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Séminaire Modélisation et Culture Scientifique

4/12/2015

Newton-Krylov methods have proven to be very effective for solution of large-scale, nonlinear systems of equations resulting from discretizations of PDEs. However, increasing complexities and newer models are giving rise to nonlinear systems with characteristics that challenge this commonly used method. In particular, for many problems, Jacobian information may not be available or it may be too costly to compute. Moreover, linear system solves required to update the linear model within each Newton iteration may be too costly on newer machine architectures.

Lieu : Rocquencourt - Amphithéâtre Alan Turing - Bâtiment 1

Intervenant(s) : Carol S. WOODWARD, Lawrence Livermore National Laboratory, Etats unis

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