Since the whole function U is also unknown, the first
inverse problem consists in determination a pair of functions (f, U) that satisfies (2.3), (2.4) and (2.5).
allows us to treat the problem as an ill-posed
inverse problem and solve it by regularization techniques.
This problem is one kind of
inverse problem, also called final value problem or time
inverse problem.
In the present paper, we study the
inverse problem of determining the source term in a degenerate heat equation perturbed by a singular potential from the theoretical analysis and numerical computation angles.
The main aim of this paper is to solve the
inverse problem for the boundary value problem (1.1), (1.2) by Weyl function on a finite interval.
In this paper, we implement the Bayesian statistical inversion theory to obtain a solution for an
inverse problem of growth data using a fractional population growth model, defined in Section 2.
CS is a very appealing tool for
inverse problem in electromagnetism, as confirmed by the large number of papers published on relevant journals (see e.g., [21, 25-32]).
Knowing such data and employing an
inverse problem approach, the estimation of the suspension stiffness and damping coefficient could be feasible.