Computational Mathematics, Department of Mathematical Sciences
Chalmers University of Technology and University of Gothenburg

Conference publications of Stig Larsson

Complete list of publications in pdf. Go back.
  1. J.-M. Sanz-Serna and S. Larsson,
    Shadows, chaos, and saddles,
    Appl. Numer. Math. 13 (1993), 181-190.
    (pdf)
  2. F. Edelvik, B. Andersson, S. Jakobsson, S. Larsson, M. Persson, and Y. Shirvany,
    An improved method for dipole modeling in EEG-based source localization,
    World Congress of Medical Physics and Biomedical Engineering, 2009.
    (abstract, pdf)
  3. K. Adolfsson, M. Enelund, and S. Larsson,
    Adaptive discretization of integro-differential equations modelling quasi-static fractional order viscoelasticity,
    Second IFAC Workshop on Fractional Differentiation and Its Applications, Porto, Portugal, July 19-21, 2006.
    (abstract, amslatex, pdf, postscript)
  4. K. Kraft, S. Larsson, and M. Lidberg,
    Using an adaptive FEM to determine the optimal control of a vehicle during a collision avoidance manoeuvre,
    Proceedings of The 48th Scandinavian Conference on Simulation and Modeling (SIMS 2007),
    Peter Bunus, Dag Fritzson and Claus Führer (eds), Linköping University Electronic Press, http://www.ep.liu.se/ecp/027/015/.
    (abstract, amslatex, pdf)
  5. K. Adolfsson, M. Enelund, S. Larsson, and M. Racheva,
    Discretization of integro-differential equations modeling dynamic fractional order viscoelasticity,
    I. Lirkov, S. Margenov, and J. Wasniewski (Eds.) ''Proceedings of Large-Scale Scientific Computations, 2005, Sozopol, Bulgaria'',
    LNCS vol. 3743, Springer 2006, pp. 76-83.
    (abstract, amslatex, pdf, postscript)
  6. K. Adolfsson, M. Enelund, and S. Larsson,
    Models and numerical procedures for nonlinear fractonal order viscoelastics,
    First IFAC Workshop on Fractional Differentiation and its Applications, Bordeaux, France, July 19-21, 2004.
  7. M. Kovács, S. Larsson, and K. Urban,
    On Wavelet-Galerkin methods for semilinear parabolic equations with additive noise,
    J. Dick et al. (eds.), Monte Carlo and Quasi-Monte Carlo Methods 2012, Springer-Verlag (2014), pp. 481-499.
    [doi:10.1007/978-3-642-41095-6]