Abstract
We develop a simple and efficient numerical scheme to solve a class of
obstacle problems encountered in various applications. Mathematically,
obstacle problems are usually formulated using nonlinear partial
differential equations (PDE). To construct a computationally efficient
scheme, we introduce a time derivative term and convert the PDE into a
time-dependent problem. But due to its nonlinearity, the time step is in
general chosen to satisfy a very restrictive stability condition. To
relax such a time step constraint when solving a time dependent
evolution equation, we decompose the nonlinear obstacle constraint in
the PDE into a linear part and a nonlinear part and apply the
semi-implicit technique. We take the linear part implicitly while
treating the nonlinear part explicitly. Our method can be easily applied
to solve the fractional obstacle problem and min curvature flow
problem. The article will analyze the convergence of our proposed
algorithm. Numerical experiments are given to demonstrate the efficiency
of our algorithm.
Original language | English |
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Pages (from-to) | 620-643 |
Number of pages | 24 |
Journal | Numerical Mathematics |
Volume | 13 |
Issue number | 3 |
DOIs | |
Publication status | Published - Aug 2020 |
Scopus Subject Areas
- Modelling and Simulation
- Control and Optimization
- Computational Mathematics
- Applied Mathematics
User-Defined Keywords
- Nonlinear elliptic equations
- Numerical methods
- Obstacle problem
- Semi-implicit scheme