Publications of Dr. Stefan Kindermann

Articles in refereed journals

  1. N. Li., S. Kindermann and C. Navasca
    Some convergence results on the Regularized Alternating Least-Squares method for tensor decomposition, Linear Algebra Appl. (2011),DOI 10.1016/j.laa.2011.12.002

  2. S. Kindermann, A. Neubauer and R. Ramlau
    A singular value decomposition for the Shack-Hartman based wavefront reconstruction,
    J. Comp. Appl. Math, 236, No. 1, pp 2186-2199, 2012.

  3. V. Isakov and S. Kindermann
    Subspaces of stability in the Cauchy-Problem for the Helmholtz equation
    Meth. Appl Anal., Vol. 18, No. 1, pp 1-30, 2011

  4. S. Kindermann
    Convergence Analysis for minimization based noise evel-free parameter choice rules for linear ill-posed problems
    ETNA, Vol. 38, pp. 233-257, 2011

  5. S. Kindermann and P.A. Mayer
    On the clibration of local jump-diffusion asset price models
    Finance and Stochastics, DOI: 10.1007/s00780-011-0159-7, 2011

  6. B. Hofmann and S. Kindermann
    On the degree of Ill-posedness for linear problems with non-compact operators
    Methods of Applications and Analysis, Vol 17, No 4, pp. 445-462, 2010

  7. A. Neubauer, T. Hein, B. Hofmann, S. Kindermann and U. Tautenhahn
    Improved and extended results for enhanced convergence rates fo Tikhonov regularization in Banach spaces,
    Appl. Anal. Vol. 89, No. 11, pp. 1729--1744, 2010

  8. E. Lughofer, S. Kindermann
    SparseFIS: Data-Driven Learning of Fuzzy Systems With Sparsity Constraints
    IEEE Trans. Fuzzy Sys. Vol 18, No.2 pp 396--411. 2010

  9. S. Kindermann and M. Janicki
    The heat transform and its use in thermal identification problems
    Electr. Trans. Numer. Anal. (ETNA), Vol. 35, pp 164--184, (2009)

  10. M. Janicki and S. Kindermann.
    Recovering temperature dependence of heat transfer coefficient in electronic circuits
    Inv. Prob. Sci. Eng., 1741-5985, Vol. 17, (8) pp. 1129--1142, (2009)

  11. S. Kindermann.
    Bounded variation regularization using line sections
    Numer. Func. Anal. Optim. vol. 30, pp 259-288, (2009)

  12. F. Bauer and S. Kindermann.
    Recent Results on the quasi-optimality principle
    J. Inv. Ill-posed Probl. 17, Issue 1 (2009), 5-18.

  13. L. He, S. Kindermann, M. Sini
    Reconstruction of shapes and impedance function using few farfield measurements,
    J. Comp. Phys, Vol 228, Issue 3, (2009), 717-730.

  14. M. Janicki, S. Kindermann, P. Pietrzak and A. Napieralski
    Estimation of local temperature dependent heat transfer coefficient for dynamic thermal analysis of electronic circuits,
    Journal of Physics: Conference Series 135 (2008) 012053

  15. V. Capasso, H. W. Engl and S. Kindermann
    Parameter identification in a random environment exemplified by a multiscale model of crystal growth.
    SIAM Mulit. Mod. Sim. 7, Nr. 2, pp 814-841 (2008)

  16. S. Kindermann and A. Neubauer
    On the convergence of the quasi-optimality criterion for (iterated) Tikhonov regularization
    Inv. Prob. Imag., 2, Nr. 2, pp 291-299, 2008

  17. F. Bauer and S. Kindermann.
    The quasi-optimality criterion for classical inverse problems
    Inverse Problems, 24, 035002 (20pp) 2008.

  18. S. Kindermann, P. Mayer, H-J. Albrecher, and H. W. Engl.
    Identification of the local speed function in a levy model for option pricing.
    J. Int. Eq. Appl, 20(2), 161-200, 2008.

  19. S. Rupitsch, S. Kindermann and B. Zagar
    Estimation of the Surface Normal Velocity of High Frequency Ultrasound Transducers.
    IEEE, Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2007, Vol 55, No. 1, pp 225-235

  20. S. Rupitsch, S. Kindermann and B. Zagar
    Solution of a non-linear inverse problem to identify the surface normal verlocity of ultrasound transducers.
    e & i (7-8), 2007.

  21. S. Kindermann and A. Leitao.
    Regularization by dynamic programing.
    J. Inv. Ill-posed Probl., 15, pp. 295--310, 2007.

  22. S. Kindermann and R. Ramlau.
    Surrogate functionals and thresholding for inverse interface problems.
    J. Inv. Ill-posed Probl., 15, pp. 387-402, 2007.

  23. S. Kindermann and A. Leitao.
    On regularization methods based on dynamic programming techniques.
    Appl. Anal., 86(5), pp. 611--632, 2007.

