Dagstuhl Seminar Proceedings: Algorithms and Complexity for Continuous Problems 2004

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