| contributor author | Ghosh, Bappa | |
| contributor author | Mohapatra, Jugal | |
| date accessioned | 2025-08-20T09:38:51Z | |
| date available | 2025-08-20T09:38:51Z | |
| date copyright | 5/22/2025 12:00:00 AM | |
| date issued | 2025 | |
| identifier issn | 1555-1415 | |
| identifier other | cnd_020_07_071006.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4308616 | |
| description abstract | This article presents an efficient layer-adaptive numerical scheme for time-fractional semilinear advection-reaction-diffusion equations with variable coefficients. In general, the solution to such type of problem exhibits mild singularity near t=0. The semilinear problem is linearized by applying Newton's linearization technique. The fractional component is discretized employing the L2-1σ formula, and the semidiscrete scheme is constructed as a set of boundary value problems (BVPs). To solve the resulting semidiscrete problems, the cubic B-spline collocation method is used. The presence of singularities creates a layer at the origin, and as a result, proposed scheme fails to achieve its optimal convergence rate on a uniform mesh. A graded mesh is used in the temporal direction with an user-chosen grading parameter to accelerate the convergence rate. On a suitable norm, convergence analysis and error-bound estimation are performed. The computational evaluation and comparison with the existing results demonstrate the robustness and effectiveness of the proposed scheme. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | An Adaptive Scheme Based on the Cubic B-Spline Collocation Technique for Time-Fractional Singular Parabolic Problems With Semilinearity | |
| type | Journal Paper | |
| journal volume | 20 | |
| journal issue | 7 | |
| journal title | Journal of Computational and Nonlinear Dynamics | |
| identifier doi | 10.1115/1.4068581 | |
| journal fristpage | 71006-1 | |
| journal lastpage | 71006-13 | |
| page | 13 | |
| tree | Journal of Computational and Nonlinear Dynamics:;2025:;volume( 020 ):;issue: 007 | |
| contenttype | Fulltext | |