  24. S. Kindermann and A. Leitao.
    On regularization methods for inverse problems of dynamic type.
    Numer. Funct. Anal. Optimi., 27(2),pp. 139--160, 2006.

  25. S. Kindermann and C. Navasca.
    Optimal control as a regularization method for ill-posed problems.
    J. Inv. Ill-posed Prob., 14, pp. 685-703, 2006

  26. S. Kindermann, S. Osher, and J. Xu.
    Denoising by BV-duality.
    J. Sci. Comp, 28, pp. 411--444, 2006.

  27. H.W. Engl, A. Hofinger, and S. Kindermann.
    Convergence rates in the prokhorov metric for assessing uncertainty in ill-posed problems.
    Inverse Problems (21), pp. 399--412, 2005.

  28. S. Kindermann, S. Osher, and P. Jones.
    Deblurring and denoising of images by nonlocal functionals.
    SIAM, Mult. Mod. Sim., 4(4), pp. 1091--1115, 2005.

  29. S. Kindermann and A. Neubauer.
    Parameter identification by regularization for surface representation via the moving grid aproach.
    SIAM, J. Control Optim., (4), pp. 1416-1430, 2003.

  30. S. Kindermann and A. Neubauer.
    Estimation of discontinuous parameters of elliptic partial differential equations by regularization for surface representations.
    Inverse Problems, 17, pp. 789--803, 2001.

  31. S. Kindermann and A. Neubauer.
    Regularization for surface representations of discontinuous solutions of linear ill-posed problems.
    Numer. Funct. Anal. Optim., 22(1&2),pp. 79--105, 2001.

  32. V. Iskaov and S. Kindermann.
    Identification of the diffusion coefficient in a one-dimensional parabolic equation.
    Inverse Problems, 16, pp. 665--680, 2000.

  33. S. Kindermann and A. Neubauer.
    Identification of discontinuous parameters by regularization for curve representations.
    Inverse Problems, 15, pp. 1559--1572, 1999.

  34. S. Kindermann.
    Convergence of the hilbert uniqueness method via tikhonov regularization.
    J. Optimization Theory Appl., 103(3),pp. 657--673, 1999.

  35. S. Kindermann.
    A numerical investigation of newton-type methods applied to a parabolic inverse problem.
    J. Inverse Ill-Posed Probl., 7(6), pp. 541--560, 1999.

    36. Conference Proceedings

  36. M. Janicki S. Kindermann, A. Napieralski.
    Investigation of cicuit thermal models based on the transient thermal response spectra
    15th Intern. Conf on MIXDES 2008, pp 337-342

  37. C. Navasca, L. De Lathauwer, S. Kindermann.
    Swamp Reducing Technique for Tensor Decomposition,
    In Proceedings of the 16th European Signal Processing Conference (EUSIPCO 2008), Lausanne, 2008.

  38. E. Lughofer and S. Kindermann.
    Improving the Robustness of Data-Driven Fuzzy-Systems with Regularization.
    Proc. of the IEEE World Congress on Computational Intelligence (WCCI), 2008, Hongkong, pp 703-709, 2008.

  39. S. Kindermann and A. Neubauer.
    On the estimation of discontinuous solutions of parameter identification problems.
    In J. Cheng and M. Yamamoto, editors, 2nd International Conference on Inverse Problems: Recent Theoretical Developments and Numerical Approaches, pages 83--92, Bristol, 2005. Journal of Physics.

  40. H. Gu and S. Kindermann.
    Solution analysis of pdes related to the Mumford-Shah functional with symbolic computations.
    In Proceedings of the 7th International Conference of Computational Structure Technology, Lisboa, 2004. Civil Comp Press.

    41. Technical Reports

  41. A. Hofinger and S. Kindermann.
    Assessing Uncertainty in Nonlinear Inverse Problems with the Metric of Ky Fan.
    Technical report, University Linz SFB F013, 2006.
  42. S. Kindermann and S. Osher.
    Saddle point formulation for a cartoon-texture decomposition.
    Technical report, CAM-Report 05-42, UCLA, 2005.
  43. S. Kindermann.
    A new iterative regularization method using an equation of hamilton-jacobi type.
    Technical report, University Linz SFB F013, July 2003.
  44. S. Kindermann and A. Neubauer.
    Each BV-function is representable by an H1-curve.
    Technical Report 1/1999, Industrial Mathematics Institute, University of Linz, 1999.

    45. Not yet published

  45. S. Kindermann and C. Navasca
    New Algorithms for Tensor Decomposition based on a Reduced Functional, (sub.)
  46. S. Kindermann
    Discretization independent convergence rates for noise level-free
    parameter choice rules in the regularization of ill-conditioned problems, (accepted for ETNA)
  47. S. Kindermann, L. Mutimbu, and E. Resmeria,
    Heuristic parameter choie rules for total varitation regularization, (sub)
  48. S. Kindermann, A. Leitao,
    Convergence rates for Kaczmarz type regularization methods