Mean value methods for solving the heat equation backwards in time

11/30/2020
by   A. Leitao, et al.
0

We investigate an iterative mean value method for the inverse (and highly ill-posed) problem of solving the heat equation backwards in time. Semi-group theory is used to rewrite the solution of the inverse problem as the solution of a fixed point equation for an affine operator, with linear part satisfying special functional analytical properties. We give a convergence proof for the method and obtain convergence rates for the residual. Convergence rates for the iterates are also obtained under the so called source conditions.

READ FULL TEXT
research
11/17/2020

Mean value iterations for nonlinear elliptic Cauchy problems

We investigate the Cauchy problem for a class of nonlinear elliptic oper...
research
06/15/2022

Convergence rates of a dual gradient method for constrained linear ill-posed problems

In this paper we consider a dual gradient method for solving linear ill-...
research
11/29/2020

On iterative methods for solving ill-posed problems modeled by PDE's

We investigate the iterative methods proposed by Maz'ya and Kozlov (see ...
research
10/05/2020

Solving an inverse heat convection problem with an implicit forward operator by using a Projected Quasi-Newton method

We consider the quasilinear 1D inverse heat convection problem (IHCP) of...
research
06/21/2020

Statistical deconvolution of the free Fokker-Planck equation at fixed time

We are interested in reconstructing the initial condition of a non-linea...
research
10/04/2021

Optimal hybrid parameter selection for stable sequential solution of inverse heat conduction problem

To deal with the ill-posed nature of the inverse heat conduction problem...
research
08/28/2020

Approximation of null controls for semilinear heat equations using a least-squares approach

The null distributed controllability of the semilinear heat equation y_t...

Please sign up or login with your details

Forgot password? Click here to reset