Recent progress in the anisotropic electrical impedance problem.
Reconstruction of map projection, its inverse and re-projection
This paper focuses on the automatic recognition of map projection, its inverse and re-projection. Our analysis leads to the unconstrained optimization solved by the hybrid BFGS nonlinear least squares technique. The objective function is represented by the squared sum of the residuals. For the map re-projection the partial differential equations of the inverse transformation are derived. They can be applied to any map projection. Illustrative examples of the stereographic and globular Nicolosi projections...
Reconstruction of the parameters of a system of connected beams from dynamic boundary measurements.
Reconstruction of the right-hand side of the elliptical equation from observation data obtained at the boundary
Recovering quantum graphs from their Bloch spectrum
We define the Bloch spectrum of a quantum graph to be the map that assigns to each element in the deRham cohomology the spectrum of an associated magnetic Schrödinger operator. We show that the Bloch spectrum determines the Albanese torus, the block structure and the planarity of the graph. It determines a geometric dual of a planar graph. This enables us to show that the Bloch spectrum indentifies and completely determines planar -connected quantum graphs.
Recovering the total singularity of a conormal potential from backscattering data
The problem of recovering the singularities of a potential from backscattering data is studied. Let be a smooth precompact domain in which is convex (or normally accessible). Suppose with and conormal to the boundary of and supported inside then if the backscattering data of and are equal up to smoothing, we show that is smooth.
Reduced-order Unscented Kalman Filtering with application to parameter identification in large-dimensional systems
We propose a general reduced-order filtering strategy adapted to Unscented Kalman Filtering for any choice of sampling points distribution. This provides tractable filtering algorithms which can be used with large-dimensional systems when the uncertainty space is of reduced size, and these algorithms only invoke the original dynamical and observation operators, namely, they do not require tangent operator computations, which of course is of considerable benefit when nonlinear operators are considered....
Reduced-order Unscented Kalman Filtering with application to parameter identification in large-dimensional systems
We propose a general reduced-order filtering strategy adapted to Unscented Kalman Filtering for any choice of sampling points distribution. This provides tractable filtering algorithms which can be used with large-dimensional systems when the uncertainty space is of reduced size, and these algorithms only invoke the original dynamical and observation operators, namely, they do not require tangent operator computations, which of course is of considerable benefit when nonlinear operators are considered....
Regularization and error estimates for nonhomogeneous backward heat problems.
Regularization of a discrete backward problem using coefficients of truncated Lagrange polynomials.
Reliable solutions of problems in the deformation theory of plasticity with respect to uncertain material function
Maximization problems are formulated for a class of quasistatic problems in the deformation theory of plasticity with respect to an uncertainty in the material function. Approximate problems are introduced on the basis of cubic Hermite splines and finite elements. The solvability of both continuous and approximate problems is proved and some convergence analysis presented.
Remarks on Carleman estimates and exact controllability of the Lamé system
In this paper we established the Carleman estimate for the two dimensional Lamé system with the zero Dirichlet boundary conditions. Using this estimate we proved the exact controllability result for the Lamé system with with a control locally distributed over a subdomain which satisfies to a certain type of nontrapping conditions.
Remarks on Parameter Identification. I.
Remarks on Parameter Identification. II. Convergence of the Algorithm.
Reverse convolution inequalities and applications to inverse heat source problems.
Riemann-Lebesgue properties of Green's functions with applications to inverse scattering.