Software Package for Solving Non-linear Evolution Problems The code KARDOS was originally developed at ZIB Berlin to solve systems of non-linear mixed parabolic-elliptic partial differential equations by means of adaptive space and time discretizations. Linearly implicit one-step methods of Rosenbrock type are coupled with standard Finite Elements of various orders. KARDOS uses unstructured grids in one, two, and three space dimensions. A large proportion of the current work is carried out in close collaboration with ZIB Berlin. Extensions that we are working on include: incorporation of computational fluid dynamics (CFD), optimisation and moving finite elements.
Keywords for this software
References in zbMATH (referenced in 8 articles )
Showing results 1 to 8 of 8.
- Bott, Stefanie; Clever, Debora; Lang, Jens; Ulbrich, Stefan; Ziems, Jan; Schröder, Dirk: On a fully adaptive SQP method for PDAE-constrained optimal control problems with control and state constraints (2014)
- Clever, Debora; Lang, Jens; Ulbrich, Stefan; Ziems, Carsten: Generalized multilevel SQP-methods for PDAE-constrained optimization based on space-time adaptive PDAE solvers (2012)
- Gerisch, A.; Lang, J.; Podhaisky, H.; Weiner, R.: High-order linearly implicit two-step peer - finite element methods for time-dependent PDEs (2009)
- Franzone, Piero Colli; Deuflhard, Peter; Erdmann, Bodo; Lang, Jens; Pavarino, Luca F.: Adaptivity in space and time for reaction-diffusion systems in electrocardiology (2006)
- Lang, Jens: Adaptive computation for boundary control of radiative heat transfer in glass (2005)
- Erdmann, Bodo; Lang, Jens; Roitzsch, Rainer: Adaptive linearly implicit methods for instationary nonlinear problems (2001)
- Lang, J.: Numerical solution of reaction-diffusion equations (1996)
- Lang, Jens: Two-dimensional fully adaptive solutions of reaction-diffusion equations (1995)
Further publications can be found at: http://www3.mathematik.tu-darmstadt.de/hp/numerik-und-wissenschaftliches-rechnen-homepages/lang-jens/prof-dr-jens-lang/publications.html