DFG
DFG-Schwerpunktprogramm 1324
Extraktion quantifizierbarer Information aus komplexen Systemen
Philipps-Universität Marburg
DFG-SPP 1324
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Intern
Projekt-Liste der zweiten Phase
Nr.
Antragsteller
Projekttitel
1
Belomestny
(Duisburg)
Bender
(Saarbrücken)
Solving optimal stopping problems and reflected backward stochastic differential equations by convex optimization and penalization
2
Dahmen
(Aachen)
Kutyniok
(Berlin)
Schwab
(Zürich)
Numerical and harmonic analysis of problems with anisotropic features, directional representation systems and the solution of transport dominated problems, in particular, for parameter dependent high dimensional versions
3
Dahlke
(Marburg)
Koordination des Schwerpunktprogramms "Mathematische Methoden zur Extraktion quantifizierbarer Information aus komplexen Systemen"
4
Dahlke
(Marburg)
Maaß
(Bremen)
Stevenson
(Amsterdam)
Adaptive wavelet frame methods for operator equations: Sparse grids, vector-valued spaces and applications to nonlinear inverse parabolic problems
5
Dahlke
(Marburg)
Ritter
(Kaiserslautern)
Schilling
(Dresden)
Adaptive Wavelet Methods for SPDEs
6
Dereich
(Münster)
Müller-Gronbach
(Passau)
Neuenkirch
(Mannheim)
Ritter
(Kaiserslautern)
Constructive Quantization and Multilevel Algorithms for Quadrature of SDEs
7
Cliffe
(Nottingham)
Ernst
(Freiberg)
Starkloff
(Zwickau)
Stochastic Galerkin Methods: Fundamentals and Algorithms
8
Friz
(Berlin)
Stannat
(Darmstadt)
Application of rough path theory for filtering and numerical integration methods
9
Garcke
(Bonn)
Reinforcement learing in a continuous state space
10
Grasedyck
(Aachen)
Adaptive Hierarchical Low Rank Formals of High-dimensional Tensors with Applications in PDEs with Stochastic Parameters
11
Hackbusch
(Leipzig)
Schneider
(Berlin)
Tyrtyshnikov
(Moscow)
Tensor methods in multi-dimensional spectral problems with particular application in electronic structure calculations
12
Hein
(Saarbrücken)
Setzer
(Saarbrücken)
Nonlinear eigenproblems for high-dimensional data analysis
13
Iske
(Hamburg)
Plonka-Hoch
(Göttingen)
Adaptive Approximation Algorithms for Sparse Data Representation
14
Jahnke
(Karlsruhe)
Numerical methods for high-dimensional stochastic reaction networks
15
Kiesel
(Duisburg)
Urban
(Ulm)
Efficient and reliable numerical methods for energy markets
16
Kunis
(Osnabrück)
Potts
(Chemnitz)
Sparse Fast Fourier Transforms
17
Lubich
(Tübingen)
Numerical methods in quantum dynamics
18
Novak
(Jena)
Fast computation of expectations and integrals by Markov chain Monte Carlo methods; error bounds and burn-in
19
Rohde
(Bochum)
High-dimensional stochastic differential equations under sparsity constraints
20
Yserentant
(Berlin)
Regularity, complexity, and approximability of electronic wavefunctions
Projekt-Liste der ersten Phase
Nr.
Antragsteller
Projekttitel
1
Bender
(Saarbrücken)
Bollhöfer
(Braunschweig)
Validating Numerical Solutions of High-Dimensional Backward SDEs Arising from Finance
2
Creutzig
(Darmstadt)
Dereich
(Münster)
Müller-Gronbach
(Passau)
Ritter
(Kaiserslautern)
Scheutzow
(Berlin)
Constructive Quantization and Multilevel Algorithms for Quadrature of SDEs
3
Dahlke
(Marburg)
Koordination des Schwerpunktprogramms "Mathematische Methoden zur Extraktion quantifizierbarer Information aus komplexen Systemen"
4
Dahlke
(Marburg)
Maaß
(Bremen)
Stevenson
(Amsterdam)
Adaptive Wavelet Frame Methods for Operator Equations: Sparse Grids, Vector-Valued Spaces and Applications to Nonlinear Inverse Parabolic Problems
5
Dahlke
(Marburg)
Ritter
(Kaiserslautern)
Schilling
(Dresden)
Adaptive Wavelet Methods for SPDEs
6
Dahmen
(Aachen)
Kutyniok
(Berlin)
Schwab
(Zürich)
Numerical and Harmonic Analysis of Problems with Anisotropic Features, Directional Representation Systems and the Solution of Transport Equations
7
Ernst
(Freiberg)
Starkloff
(Zwickau)
Stochastic Galerkin Methods: Fundamentals and Algorithms
8
Garcke
(Bonn)
Reinforcement Learning in a Continuous State Space
9
Grasedyck
(Aachen)
Alternative Black-Box Approximation of High-Dimensional Tensors
10
Griebel
(Bonn)
Lower-Dimensional Principal Manifold Learning in Higher-Dimensional Data Spaces by Sparse Grid Methods
11
Hackbusch
(Leipzig)
Schneider
(Berlin)
Tensor Methods in Multi-Dimensional Spectral Problems with Particular Application in Electronic Structure Calculations
12
Holtz
(Berlin)
The Linear Algebra of Compressed Sensing, with Applications to PDEs
13
Iske
(Hamburg)
Plonka-Hoch
(Göttingen)
Adaptive Approximation Algorithms for Sparse Data Representation
14
Jahnke
(Karlsruhe)
Schütte
(Berlin)
Numerical Methods for High-Dimensional Stochastic Reaction Networks
15
Kunis
(Osnabrück)
Potts
(Chemnitz)
Sparse Fast Fourier Transforms
16
Lorenz
(Braunschweig)
Teschke
(Neubrandenburg)
Sparsity and Compressed Sensing in Inverse Problems
17
Lubich
(Tübingen)
Numerical Methods in Quantum Dynamics
18
Novak
(Jena)
Computation of Weighted Integrals by Randomized Algorithms: The Metropolis Algorithm, Explicit Error Bounds and Improvements
19
Sickel
(Jena)
Optimal Approximation of Tensor Products of Linear Operators
20
Kiesel
(Duisburg)
Urban
(Ulm)
Adaptive Wavelet Methods for Structured Financial Products
21
Yserentant
(Berlin)
Regularity, Complexity, and Approximability of Electronic Wavefunctions
Aktuelles:
2014-11-04 17:51:00
Preprint #172: Weak convergence of finite element approximations of linear stochastic evolution equations with additive L{\'e}vy noise (M. Kov{\'a}cs, F. Lindner, R. L. Schilling)
2014-10-30 14:52:00
Preprint #171: Sparse high-dimensional FFT based on rank-1 lattice sampling (D. Potts, T. Volkmer)
2014-09-27 09:10:00
Preprint #170: Adaptation to lowest density regions with application to support recovery (T. Patschkowski, A. Rohde)
2014-09-11 12:00:00
Preprint #169: A class of random functions in non-standard smoothness spaces (S. Dahlke, N. Döhring, S. Kinzel)
2014-07-25 19:17:00
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