Dagstuhl Seminar Proceedings: Algorithms and Complexity for Continuous Problems 2004

• Stephan Dahlke, Erich Novak, Winfried Sickel:
  Optimal Approximation of Elliptic Problems II: Wavelet Methods.
  
• Thomas Müller-Gronbach, Erich Novak, Knut Petras, Joseph F. Traub:
  04401 Summary - Algorithms and Complexity for Continuous Problems.
  
• Nina Golyandina:
  Monte Carlo solution for the Poisson equation on the base of spherical processes with shifted centres.
  
• Siegfried Graf, Harald Luschgy:
  Quantization of self-similar Probabilities.
  
• Erika Hausenblas:
  Numerical Approximation of Parabolic Stochastic Partial Differential Equations.
  
• Norbert Hofmann:
  Upper Error Bounds for Approximations of Stochastic Differential Equations with Markovian Switching.
  
• Matthias U. Horn:
  Optimal algorithms for global optimization in case of unknown Lipschitz constant.
  
• Harald Luschgy, Gilles Pagès:
  Functional Quantization and Entropy for Stochastic Processes.
  
• Klaus Meer, Gregorio Malajovich:
  On the Complexity of Computing Multi-Homogeneous Bézout Numbers.
  
• Erich Novak, Stephan Dahlke, Winfried Sickel:
  Optimal Approximation of Elliptic Problems by Linear and Nonlinear Mappings.
  
• Dirk Nuyens, Ronald Cools:
  Fast Component-By-Component Construction of Rank-1 Lattice Rules for (Non-)Primes (Part II).
  
• Knut Petras, Klaus Ritter:
  On the Complexity of Parabolic Initial Value Problems with Variable Drift.
  
• Leszek Plaskota:
  Information-Based Nonlinear Approximation: An Average Case Setting.
  
• Klaus Ritter, Thomas Müller-Gronbach:
  Lower Bounds and Non-Uniform Time Discretization for Approximation of Stochastic Heat Equations.
  
• Grzegorz W. Wasilkowski, Henryk Wozniakowski:
  Polynomial-Time Algorithms for Multivariate Linear Problems with Finite-Order Weights; Worst Case Setting.
  
• Thomas Müller-Gronbach, Erich Novak, Knut Petras, Joseph F. Traub:
  04401 Abstracts Collection - Algorithms and Complexity for Continuous.