Workshops

Interfacial Energies, Diffusion Coefficients and Solubility Limits from Data on Precipitate Coarsening in Ni-base Alloys

Quantum State Tomography : Estimation and Experiment Design

OPTIMAL QUANTUM SYSTEM CONTROL AND IDENTIFICATION

Inverse methods of data analysis in neutron scattering

Reverse Monte Carlo modelling of diffraction data from crystalline materials

Design and Optimization of a Solid State Qubit System

Level Set Methods for Optimization Methods Involving Geometry andConstraints

Level-set based fast optimization techniques

Level Set Methods for Limited View and Low Sensitivity Tomographic Inverse Problems

A level-set shape optimization approach to the solution of a state-constrained optimal control problem.

Total variation minimization and applications

Optimization of eigenfunctions in an inhomogeneous medium

Optimization of eigenfunctions in an inhomogeneous medium

Phase-field method in optimal design

Structural Topology and Material Optimization with Level Set Methods

Various approximations to the inverse problem of the Helmholtz equation

Aspects of microlocal analysis in global seismology

Singular and quadratic inverse eigenvalue problems

The approximate inverse with applications to 3D X-ray CT

A Variety of Regularization problems

Inverse Medium Scattering for 3-D Time-Harmonic Maxwell's Equations

Inverse problems in periodic diffractive optics; uniqueness, stability and reconstruction

General approach to regularization of linear ill-posed problems in Hilbert spaces.

Using a priori information for constructing regularizing algorithms

Reconstruction of small inhomogeneities from boundary measurements

Mathematical aspects of nearfiled acoustical holography

The Inverse Electromagnetic Scattering Problem for Partially Coated Obstacles

Electrostatic imaging via conformal mapping

On the solution of the inverse electromagnetic medium scattering problem

On the circular Radon transform and its applications

Computational methods for large distributed parameter estimation problems in 3D

On the convergence of discrete inverse Sturm-Liouville problems on finite difference optimal grids

Convexification-based numerical methods for coefficient inverse problems

Iterative methods for the solution of linear discrete ill-posed problems with nonnegativity constraint.

Iterative methods for Tikhonov regularization

The Shannon sampling theorem and some extensions

Isometry and Local Isometry in Manifold Learning

Inverse Problems and Learning Machines: stable solutions are predictive (and vice versa for ERM)

Using Prior Knowledge to Forecast Mortality Time Series

Analysis of Support Vector Machine Classification

Permutation Tests for Classification and Approximation and estimation bounds for mixture of densities

On Tikhonov Regularization Algorithms in Statistical Learning