1. P. Deuflhard: Newton Methods for Nonlinear Problems. Affine Invariance and Adaptive Algorithms. Series Computational Mathematics 35, Springer (2004).

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

  3. P. Deuflhard, A. Hohmann: Numerische Mathematik I. Eine algorithmisch orientierte Einführung. 3. überarbeitete und erweiterte Auflage. de Gruyter: Berlin, New York (2002).

  4. P. Deuflhard, A. Hohmann: Numerical Analysis. A First Course in Scientific Computation. Verlag de Gruyter: Berlin, New York (1995).

  5. P. Deuflhard, A. Hohmann: Numerische Mathematik I. Eine algorithmisch orientierte Einführung. Verlag de Gruyter: Berlin, New York (1991).

  6. P. Deuflhard, F. A. Potra: A Refined Gauss-Newton Mysovskii Theorem. Konrad-Zuse-Zentrum Berlin, Preprint SC 91-4 (1991).

  7. P. Deuflhard, E. Hairer (eds.): Numerical Treatment of Inverse Problems in Differential and Integral Equations. Birkhäuser/Boston, Series ``Progress in Scientific Computing'', Vol. 2 (1983).

  8. P. Deuflhard, V. Apostolescu: A Study of the Gauss-Newton Method for the Solution of Nonlinear Least Squares Problems. In: Frehse/Pallaschke/Trottenberg (eds.): Special Topics of Applied Mathematics, Amsterdam: North-Holland Publ., pp. 129-150 (1980).

  9. P. Deuflhard, G. Heindl: Affine Invariant Convergence Theorems for Newton's Method and Extensions to Related Methods. SIAM J. Numer. Anal. 16, pp. 1-10 (1979).

  10. P. Deuflhard, V. Apostolescu: An Underrelaxed Gauss-Newton Method for Equality Constrained Nonlinear Least Squares Problems. In: J. Stoer (ed.): Optimization Techniques, Proc. 8th IFIP Conf., Würzburg 1977, part 2, Springer Lecture Notes Control Inf. Sci. 7, pp. 22-32 (1978).