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Application of Radial Basis Functions Meshless Method for Solving an Inverse Parabolic Problem | ||
| Journal of Mathematics and Modeling in Finance | ||
| دوره 6، شماره 1، اردیبهشت 2026، صفحه 251-263 اصل مقاله (614.32 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22054/jmmf.2026.74612.1091 | ||
| نویسندگان | ||
| Moslem Jamalpour Malekabadi1؛ Ali Zakeri* 2؛ Amir Hossein Salehi Shayegan3 | ||
| 1Faculty of Mathematics, K. N. Toosi University of Technology | ||
| 2Faculty if marhematics, K. N. Toosi University of Technology | ||
| 3Department of Basic Sciences, Khatam-ol-Anbia (PBU) University | ||
| چکیده | ||
| In this paper, we propose an approximate solution to a one-dimensional inverse parabolic problem using radial basis functions (RBFs) and the Levenberg–Marquardt (LM) regularization method. This problem involves the backward heat equation. In particular, we first transform the well-known Black–Scholes equation into the heat equation through an appropriate change of variables. The resulting heat equation is then solved using the proposed numerical method. To obtain the approximate solution for the unknown temperature values at the initial time, an optimization problem is formulated to minimize a cost functional. Since the system of equations is ill-conditioned, the LM regularization method is applied. We derive convergence rates for the LM iterates under a Holder stability estimate. Finally, a numerical example is presented to illustrate the method's accuracy and effectiveness. | ||
| کلیدواژهها | ||
| Inverse parabolic problem؛ Radial basis functions method؛ Levenberg-Marquardt method؛ Approximate solution | ||
| مراجع | ||
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