Aposteriori error estimates provide a rigorous foundation for the derivation of efficient adaptive algorithms for the approximation of solutions of partial differential equations (PDEs). While the literature is rich with results for the approximation of elliptic and parabolic PDEs, it is much less developed for the hyperbolic equations such as the acoustic or elastic wave equations. In this talk, I will review some of the “standard” aposteriori results for the scalar linear wave equation, including those of  and , and present recent improvements and further developments to lower order Sobolev norms based on Baker’s Trick  for backward Euler schemes. Subsequent focus will be given to practically relevant methods such as Verlet, Cosine, or Newmark methods, a popular example of which is the Leap-frog method .
Notes: This is based on joint work with E.H. Georgoulis, C. Makridakis and J.M. Virtanen.
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 C. Bernardi and E. Süli, Math. Models Methods Appl. Sci. 15(2):199–225, 2005.
 E. H. Georgoulis, O. Lakkis, and C. Makridakis. IMA J. Numer. Anal., 33(4):1245–1264, 2013, http://arxiv.org/abs/1003.3641
 E. H. Georgoulis, O. Lakkis, C. Makridakis, and J. M. Virtanen. SIAM J. Numer. Anal., 54(1), 2016, http://arxiv.org/abs/1411.7572