Lagrangian approach for the reconstruction of source function in a parabolic equation using partial boundary measurements
Journal article, 2026

In this paper, we present the analytical and numerical study of the Lagrangian optimization approach for determining the space-dependent source function in the parabolic inverse source problem (ISP) using partial boundary measurements. The Lagrangian approach for the solution of the optimization problem is presented, and optimality conditions are derived. The proof of the Fr & eacute;chet differentiability of the regularized Tikhonov functional and the existence result for the solution of the inverse source problem are established. A remarkable local Lipschitz stability estimate for the unknown source term in terms of partial boundary measurement using the variational approach is obtained. The numerical examples justify the theoretical investigations using the conjugate gradient method (CGM) in 2D and 3D tests with noisy data.

Finite difference method

Conjugate gradient method

Lagrangian

Inverse source problem

Optimization

Tikhonov functional

Parabolic problem

Author

T. Sharma

Indian Institute of Space Science and Technology

Larisa Beilina

University of Gothenburg

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

K. Sakthivel

Indian Institute of Space Science and Technology

Mathematics and Computers in Simulation

0378-4754 (ISSN)

Vol. 250 442-463

Subject Categories (SSIF 2025)

Mathematical Analysis

DOI

10.1016/j.matcom.2026.06.023

More information

Latest update

7/23/2026