Sparse Grids and Applications - Munich 2012

<p>Gerrit Buse, Dirk Pfl¨uger, and Riko Jacob: Efficient Pseudorecursive Evaluation Schemes for Non-Adaptive Sparse Grids.- Oliver G. Ernst and Bj¨orn Sprungk: Stochastic Collocation for Elliptic PDEs with Random Data – The Lognormal Case.- Michael Griebel and Helmut Harbrecht: On the Convergence of the Combination Technique.- Michael Griebel and Jan Hamaekers: Fast Discrete Fourier Transform on Generalized Sparse Grids.- Michael Griebel and Jens Oettershagen: Dimension-adaptive Sparse Grid Quadrature for Integrals with Boundary Singularities.- Max Gunzburger, Clayton G. Webster, and Guannan Zhang: An Adaptive Wavelet Stochastic Collocation Method for Irregular Solutions of Partial Differential Equations with Random Input Data.- Brendan Harding and Markus Hegland: Robust Solutions to PDEs with Multiple Grids.- Riko Jacob: Efficient Regular Sparse Grid Hierarchization by a Dynamic Memory Layout.- Valeriy Khakhutskyy and Dirk Pflüger: Alternating Direction Method of Multipliers for Hierarchical Basis Approximators.- Christoph Kowitz and Markus Hegland: An Opticom Method for Computing Eigenpairs.- Benjamin Peherstorfer, Fabian Franzelin, Dirk Pfl¨uger, and Hans-Joachim Bungartz: Classification with Probability Density Estimation on Sparse Grids.- Bettina Schieche and Jens Lang: Adjoint Error Estimation for Stochastic Collocation Methods.- Sebastian Ullmann and Jens Lang: POD-Galerkin Modeling and Sparse-Grid Collocation for a Natural Convection Problem with Stochastic Boundary Conditions.- Matthias Wong and Markus Hegland: Opticom and the Iterative Combination Technique for Convex Minimisation.</p><p> </p>