Lecture Notes and Abstracts

Surname	Title
Banks (Lecture 1)	Aggregate Data and Inverse Problems
Banks (Lecture 2)	Propagation of Uncertainty in Dynamical Systems, Random Differential Equations and Stochastic Differential Equations Nonlinear Stochastic Markov Processes and Modeling Uncertainty in Population
Barbone	Two steps forward and one step back: Improved inverse problem solutions using improved forward solvers
Casas	A Paradox in the Approximation of Dirichlet Control Problems in Curved Domains
Cliffe	Flow in a Channel with a Sudden Expansion
Dorn	Level set methods for structural inversion
Elliott	Numerical analysis of an inverse problem for the eikonal equation
Freitag	Resolution of sharp fronts in the presence of model error in variational data assimilation
Ghattas	A stochastic Newton method for large-scale statistical inverse problems, with application to seismic inversion
Hoang	Bayesian inverse problems for Burgers and Hamilton-Jacobi equations with white-noise forcing
Herzog	On Nonlinear Optimal Control Problems with an L¹ Norm
Hintermueller	Automated regularization parameter selection in multi-scale total variation models for image restoration
Hinze	Identification of matrix parameters in elliptic PDEs
Nichols	Conditioning, Preconditioning and Regularization of the Optimal State Estimation Problem
Scherzer	Variational Methods for the Solution of Inverse Problems
Schoenlieb	Regularized optimal transport for smoothing and density estimation
Siltanen	Sparsity-promoting Bayesian inversion
Simoni	Regularizing Priors for Linear Inverse Problems
Stuart Lecture 1	The Bayesian Approach to Inverse Problems
Stuart Lecture 2	The Bayesian Approach to Inverse Problems
Szepessy	Hamilton-Jacobi theory for inverse PDE
Tröltzsch Lecture 1	Aspects of numerical analysis in the optimal control of nonlinear PDEs Part 1 Part 2
Tröltzsch Lecture 2
Walther	Solving large-scale inverse electromagnetic scattering problems: A parallel AD-based approach
Wathen	Preconditioned iterative linear solvers for PDE-constrained Optimization problems
Xiu	An Efficient Surrogate Approach to Bayesian Inference in Inverse Problems
Zuazua	Control and Numerics : Continuous versus discrete approaches