We present new model of an approximate globally convergent method in the most challenging case of the backscattered data. In this case data for the coefficient inverse problem are given only at the backscattered side of the medium which should be reconstructed. We demonstrate efficiency and robustness of the proposed technique on the numerical solution of the coefficient inverse problem in two dimensions with the time-dependent backscattered data. Goal of our tests is to reconstruct dielectrics in land mines which is the special case of interest in military applications. Our tests show that refractive indices and locations of dielectric abnormalities are accurately imaged
In this paper we present at the first time an approximate globally convergent method for the reconst...
In this paper we present at the first time an approximate globally convergent method for the reconst...
The validity of the synthesis of a globally convergent numerical method with the adaptive FEM techni...
We present new model of an approximate globally convergent method in the most challenging case of th...
How can we differentiate between an underground stone and a land mine? We discuss a class of methods...
How can we differentiate between an underground stone and a land mine? We discuss a class of method...
The goal of this paper is to introduce the application of a globally convergent inverse scattering a...
We consider the problem of imaging of objects buried under the ground using experimental back-scatte...
An approximately globally convergent numerical method for a 1D coefficient inverse problem for a hyp...
An approximately globally convergent numerical method for a 1D coefficient inverse problem for a hyp...
We consider a two-stage numerical procedure for imaging of objects buried in dry sand using time-dep...
We consider a two-stage numerical procedure for imaging of objects buried in dry sand using time-dep...
We consider the inverse problem of the reconstruction of the spatially distributed dielectric consta...
We consider the inverse problem of the reconstruction of the spatially distributed dielectric consta...
The problem to be studied in this work is within the context of coefficient identification problems ...
In this paper we present at the first time an approximate globally convergent method for the reconst...
In this paper we present at the first time an approximate globally convergent method for the reconst...
The validity of the synthesis of a globally convergent numerical method with the adaptive FEM techni...
We present new model of an approximate globally convergent method in the most challenging case of th...
How can we differentiate between an underground stone and a land mine? We discuss a class of methods...
How can we differentiate between an underground stone and a land mine? We discuss a class of method...
The goal of this paper is to introduce the application of a globally convergent inverse scattering a...
We consider the problem of imaging of objects buried under the ground using experimental back-scatte...
An approximately globally convergent numerical method for a 1D coefficient inverse problem for a hyp...
An approximately globally convergent numerical method for a 1D coefficient inverse problem for a hyp...
We consider a two-stage numerical procedure for imaging of objects buried in dry sand using time-dep...
We consider a two-stage numerical procedure for imaging of objects buried in dry sand using time-dep...
We consider the inverse problem of the reconstruction of the spatially distributed dielectric consta...
We consider the inverse problem of the reconstruction of the spatially distributed dielectric consta...
The problem to be studied in this work is within the context of coefficient identification problems ...
In this paper we present at the first time an approximate globally convergent method for the reconst...
In this paper we present at the first time an approximate globally convergent method for the reconst...
The validity of the synthesis of a globally convergent numerical method with the adaptive FEM techni...