Contact

Brit Steiner
IANS
Pfaffenwaldring 57
70569 Stuttgart
Germany
 
Fon
+49-711-68562080
Fax
+49-711-68565507

 

 

 

Directly to

zur Startseite

Gabriele Santin

Dr.
Gabriele  Santin


This picture shows  
				Gabriele Santin
Phone 0049 711 685-65295
Room 7.118
Email address
Address
University of Stuttgart
Institute of Applied Analysis and Numerical Simulation
Pfaffenwaldring 57
D-70569   Stuttgart
Germany


Research Interests

I work in the field of kernel-based approximation methods.
My current interest is in greedy algorithms for scalar and vectorial data, with applications to surrogate models.

Preprints

Köppl, T.; Santin, G.; Haasdonk, B. & Helmig, R.: Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and machine learning techniques, University of Stuttgart, 2017. Zeige BibTex Zeige Abstract

Köppel, M.; Franzelin, F.; Kröker, I.; Oladyshkin, S.; Santin, G.; Wittwar, D.; Barth, A.; Haasdonk, B.; Nowak, W.; Pflüger, D. & Rohde, C.: Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario, 2017. Zeige BibTex Zeige Abstract

Publications

Brünnette, T.; Santin, G. & Haasdonk, B.: Greedy kernel methods for accelerating implicit integrators for parametric ODEs, University of Stuttgart, 2018, Proceedings of ENUMATH 2017. Zeige BibTex Zeige Abstract

De Marchi, S.; Iske, A. & Santin, G.: Image reconstruction from scattered Radon data by weighted positive definite kernel functions, Calcolo, 2018, 55, 2. Zeige BibTex Zeige Abstract

De Marchi, S.; Idda, A. & Santin, G.: Fasshauer, Gregory E. and Schumaker, Larry L. (Eds.), A Rescaled Method for RBF Approximation, Approximation Theory XV: San Antonio 2016, Springer International Publishing, 2017, 39-59. Zeige BibTex Zeige Abstract

Haasdonk, B. & Santin, G.: Greedy Kernel Approximation for Sparse Surrogate Modelling, Proceedings of the KoMSO Challenge Workshop on Reduced-Order Modeling for Simulation and Optimization, 2017. Zeige BibTex Zeige Abstract

Santin, G. & Haasdonk, B.: Convergence rate of the data-independent P-greedy algorithm in kernel-based approximation, Dolomites Research Notes on Approximation, 2017, 10, 68-78. Zeige BibTex Zeige Abstract

Cavoretto, R.; De Marchi, S.; De Rossi, A.; Perracchione, E. & Santin, G.: Approximating basins of attraction for dynamical systems via stable radial bases, AIP Conf. Proc., 2016. Zeige BibTex Zeige Abstract

Cavoretto, R.; De Marchi, S.; De Rossi, A.; Perracchione, E. & Santin, G.: Partition of unity interpolation using stable kernel-based techniques, Applied Numerical Mathematics, 2016. Zeige BibTex Zeige Abstract

Santin, G. & Schaback, R.: Approximation of eigenfunctions in kernel-based spaces, Adv. Comput. Math., 2016, 42, 973-993. Zeige BibTex Zeige Abstract

Cavoretto, R.; De Marchi, S.; De Rossi, A.; Perracchione, E. & Santin, G.: Vigo-Aguiar, J. (Eds.), RBF approximation of large datasets by partition of unity and local stabilization, CMMSE 2015 : Proceedings of the 15th International Conference on Mathematical Methods in Science and Engineering, 2015, 317-326. Zeige BibTex Zeige Abstract

De Marchi, S. & Santin, G.: Fast computation of orthonormal basis for RBF spaces through Krylov space methods, BIT Numerical Mathematics, Springer Netherlands, 2015, 55, 949-966. Zeige BibTex Zeige Abstract

De Marchi, S. & Santin, G.: A new stable basis for radial basis function interpolation, J. Comput. Appl. Math., 2013, 253, 1-13. Zeige BibTex Zeige Abstract

Santin, G.; Sommariva, A. & Vianello, M.: An algebraic cubature formula on curvilinear polygons, Applied Mathematics and Computation, 2011, 217, 10003-10015. Zeige BibTex Zeige Abstract

Thesis

Santin, G.: Approximation in kernel-based spaces, optimal subspaces and approximation of eigenfunction, Doctoral School in Mathematical Sciences, University of Padova, 2016. Zeige BibTex


Teaching

Co-supervised Theses:

  • Inverse Radon Transformation mit Multiskalen-Kernen, MSc in Mathematics.
  • Kernel Methods for Accelerating Implicit Integrators, BSc in Simulation Technology.
  • Interpolation mit Multiskalen-Kernen, BSc in Mathematics.
  • A comparison of some RBF interpolation methods: theory and numerics, MSc in Mathematics (at University of Padova).
  • Kernel-based medical image reconstruction from Radon data, MSc in Mathematics (at University of Padova).

Talks

26.9.2017 Greedy kernel methods for accelerating implicit integrators for parametric ODEs,

ENUMATH2017

13.9.2016 Non-symmetric kernel-based approximation,

DWCAA 2016

30.3.2016 Greedy Kernel Interpolation Surrogate Modeling (Poster),

MORML 2016

6-10.7.2015 RBF approximation of large datasets by partition of unity and local stabilization,

CMMSE2015

25.9.2014 Approximation in kernel based spaces,

SPAN

30.6 - 4.7.2014 Bases for Radial Basis Function Approximation,

First Joint International Meeting RSME-SCM-SEMA-SIMAI-UMI

29-30.11.2013 A fast algorithm for computing a truncated orthonormal basis for RBF native spaces,

Multivariate Approximation

21-22.10.2013 Some tools for fast and stable Radial Basis Function approximation with Scilab,

International CAE Conference

21-22.10.2013 Kernel methods for Radon transform (Poster),

International CAE Conference

8-13.9.2013 WSVD basis for RBF and Krylov subspaces (Poster),

DRWA13

5-9.8.2013 A orthonormal basis for Radial Basis Function approximation ,

Isaac 9th Congress

9-15.6.2013 A fast algorithm for computing a truncated orthonormal basis for RBF native spaces ,

CTF-2013

9-14.9.2012 A new stable basis for RBF approximation (Poster),

DWCAA2012


Further information

My profiles on ORCID, Google Scholar, Research Gate.


Software

2016 P-greedy:implementation of the P-greedy algorithm (MATLAB).
2015 EigenApprox:Approximation of eigenfunctions in kernel based spaces (MATLAB).
2015 KBMIR:Kernel based medical image reconstruction (MATLAB).
2014 WSVD and FCoOB:RBF Approximation with WSVD-Basis and Fast WSVD-Basis (MATLAB).