dc.contributor.author |
Kumar, Devendra |
|
dc.date.accessioned |
2023-07-22T04:54:00Z |
|
dc.date.available |
2023-07-22T04:54:00Z |
|
dc.date.issued |
2022-03 |
|
dc.identifier.uri |
https://www.sciencedirect.com/science/article/pii/S0168927421003391 |
|
dc.identifier.uri |
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/10967 |
|
dc.description.abstract |
A numerical scheme is constructed for the second-order parabolic partial differential equation with piecewise smooth initial data. The scheme comprises an orthogonal spline collocation strategy with the Rannacher time-marching. The irregular behavior of the underlying initial conditions of such differential equations results in inaccurate approximations due to the quantization error. For such problems, even the A-stable Crank-Nicolson scheme yields only first-order convergence in the temporal direction, with oscillations near the discontinuity. Applying mathematical perspective to dampen these oscillations, we present a highly accurate orthogonal spline collocation method with a smooth but straightforward time-marching scheme that significantly improves the convergence order. Through rigorous analysis, the present conjunctive scheme's convergence in the spatial direction is shown fourth-order (in and -norms) and third-order (in -norm), and it is shown second-order in the temporal direction. The performance and robustness of the contributed scheme are conclusively demonstrated with two test examples. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Elsevier |
en_US |
dc.subject |
Mathematics |
en_US |
dc.subject |
Crank-Nicolson scheme |
en_US |
dc.subject |
Finite difference schemes |
en_US |
dc.subject |
Non-smoothness |
en_US |
dc.subject |
Rannacher scheme |
en_US |
dc.subject |
Orthogonal spline collocation |
en_US |
dc.title |
A highly accurate algorithm for retrieving the predicted behavior of problems with piecewise-smooth initial data |
en_US |
dc.type |
Article |
en_US |