University of Göttingen - Institute for Numerical and Applied Mathematics
Sina Bittens

Teaching
Research seminar: Numerical Analysis (English) (SS 2017)
Thursday 12.30 - 14.00, Seminarraum NAM (2 SWS)
Exercises: Approximation methods I - Exercises (English) (SS 2017)
Wednesday 10.15 - 11.55, Seminarraum 2 (2 SWS)
Research seminar: Numerical Analysis (English) (WS 2016/2017)
Thursday 12.30 - 14.00, Seminarraum NAM (2 SWS)
Exercises: Mathematik des Operation Research (Theory of integer programming) - Exercises (German) (WS 2016/2017)
to be fixed later (2 SWS)
Research seminar: Numerical Analysis (English) (SS 2016)
Thursday, 12.30 - 14.00, Seminarraum NAM (2 SWS)
Workshops
International Conference on Computational Harmonic Analysis 2017 (Talk)
May 24 - 28, 2017 in Shanghai
27. Rhein-Ruhr-Workshop (Talk)
January 27 - 28, 2017 in Bestwig
Annual RTG Workshop 2016 (Talk)
October 4 -6, 2016 in Luisenthal (Annual Workshop of the RTG 2088)
4th Dolomites Workshop on Constructive Approximation and Applications (Talk)
September 8 - 13, 2016 in Alba di Canazei (Italy)
Publications
Sparse FFT for Functions with Short Frequency Support
Sina Bittens
University of Göttingen, Institute for Numerical and Applied Mathematics, March 2017 (preprint as download)
A Deterministic Sparse FFT for Functions with Structured Fourier Sparsity
Sina Bittens, Ruochuan Zhang, Mark Iwen
University of Göttingen, Institute for Numerical and Applied Mathematics, and Michigan State University, Department of Mathematics, and Department of CMSE, March 2017 (preprint as download)
Software
Sparse FFT for Functions with Short Frequency Support
A deterministic sparse FFT algorithm for functions with short frequency support.
Sina Bittens
A Deterministic Sparse FFT for Functions with Structured Fourier Sparsity
A deterministic sparse FFT algorithm for functions with block-structured Fourier sparsity, implemented in C++.
Sina Bittens, Ruochuan Zhang, Mark Iwen
A Deterministic Sparse FFT for Functions with Structured Fourier Sparsity
A deterministic sparse FFT algorithm for functions with block-structured and polynomially structured Fourier sparsity, implemented in MATLAB.
Sina Bittens, Ruochuan Zhang, Mark Iwen
M. Sc. Sina Bittens

University of Göttingen
Institute for Numerical and Applied Mathematics
Lotzestr. 16-18
37083 Göttingen
Raum 308

Tel.: 0551-39-4515
sina.bittens AT mathematik.uni-goettingen.de