Optimal Parameters for Numerical Solvers of PDEs

Journal article

In this paper we introduce a procedure for identifying optimal methods in parametric families of numerical schemes for initial value problems in partial differential equations. The procedure maximizes accuracy by adaptively computing optimal parameters that minimize a defect-based estimate of the local error at each time step. Viable refinements are proposed to reduce the computational overheads involved in the solution of the optimization problem, and to maintain conservation properties of the original methods. We apply the new strategy to recently introduced families of conservative schemes for the Korteweg-de Vries equation and for a nonlinear heat equation. Numerical tests demonstrate the improved efficiency of the new technique in comparison with existing methods

Authors: Frasca-Caccia, G; Singh, P

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Springer
• Journal: Journal of Scientific Computing
• Volume: 97
• Issue: 1
• Pages: 11
• Article number: 11
• Publication date: 2023-09-07
• DOI: 10.1007/s10915-023-02324-0
• EISSN: 1573-7691
• ISSN: 0885-7474
• Language: English
• Keywords: Numerical analysis; Mathematics; Partial differential equation; Mathematical optimization; Initial value problem; Nonlinear system; Parametric statistics; Applied mathematics; Mathematical analysis