Time-stepping DPG formulations for the heat equation
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Center for Computing Research
- Univ. of Texas, Austin, TX (United States). Oden Inst. for Computational Engineering and Sciences
For a wide range of PDEs, the discontinuous Petrov–Galerkin (DPG) methodology of Demkowicz and Gopalakrishnan provides discrete stability starting from a coarse mesh and minimization of the residual in a user-controlled norm, among other appealing features. Research on DPG for transient problems has mainly focused on spacetime discretizations, which has theoretical advantages, but practical costs for computations and software implementations. The sole examination of time-stepping DPG formulations was performed by Führer, Heuer, and Gupta, who applied Rothe’s method to an ultraweak formulation of the heat equation to develop an implicit time-stepping scheme; their work emphasized theoretical results, including error estimates in time and space. Here, we follow Führer, Heuer, and Gupta in examining the heat equation; our focus is on numerical experiments, examining the stability and accuracy of several formulations, including primal as well as ultraweak, and explicit as well as implicit and Crank–Nicolson time-stepping schemes. We are additionally interested in communication-avoiding algorithms, and we therefore include a highly experimental formulation that places all the trace terms on the right-hand side of the equation.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- AC04-94AL85000; NA0003525
- OSTI ID:
- 1667435
- Alternate ID(s):
- OSTI ID: 1815159
- Report Number(s):
- SAND-2020-9955J; 690742
- Journal Information:
- Computers and Mathematics with Applications (Oxford), Vol. 95; ISSN 0898-1221
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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