of participants
 
Dauren Bazarkhanov
Kazakh Institute of Math
Dmitriy Bilyk
University of Minnesota
Peter Binev
University of South Carolina
Andrii Bondarenko
Norwegian University of Science and Technology
Fernando Cobos Diaz
Universidad Complutense de Madrid
​​Néstor Costa ​Centre de Recerca Matemàtica
Feng Dai
University of Alberta
​Oleg Davydov ​University of Giessen
​Alberto Debernardi
​Centre de Recerca Matemàtica
Laura De Carli
Florida International University
Anton Dereventsov
University of South Carolina
Stephen Dilworth
University of South Carolina
Oscar Domínguez Bonilla
Universidad Complutense de Madrid
Gustavo Garrigos
Universidad de Murcia
Michael Gnewuch
Kiel Univesität
​Amiran Gogatishvili ​Academy of Sciences of the Czech Republic
Dmitry Gorbachev
Tula State University
Eugenio Hernández
Universidad Autónoma de Madrid
Valerii Ivanov
Tula State University
Thaís Jordão
Universidade de São Paulo
Ainur  Jumabayeva
L.N. Gumilyov Eurasian National University
Boris Kashin
Steklov Mathematical Institute
Iurii Kolomoitsev
Universität zu Lübeck
Thomas Kühn
Universität Leipzig
Michael Lacey
​Georgia Institute of Technology
Dany Leviatan
Tel Aviv University
Yura Malykhin
Steklov Mathematical Institute
​Askhat Mukanov ​L.N. Gumilyov Eurasian National University
Michael Ruzhansky
Imperial College
Alexei Shadrin
University of Cambridge
Winfried Sickel
Friedrich-Schiller Universität Jena
Serhii Stasyuk
Institute of Mathematics
Stefan Steinerberger
Yale University
Vladimir Stepanov
Steklov Mathematical Institute
Alex Stokolos
Georgia Southern University
Giancarlo Travaglini
Università degli Studi di Milano-Bicocca
Mario Ullrich
Johannes Kepler Universität Linz
Tino Ullrich
Universität Bonn
André Uschmajew
Universität Bonn
Soledad Villar
The University of Texas at Austin
Aizhan Ydyrys
L.N. Gumilyov Eurasian National University​
​Zhanibek Ydyrys ​L.N. Gumilyov Eurasian National University

 
 
Registration 
 

Registration fee : 50 EUR

 

Refund policy:
Cancellations received 1 month before the start of the activity will incur in an administrative fee of 50of the total amount.
Cancellations received less than one month prior to the start of the activity are not refundable.
 
Further information 
 
If you have any question please contact the activity's coordinator Ms. Núria Hernandez at nhernandez@crm.cat​ .​ 
 
Sponsors 

 

Support for the Follow-up Approximation Theory and Function Spaces was generously provided by the National Science Foundation and the International Society for Analysis, its Applications and Computation:

 

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