2000 character limit reached
The Aubin--Nitsche Trick for Semilinear Problems
Published 4 Jul 2017 in math.NA | (1707.00963v1)
Abstract: The Aubin--Nitsche trick is a common tool to show $L2$-error estimates for discretizations of $H1$-elliptic linear partial differential equations arising for example as Euler--Lagrange equations of a quadratic energy functional. The technique itself is linear: for quasilinear problems it is not applicable. We generalize the Aubin--Nitsche trick to a class of minimization problems closely related to semi-linear partial differential equations.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.