1. P. Deuflhard, A. Hohmann: Numerical Analysis in Modern Scientific Computing: An Introduction. Second revised and extended edition. Texts in Applied Mathematics 43, Springer (2003).

  2. P. Deuflhard, M. Weber: Robust Perron Cluster Analysis in Conformation Dynamics. In: M. Dellnitz, S. Kirkland, M. Neumann and C. Schütte (eds.), Linear Algebra and Its Applications: Special Issue on Matrices and Mathematical Biology, Vol 398C pp 161-184 (2004)

  3. T. Galliat, P. Deuflhard, R. Roitzsch, F. Cordes: Automatic Identification of Metastable Conformations via Self-Organized Neural Networks. In: T.Schlick and H.H.Gan (eds.), Computational Methods for Macromolecules: Challenges and Applications. Proceedings of the 3rd International Workshop on Methods for Macromolecular Modeling, New York, 2000, Lecture Notes in Computational Science and Engineering (LNCSE), Springer Verlag Vol. 24, pp. 260-285, (2002).

  4. T. Galliat, P. Deuflhard: Adaptive hierarchical cluster analysis by Self-Organizing Box Maps. Konrad-Zuse-Zentrum Berlin. ZIB-Report 00-13 (April 2000).

  5. T. Galliat, W. Huisinga, P. Deuflhard: Self-Organizing Maps Combined with Eigenmode Analysis for Automated Cluster Identification. Konrad-Zuse-Zentrum Berlin, Preprint SC 99-38. In: H. Bothe, R. Rojas (eds.), Neural Computation, ICSC Academic Press, pp. 227-232 (2000).

  6. P. Deuflhard, W. Huisinga, A. Fischer, Ch. Schütte: Identification of Almost Invariant Aggregates in Reversible Nearly Uncoupled Markov Chains. Lin. Alg. Appl. 315, pp. 39-59 (2000).