ペーター・ドイフルハード
(2003). Numerical analysis in modern scientific computing: an introduction. New York: Springer.
Deuflhard, P., & Bornemann, F., Scientific computing with ordinary differential equations. en:Springer Science & Business Media.
Deuflhard, P. (2011). Newton methods for nonlinear problems: affine invariance and adaptive algorithms. en:Springer Science & Business Media.
Deuflhard, P., & Weiser, M. (2012). Adaptive numerical solution of PDEs. Walter de Gruyter.
Deuflhard, P., & Potra, F. A. (1992). Asymptotic mesh independence of Newton-Galerkin methods via a refined Mysovskii theorem. en:SIAM Journal on Numerical Analysis, 29(5), 1395-1412.
Schmidt, F., & Deuflhard, P. (1995). Discrete transparent boundary conditions for the numerical solution of Fresnel's equation. Computers & Mathematics with Applications, 29(9), 53-76.
The cascadic multigrid method for elliptic problems, FA Bornemann, P Deuflhard - en:Numerische Mathematik, 1996.
Beck, R., Deuflhard, P., Hiptmair, R., Hoppe, R. H., & Wohlmuth, B. (1997). Adaptive multilevel methods for edge element discretizations of Maxwell's equations.
A convergence analysis of iterative methods for the solution of nonlinear ill-posed problems under affinely invariant conditions, P Deuflhard, HW Engl, O Scherzer - Inverse problems, 1998.
A direct approach to conformational dynamics based on hybrid Monte Carlo, C Schütte, A Fischer, W Huisinga, P Deuflhard - Journal of Computational Physics, 1999.