Parameter-Robust Preconditioning for Oseen Iteration Applied to Navier–Stokes Control Problems

Santolo Leveque, John Pearson

Sparse Bayesian Inference with Regularized Gaussian Distributions

Jasper Marijn Everink, Yiqiu Dong, Martin Skovgaard Andersen

An Accelerated Level-Set Method for Inverse Scattering Problems

Lorenzo Audibert, Houssem Haddar, Xiaoli Liu

A first-order optimization method with simultaneous adaptive pde constraint solver

Bjørn Christian Skov Jensen, Tuomo Valkonen

Limited memory restarted $\ell^p-\ell^q$ minimization methods using generalized Krylov subspaces

Alessandro Buccini, Lothar Reichel

A high order PDE-constrained optimization for the image denoising problem

Lekbir Afraites, Aissam Hadri, Amine Laghrib, Mourad Nachaoui

A primal dual projection algorithm for efficient constraint preconditioning

Anton Schiela, Martin Weiser, Matthias Stöcklein

An Inexact Trust-Region Algorithm for Nonsmooth Nonconvex Optimization

Robert Baraldi, Drew P. Kouri

Surface finite element approximation of Gaussian random fields on Riemannian manifolds

Annika Lang

Concentration analysis of multivariate elliptic diffusions

Cathrine Aeckerle-Willems, Claudia Strauch, Lukas Trottner

A Bernstein-von-Mises theorem for the Calder\'{o}n problem with piecewise constant conductivities

Jan Bohr

Bayesian estimation in a multidimensional diffusion model with high frequency data

Marc Hoffmann, Kolyan Ray

Parameter estimation for boundary conditions in ice sheet models

Fanny Seizilles

MCMC Methods for Low Frequency Diffusion Data

Matteo Giordano

Laplace priors and spatial inhomogeneity in Bayesian inverse problems

Sven Wang, Sergios Agapiou

Analysis of a localized non-linear ensemble Kalman-Bucy filter with sparse observations

Gottfried Hastermann, Jana de Wiljes

Aggregation by the Linear Functional Strategy in Regularized Domain Adaptation

Sergei Pereverzyev

The Henderson problem and the relative entropy functional

Fabio Marc Frommer, Martin Hanke

Early stopping for $L^{2}$-boosting in high-dimensional linear models

Bernhard Stankewitz

Early stopping for conjugate gradients in statistical inverse problems

Laura Hucker, Markus Reiß

Utilising Monte Carlo method for light transport in the inverse problem of quantitative photoacoustic tomography

Tanja Tarvainen, Niko Hänninen, Aki Pulkkinen, Simon Arridge

Discretisation-adaptive regularisation via frame decompositions

Tim Jahn

Operator Learning Meets Inverse Problems

Nicholas H Nelsen, Maarten V de Hoop, Nikola B Kovachki, Andrew M Stuart

UNLIMITED: The UNiversal Lepskii-Inspired MInimax Tuning mEthoD

Housen Li, Frank Werner

Bayesian hypothesis testing in statistical inverse problems

Remo Kretschmann, Frank Werner

Predictive risk regularization for Gaussian and Poisson inverse problems

Federico Benvenuto

Reconstruction of active forces in actomyosin droplets

Anne Wald, Emily Klass

Learning Linear Operators

Nicole Mücke

On the identification of small anomaly via MUSIC algorithm without background information

Won-Kwang Park

Construction of inclusions with vanishing generalized polarization tensors by imperfect interfaces

Doosung Choi, Mikyoung Lim

Spectral theory of surface plasmons in the nonlocal hydrodynamic Drude model

Hyundae Lee, Matias Ruiz, Sanhyeon Yu

Numerical computation of Laplacian eigenvalues based on the layer potential formulation

Mikyoung Lim, Jiho Hong

Recovering an elastic inclusion using the shape derivative of the elastic moment tensors

Daehee Cho, Mikyoung Lim

Some aspects of the spectrum of the Neumann-Poincaré operator

Stephen Shipman

Spectrum of the Neumann-Poincaré operator on thin domains

Kazunori Ando, Hyeonbae Kang, Miyanishi Yoshihisa